Version 2.1.0 Speeds Analysis of Billion-Edge Data Sets with Improved Semantic Search Support and Query Performance

WASHINGTON, D.C. – May 4, 2016

Blazegraph, creator of the industry’s first GPU-accelerated high-performance database for large graphs, today announced version 2.1.0, with significant updates that give users faster, easier access to key data sets, such as new support for processing geospatial coordinates and optimizing queries against the National Center for Biotechnology Information’s (NCBI) PubChem database. In addition, Blazegraph 2.1.0 delivers new tools that enable semantic search on even the largest data published in the Linked Open Data structure, which is heavily used in global publishing, cultural and open government projects. To deliver the speed and performance needed to work with these massive data sets, version 2.1.0 includes significant improvements to its bulk load and query performance capabilities.

Blazegraph 2.1.0 users are already powering complex SPARQL queries to quickly uncover new insights. For example, Wikidata, the free knowledge base community, has deployed version 2.1.0 to power its query service. With this, data experts are using the geospatial capabilities to, for example, create graphs such as shared state borders in the United States, this map of all earthquakes, and this map of chemical elements and their discovery locations.

Another Blazegraph user, Seven Bridges, is a biomedical data analysis company selected by the National Cancer Institute to develop the Cancer Genomic Cloud program. This first complete ecosystem gives cancer researchers immediate access to one of the world’s largest genomic data sets — The Cancer Genome Atlas (TCGA) — and the computational resources to analyze it.

“We chose Blazegraph to manage the metadata on the Cancer Genomics Cloud because it helps researchers to easily build complex queries based on how they think, not on how the data is stored,” said Igor Bogicevic, CTO at Seven Bridges. “In addition to helping scientists find the data they need, Blazegraph and its new 2.1.0 version is just plain fast. It helps us deliver the scale and performance needed to meet some of the biggest cancer genomics data analysis challenges.”

Pre-configured for Geospatial, PubChem and Linked Data

Businesses and governments are making their data accessible for complex analysis and deep learning. To utilize this data, researchers in a wide range of fields — including materials science, precision medicine, genomics and cyber security — need new tools to achieve insights and innovative results. Blazegraph 2.1.0 makes it even easier for businesses and researchers to leverage graph databases in these complex, data-intensive use cases with its exceptional combination of standards support and features for building graph applications at very large scale, up to 50 billion nodes on a single server.

  • Geospatial Searching

Blazegraph 2.1.0 provides a new API that enables users to store latitude and longitude coordinates directly within the database, enabling users to integrate even the largest geospatial searches into their query. This feature supports a wide range of convenient and powerful capabilities, ranging from proximity searches to more complex routing and topology analysis. It has been shown to deliver sub-second graph queries to geolocate mobile devices running over billions of edges on the Amazon EC2 platform.

Geospatial search capabilities resulted from Blazegraph’s partnership with metaphacts GmbH, a leader in delivering knowledge graph applications using semantic web technologies. Peter Haase, metaphacts, GmbH CEO, said, “The 2.1.0 release of Blazegraph Database provides new features that are critical for today’s knowledge-driven applications. We have already deployed it in production using our leading metaphactory platform for enabling Enterprise Knowledge Graphs.”

  • PubChem

PubChem is a public repository for information on millions of chemical substances and their biological activities. Consisting of three interlinked databases (substance, compound and bioassay), PubChem is a critical resource for life science and materials science applications

Blazegraph 2.1.0 includes a pre-configured integration with the PubChem vocabulary, enabling researchers to download the PubChem core data set into an Amazon EC2 instance with minimal set-up and configuration. Then, they can search billions of chemical structures and combine that data with other information to research interactions, develop new compounds, and use in new, innovative applications.

  • Linked Data

More governments and corporations are using the W3C standards, known as the Linking Data(LD) project, to overcome the challenges of sharing data and making it transparent and readily searchable. Widely used in applications, such as open government, publishing and global heritage projects, this data is messy, disconnected and subject to unexpected structural updates. Data scientists need tools to connect and query data from many different and shifting sources. However, today’s tools are not capable of scaling to handle the vast quantities of information available in LD projects. Blazegraph 2.1.0, with integrated support for emerging data indexing and interchange standards such as JSON-LD and Linked Data Fragments (LDF), will become the platform of choice for exploring and analyzing this data.

Also included in this release is the Blazegraph-based TPF Server, a LDF server that provides a Triple Pattern Fragment (TPF) interface using Blazegraph Database as the backend. Developed in partnership with Olaf Dartig, Ph.D., a researcher at the Hasso Plattner Institute, the TPF server fills the gap in delivering open data at true web scale, and will be critical as LD becomes more widely used.

Version 2.1.0 Delivers Faster Performance on Bigger Data Sets

Since its inception, Blazegraph has been committed to delivering solutions for data scientists and researchers who need to work with billion-edge data sets but have hit a scalability wall with other graph database solutions. Blazegraph 2.1.0 enables them to load and process data sets at least 20 percent faster than previously possible. Other performance enhancements include “out of the box” compatibility with popular frameworks, such as text indexing library Apache Lucene 5.5.0. As part of this release, Blazegraph announced that it will be migrating towards Github for the open source releases in the future. Releases will still be available on Sourceforge.

About Blazegraph

Blazegraph is a provider of highly scalable software for solving complex graph and machine learning algorithms. Founded in 2006, the company is the creator of Blazegraph DB, an ultra-high performance graph database supporting up to 50 billion edges on a single machine. Blazegraph GPU and Blazegraph DASL are its disruptive new technologies using GPUs to enable extreme scaling that is thousands of times faster and 40 times more affordable than CPU-based solutions. Fortune 500 companies and government agencies – including DARPA, EMC, Wikimedia Foundation and Yahoo7 – rely on Blazegraph for graphs at scale because, in graphs, size matters. For more information, visit www.blazegraph.com.

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Media Contact

Laurie Gibson
Kickstart Consulting for SYSTAP
Phone: 650.815.1438
Email: lgibson@kickstartconsulting.com

Research Firm cites leadership in large-scale, graph data analysis

WASHINGTON, D.C. – January 20, 2016 Blazegraphcreator of the industry’s first GPU-accelerated high-performance database for large graphs, has been named as one of the “10 Companies and Technologies to Watch in 2016” by The Bloor Group.The Austin, Texas-based independent enterprise software industry research firm praised Blazegraph’s leadership in the nascent market for graph data analytics.
The Bloor Group’s 2016 list features companies and technologies that are distinctive, innovative and in line with what the analysts consider to be the general direction of the IT industry. Blazegraph DB is the only graph database solution included in this year’s list. Founded in 2009, The Bloor Group provides detailed analysis of today’s enterprise software industry.
“Blazegraph is exactly the kind of engine that can open up this field of large-scale graph data analytics,” said Robin Bloor, chief analyst at The Bloor Group, a renowned expert on data and information management and creator of the Information-Oriented Architecture. “Blazegraph can analyze graph data with millions, billions and even trillions of edges in the graph, processing billions of edges in milliseconds. The product gets its remarkable speed from its ability to exploit GPU technology.”
Blazegraph DB is an ultra-scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs, capable of supporting up to 50 billion edges on a single machine. The solution is in use at several Fortune 500 companies, government agencies and other organizations, including AutoDesk, DARPA, EMC, Wikimedia Foundation and Yahoo7. Last month, the company extended its product line with the introduction of Blazegraph GPU and Blazegraph DASL, which leverage the Blazegraph’s patent-pending technology for making NVIDIA GPUs accessible for graph and machine learning applications.
“Companies are facing a deluge of data, which presents significant challenges for ongoing exploration and discovery of data. With Blazegraph and our ability to leverage GPUs, we are able to deliver graph analytics 100 times faster and 40 times less expensive than CPU-based solutions,” said Brad Bebee, Blazegraph’s CEO. “We are honored to be acknowledged by The Bloor Group for our innovations.”

About Blazegraph

Formerly known as SYSTAP, LLC, Blazegraph is a provider of highly scalable software for solving complex graph and machine learning algorithms. Founded in 2006, the company is the creator of Blazegraph DB, an ultra-high performance graph database supporting up to 50 billion edges on a single machine. Blazegraph GPU and Blazegraph DASL are its disruptive new technologies using GPUs to enable extreme scaling that is thousands of times faster and 40 times more affordable than CPU-based solutions. Fortune 500 companies and government agencies – including DARPA, EMC, Wikimedia Foundation and Yahoo7 – rely on Blazegraph for graphs at scale because, in graphs, size matters. For more information, visit www.blazegraph.com.

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Media Contact

Laurie Gibson
Kickstart Consulting for SYSTAP
Phone: 650.815.1438
Email: lgibson@kickstartconsulting.com

Blazegraph provides highly scalable software for solving complex graph and machine learning algorithms to Fortune 500 companies and government agencies

WASHINGTON, D.C. – January 20, 2016 SYSTAPannounced today that it has formally changed its name to Blazegraph. The company is a leader in providing highly scalable software for solving complex graph and machine learning algorithms, which is used by Fortune 500 companies and government agencies around the world.
“With greater adoption of our core technology and the launch of two new products with graphics processing units (GPU) acceleration, we felt the time was right to align our corporate and product brands,” said Brad Bebee, Blazegraph’s CEO.
The company’s flagship product is Blazegraph DB, an ultra-high performance graph database supporting up to 50 billion edges on a single machine. Last month, the company introduced Blazegraph GPU and Blazegraph DASL, which leverage the Blazegraph’s patent-pending technology for making NVIDIA GPUs accessible for graph and machine learning applications. With these offerings, Blazegraph has made it possible for users to accelerate graph queries and simplify creation of sophisticated algorithms, respectively.

About Blazegraph

Formerly known as SYSTAP, LLC, Blazegraph is a provider of highly scalable software for solving complex graph and machine learning algorithms. Founded in 2006, the company is the creator of Blazegraph DB, an ultra-high performance graph database supporting up to 50 billion edges on a single machine. Blazegraph GPU and Blazegraph DASL are its disruptive new technologies using GPUs to enable extreme scaling that is thousands of times faster and 40 times more affordable than CPU-based solutions. Fortune 500 companies and government agencies – including DARPA, EMC, Wikimedia Foundation and Yahoo7 – rely on Blazegraph for graphs at scale because, in graphs, size matters. For more information, visit www.blazegraph.com.

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Media Contact

Laurie Gibson
Kickstart Consulting for SYSTAP
Phone: 650.815.1438
Email: lgibson@kickstartconsulting.com

Blazegraph GPU and DASL Accelerate and Simplify Ability to Derive Insights from Complex, Multi-source Data Streams, While Driving Radical Shift in Computing Cost

WASHINGTON, D.C. – December 15, 2015 SYSTAP, creator of Blazegraph, the industry’s first GPU-accelerated high performance database for large graphs, today introduced two new products with graphics processing units (GPU) acceleration into the Blazegraph family: Blazegraph GPU and Blazegraph DASL (pronounced “Dazzle”). These products leverage the company’s patent-pending technology for making NVIDIA GPUs accessible for graph and machine learning applications to accelerate graph queries and simplify creation of sophisticated algorithms, respectively. Both solutions will be available as an on-demand SaaS offering in 2016.
Blazegraph GPU is eagerly anticipated by a number of organizations, including the British Museum, according to Dr. Barry Norton, ResearchSpace Development Management at the museum. A current Blazegraph customer, the museum anticipates using Blazegraph GPU to boost the power of its ResearchSpace program, which is a collaborative environment for humanities and cultural heritage research.
Exploding data volumes and the need to uncover new insights from multi-source data streams are driving the growth of applications in domains such as drug discovery, recommendation systems, cyber network analysis and social networking, and are enabled by machine learning and predictive analytics. However, the increasing levels of sophistication mean the analytics must process and develop insights over data with complex dependencies from multiple, unstructured sources.
Traditional SQL data structures are not adequate for researchers and data scientists who need to explore huge data sets with complex dependencies. Modern graph databases offer a powerful and efficient way to represent diverse entities and the relationships between them. However in-memory (cache) analytical techniques of popular graph databases are nearly incapacitated as the size of the data sets and relationships between them increase exponentially. In essence, graph databases are not bound by “compute” issues, but rather by memory bandwidth, or “cache thrashing” issues, which results when swapping data in and out of the cache as the system works to uncover new sets of relationships.
“Analytics applied over complex, many-to-many data relationships hit the ‘Graph Cache Thrash’ bottleneck and grind to a halt, failing to deliver good performance or to operate at scale,” said Brad Bebee, SYSTAP CEO. “GPU hardware provides a compelling performance increase for data-intensive, predictive analytic applications. With Blazegraph and our new GPU products, users can harness the computing power comparable to what was only available from supercomputers, such as a Cray, at a fraction of the cost.”
The standard measure of graph analytic performance is traversed edges per second(TEP). SYSTAP compared the hardware cost evaluation for its new Blazegraph GPU in traversing one billion edges per second, or a GTEP, to other approaches. Based on a calculation of Graph 500 Benchmark results, [http://www.graph500.org/] the widely used Cray XMT supercomputer costs $180,000 per GTEP. The new Blazegraph GPU solution, including NVIDIA GPUs, offers comparable performance at $18,000 per GTEP, offering users a 10x cost advantage over conventional technology (see diagram).
“Prior to the introduction of Blazegraph GPU there was no affordable product on the market that could analyze very large graphs with appropriate performance,” said Philip Howard, research director at Bloor. “From this perspective, Blazegraph GPU is in a class of one.”

About Blazegraph GPU and Blazegraph DASL

SYSTAP’s flagship product, Blazegraph, is an open source high-performance graph database that features robust, scalable and enterprise-class storage with online backup, high-availability and scale-out. In March 2015, SYSTAP discovered a way to exploit the main memory bandwidth advantages of GPUs to deliver graph analytics 100s of times faster than CPU-based approaches. Today’s product announcements extend Blazegraph’s leadership in GPU-based solutions.
Blazegraph GPU provides drop-in GPU acceleration, with full support for existing RDF/SPARQL and Property Graph (Tinkerpop) applications. Blazegraph GPU will deliver 200x to 300x graph query acceleration, requiring virtually no changes to an application. Leveraging NVIDIA’s General Purpose Graphics Processing Unit (GP-GPU) technology, Blazegraph GPU solves the “Graph Cache Thrash” challenge by exploiting the superior bandwidth to main memory and effective parallelism of GPUs. Blazegraph can run on a single GPU or cluster of GPUs. With Blazegraph high-performance computing on a cluster of 64 NVIDIA K40 GPUs, users can traverse a scale-free graph of 4.3 billion directed edges in .15 seconds for a throughput of 32 billion traversed edges per second (32 GTEPS).
Blazegraph DASL is a new domain-specific language that enables analytic experts to write algorithms for large-scale machine learning and other complex applications that efficiently run on GPUs, without the need for parallel programming expertise or low-level device optimization. By combining the ease of Spark with the speed of CUDA and GPUs, their applications can operate up to 1,000x faster than Spark without GPUs. It provides a Scala-based language to write graph and big data analytics and is complementary to the Spark and Hadoop ecosystems. Projects that take months to code and optimize directly on the GPU can be done in a matter of hours with Blazegraph DASL.
Blazegraph GPU is available now as licensed software. In early 2016, Blazegraph GPU will be introduced as an on-demand SaaS offering and as a hardware appliance. Blazegraph DASL will be generally available in Q1 2016. Pricing is based on number and type of server and includes a support subscription. Special pricing is available for non-profits and research organizations.

About SYSTAP

SYSTAP, LLC, is a provider of highly scalable software for solving complex graph and machine learning algorithms. Founded in 2006, the company is the creator of Blazegraph, an ultra-high performance graph database supporting up to 50 billion edges on a single machine, and Mapgraph. Both solutions use the new disruptive technology of graphics processing units (GPUs) to accelerate data-parallel graph analytics. SYSTAP’s solutions enable extreme scaling that is thousands of times faster and 40 times more affordable than CPU-based solutions. Fortune 500 companies and government agencies – including AutoDesk, DARPA, EMC, Wikimedia Foundation and Yahoo7 – rely on Blazegraph for graphs at scale because, in graphs, size matters. For more information, visit www.blazegraph.com.

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Media Contact

Laurie Gibson
Kickstart Consulting for SYSTAP
Phone: 650.815.1438
Email: lgibson@kickstartconsulting.com

SUPPORTING CONTENT:
VIDEO LINK:
https://vimeo.com/148519808
SYSTAP CEO Brad Bebee at discusses Blazegraph GPU and DASL at SC 2015
Infographic:
Multi-GPU

November 18 Presentation Explores How to Deliver
Graph Analytics Faster and More Cost Effectively

SC15, AUSTIN, Texas – Nov. 16, 2015
Brad Bebee, CEO of SYSTAP, creator of Blazegraph,
the industry’s first GPU-accelerated high performance database for large graphs, will speak at SC15, the premier event for the international supercomputing community. Bebee’s presentation, “Overcoming the Barriers of Graphs on GPUs: Delivering Graph Analytics 100X Faster and 40X Cheaper,” is scheduled for Wednesday, Nov. 18, at 1 p.m. in the NVIDIA GPU Technology Theater (Booth 1021). SC15 runs November 16-19 at the Austin Convention Center in Austin, Texas, where SYSTAP is being featured by NVIDIA as a leading provider of data analytics solutions using GPUs.
While graph problems may look similar to other big data challenges, graphs have very different computational workloads and scaling requirements. Techniques that work on a small scale will typically fail to deliver on larger graphs, and because the volume of data under analysis is constantly increasing, it is virtually impossible to predict how to efficiently store the information for the rapid computational scale that will be required for ongoing exploration and discovery of data.
“Virtually every graph database application is eventually hampered by query and analytic performance as the data scale increases,” said Bebee. “To achieve graph analytics at scale, you need the right combination of hardware and software. Multi-GPU acceleration is an exciting addition to our existing High Availability and Scale-Out architectures. I look forward to explaining how Blazegraph can help speed data analytics and overcome other adoption barriers for applications of all sizes.”
For organizations and analytic application providers focused on heavy data mining and predictive analytics involving very large datasets with exponentially growing sets of relationships, existing graph databases using key-value stores or CPU in-memory approaches simply cannot provide the scale for aggressive computational analysis. SYSTAP has developed its technology to exploit the advantages of GPU hardware, providing the ability to deliver analytics 100 times faster and 40 times cheaper than CPU-based solutions. During his presentation, Bebee will discuss how SYSTAP’s Blazegraph GPU delivers 200x to 300x query performance increases for graph query applications while requiring little or no code changes and offering support for existing APIs. He will present results showing how Blazegraph DASL (available later this year) delivered 1800x speed-ups over Spark and GraphX graph traversals.
Blazegraph solutions power graphs for Fortune 500 customers, governments and research organizations, from drug discovery to device management to national defense. EMC powers its Viper Storage Resource Manager (SRM) solution using Blazegraph, and Wikimedia selected Blazegraph over Titan, Neo4j, and many others to power the Wikidata Query Service.

About SYSTAP

SYSTAP, LLC, is a provider of highly scalable software for solving complex graph and machine learning algorithms. Founded in 2006, the company is the creator of Blazegraph, an ultra-high performance graph database supporting up to 50 billion edges on a single machine, and Mapgraph. Both solutions use the new disruptive technology of graphics processing units (GPUs) to accelerate data-parallel graph analytics. SYSTAP’s solutions enable extreme scaling that is thousands of times faster and 40 times more affordable than CPU-based solutions. Fortune 500 companies and government agencies – including AutoDesk, DARPA, EMC, Wikimedia Foundation and Yahoo7 – rely on Blazegraph for graphs at scale because, in graphs, size matters. For more information, visit www.blazegraph.com.

SYSTAP Launches Mapgraph™ to Process Graph Data 10,000 Times Faster
Technology firm SYSTAP introduces a game changing technology
for accelerated graph processing using Graphics Processing Units (GPUs). It will revolutionize the capabilities to use graph analytics for drug discovery, fraud detection, cyber-defense, and many other applications.Washington, DC – March 10, 2015 – SYSTAP, LLCIn today’s always-on and always-connected world, the amount of data that people generate every second is huge and is growing at an incredible rate. Graphs are a way to organize this information by linking it together. Not just nodes and links, and beyond Facebook, LinkedIn, and six-degrees of Kevin Bacon, graphs occur in many important domains and markets. A social network of people and their connections, a fraud-detection system, a battlefield filled with soldiers and other resources, or a human body made of many biological systems are all examples of graphs. The potential of graph analytics is well known, but existing platforms have been limited in their ability to process this information at a large scale. The next generation of significant business, medical, and information science advances will made by those who can harness the data and the links between it quickly and cost-effectively, drawing new conclusions and making discoveries at lightning speed.SYSTAP has a new approach to processing this data, and it’s already showing impressive results. They are delivering graph analytics that process data up to 10,000 times faster using Mapgraph™ technology. In October 2014, at the IEEE Bigdata Conference, SYSTAP demonstrated their technology achieving a rate of 32 Billion Traversed Edges Per Second (GTEPS) . This puts their performance at that of a super-computer for a 1/10 of the cost.
“Facebook is currently more than a trillion edges and we
believe it takes more than 10 minutes using 200+ racks of servers to traverse their graph over a single iteration. We believe our Mapgraph™ technology could do it in seconds on a cluster of GPUs with similar RAM,” says Brad Bebee, CEO, SYSTAP.
This has the attention of the most cutting-edge thinkers in technology and data science. SYSTAP is one of 12 companies chosen to present at the Early-Stage Challenge at the NVIDIA GPU Conference on March 18, 2015, with a chance to win $100,000.
SYSTAP will also announce the launch of its products related to its Mapgraph ™ technology at the conference. Mapgraph™ Accelerator is a GPU-based plug-in to SYSTAP’s industry leading, open-source graph database platform, Blazegraph™. Mapgraph™ Accelerator marries the speed of GPUs with familiar Java APIs and standardized query languages. It will provide the world’s first and best platform for building graph applications with GPU-acceleration. It will bridge the gap between the Blazegraph™ database platform and the GPU acceleration for graph analytics. Users of the Blazegraph™ platform will be able to leverage GPU-accelerated graph analytics via a Java Native Interface (JNI) and via predicates in SPARQL query. Mapgraph™ HPC is the application of the technology to GPU clusters where it can traverse 100 billion edge graphs in sub-second times.
How does MapGraph process data so quickly? It relies on three approaches working together. First, it uses parallel processing. Instead of six or eighteen computer cores processing data at one time, it uses 32,000 cores within each GPU and multiple GPUs. Second, the data is partitioned. Instead of processing every piece of data every time, the data is chunked out like a graph, so the system knows not to process the same data repeatedly. Finally, MapGraph scales to large clusters of GPUs for huge problems. It optimizes the communications between the GPUs using “overlapping communication” patterns. If the communication was not optimized, communicating across all those cores would consume much of the processing power of the system.
Companies from many fields need faster processing of big, graph data. Until now, it would be prohibitively expensive for most companies to pay for that processing power. Companies might spend over a million dollars on hardware just to get started. MapGraph brings that investment down by an order of magnitude to $100-200k. Now Platform as a Service (PaaS) providers such as Amazon Web Services, SYSTAP is looking at ways people could rent space on a shared system with a product called MapGraph HPC™. Customers will be able to rent space on a shared system for high performance graph analytics. The low cost and ease of use opens new markets. It enables non-traditional applications of HPC techniques and graph analytics.
“We are building software solutions for big graphs that are accessible to a full range of businesses from very large scale HPC clusters to on-demand SaaS customers. We are now accepting requests for beta customers of our Mapgraph™ technology. What is your graph data waiting for?” remarks Bebee.
Press Contact
Brad Bebee
SYSTAP, LLC
1875 Connecticut Ave NW 10th FLR
Washington, DC 20009
sales@systap.com
metaphacts and Systap announce joint venture agreement to develop portfolio for large scale knowledge graph management
Walldorf, Germany – February 18, 2015 – metaphacts GmbH, a Germany-based provider of software and services for creating and managing large scale knowledge graphs, and Systap, LLC, a provider of highly scalable database solutions for big graphs, today announced a joint venture to develop innovative solutions for large scale graph management and deliver an open platform for the development of custom graph-based applications.metaphacts and Systap have joined forces to simplify the access to Systap’s graph database solutions and bring the power of knowledge graphs closer to data experts and data scientists, as well as end users. The partners are aiming at delivering a highly scalable platform for developing new applications for areas such as business, finance, life sciences, cultural heritage and more. The platform will tightly integrate Systap’s graph database and graph analytics solutions and will be available for both local and cloud-based deployments to expedite the on-boarding of new customers.Targeting both organizations that want to create their own knowledge graphs, as well as organizations with existing large graphs, the solution delivers powerful features for collaborative knowledge graph management and graph analytics. Data experts can use the platform for data integration and transformation, collaborative data curation and annotation, data enrichment, semantic search, and visualization and exploration. Data scientists benefit from features such as built-in data-science workflows, easy integration of data from any source, and interactive visualization and exploration.Mobile and augmented reality scenarios will also be covered in future by the joint platform. Targeting end users, the platform captures user context, identifies relevant information in the knowledge graph, and seamlessly and proactively delivers interesting content.
Beyond technical integration activities, metaphacts and Systap are also collaborating in business development activities aiming at strengthening Systap’s presence in the European market and developing new, joint use cases which exploit the unique capabilities delivered by Systap products.
metaphacts appoints new CTO to support joint venture
To support this joint venture, metaphacts has appointed Dr. Michael Schmidt to the role of chief technology officer, effective January 1, 2015. Schmidt brings experience and profound expertise in the areas of semantic technologies and graph databases, information systems and cloud computing. He holds a PhD in Computer Science from the University of Freiburg, where he conducted extensive research in the area of semantic databases and efficient data processing. Prior to joining metaphacts, Schmidt has served as research manager at IMC AG and research and development architect at fluid Operations AG.
“metaphacts helps customers to extract value out of their data, offering end-to-end solutions based on emerging, innovative ideas, technologies, and standards. With many years of experience in the semantic data management field and as product manager, I am looking forward to designing and developing novel groundbreaking semantic technology services and applications at metaphacts.” said Schmidt. “The partnership with Systap is essential, as it provides us with access to leading graph database management technology as a basis for service and application development. In turn, we will help Systap to further integrate and optimize their products, and bring them closer to application developers – a win-win situation!”, he continued.
“As we strive to establish our solutions on the market, we depend on technology leaders such as Michael to bring in a focus on innovation combined with a proven background delivering customer-focused, high-quality products,” added Dr. Peter Haase, chief executive officer at metaphacts. “I am pleased and excited to welcome Michael to our team in the role of CTO, and look forward to a productive collaboration for years to come.”
About metaphacts
Founded in 2014, metaphacts aims at empowering customers to build and use their own knowledge graphs in enterprise or open data environments. The company provides the expertise, products and services to create thematically specialized knowledge graphs in areas such as business, finance, life sciences, cultural heritage, and more. With a portfolio built entirely on open standards and technologies, metaphacts provides end-to-end knowledge graphs solutions – from creating knowledge graphs to managing and maintaining them, to building applications on top of knowledge graphs. For more details on metaphacts and their solutions please visit www.metaphacts.com
About SYSTAP
SYSTAP was founded with vision of building highly scalable software solutions for big graphs. Graph problems have very different computational workloads and scaling requirements than conventional big data challenges. Our software and GPU solutions help customers get right the architecture, the software, and the hardware to achieve scaling and high throughput for graph traversal and graph mining. SYSTAP’s Blazgraph platform is a market leader and supports both Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop, blueprints, vertex-centric) APIs. It features robust, scalable, fault-tolerant, enterprise-class storage and query and high-availability with online backup, failover and self-healing. Blazegraph powers many high profile enterprise applications for customers including EMC, AutoDesk, and Yahoo!7, finance, pharmaceuticals, and bioinformatics. SYSTAP’s MapGraph™ is a new and disruptive technology for organizations that need to process large graphs in near-real time using GPU technology. SYSTAP has demonstrated MapGraph™ achieving performance 10,000X faster than other CPU-based technologies on data-parallel graph analytics.
SYSTAP provides support, services, and commercial licensing for its big graph technologies. For more information, please contact us at sales@systap.com or www.systap.com
Press contacts
Dr. Peter Haase | metaphacts GmbH
Industriestraße 39 | 69190 Walldorf | Germany
p: +49 6227 8308660 | m: +49 157 50152441 | e: press@metaphacts.com
Brad Bebee | SYSTAP, LLC
1875 Connecticut Ave NW 10th FLR, Washington, DC 20009
p: +1 202 642 7961 | e: sales@systap.com
SYSTAP announces the Blazegraph™ Platform for RDF and Property Graph DatabasesFor immediate release: 02/12/2015Washington, DC – February 12, 2015 – SYSTAP, LLC”Hello BlazeGraph™ for big graphs.” was the first tweet from @blazegraph as SYSTAP announced the release of its Blazegraph™ platform. SYSTAP was started with a very clear vision — to build high quality, highly scalable, open-source software solutions for big graphs. Since 2006, SYSTAP’s graph database platform has been Bigdata® at systap.com.
However, you may have noticed that the rest of the world has discovered “big data”!
SYSTAP is very pleased to launch its new graph database platform Blazegraph™ with yesterday’s software release available now on Sourceforge. It is built on the same open source GPLv2 platform and maintains 100% binary and API compatibility with Bigdata®. Blazegraph™ will take over as SYSTAP’s flagship graph database. It is specifically designed to support big graphs offering both Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop, blueprints, vertex-centric) APIs. It features robust, scalable, fault-tolerant, enterprise-class storage and query and high-availability with online backup, failover and self-healing. It is in production use with enterprises such as Autodesk, EMC, Yahoo7!, and many others. Blazegraph™ provides both embedded and standalone modes of operation.
SYSTAP will be fully integrating the Blazegraph™ brand over the course of 2015 and all of the existing wiki, blog, and other related pages will be updated. 2015 will also bring a number of exciting new features in Blazegraph™ including improved deployment support, SaaS offerings, support for user-based security models, query optimization, and scalability enhancements.
About SYSTAP
SYSTAP was founded with vision of building highly scalable software solutions for big graphs. Graph problems have very different computational workloads and scaling requirements than conventional big data challenges. Our software and GPU solutions help customers get right the architecture, the software, and the hardware to achieve scaling and high throughput for graph traversal and graph mining. SYSTAP’s Blazegraph™ graph database platform powers many high profile enterprise applications across domains such as publishing, finance, pharmaceuticals, and bioinformatics. SYSTAP’s MapGraph™ Accelerator and MapGraph™ HPC is a new and disruptive technology for organizations that need to process large graphs in near-real time using GPU technology. SYSTAP has demonstrated MapGraph™ achieving performance 10,000X faster than other CPU-based technologies on data-parallel graph analytics.
SYSTAP provides support, services, and commercial licensing for its big graph technologies. For more information, please contact us at sales@systap.com or www.systap.com.
SYSTAP will be featured at the 2015 NVIDIA GPU Technology Conference in San Jose, CA at the Emerging Companies Summit in the Early Stage Pavilion showcasing recent advances in graph databases and GPU acceleration for graph analytics. Come join us there!
Press Contact
Brad Bebee
SYSTAP, LLC
1875 Connecticut Ave NW 10th FLR
Washington, DC 20009
sales@systap.com

SYSTAP and metaphacts Collaborate to Deliver Innovative Solutions for Knowledge Graphs
For immediate release: 10/22/2014
Trentino, Italy – October 22, 2014 – SYSTAP, LLC and metaphacts announced at this year’s International Semantic Web Conference (ISWC) the start of a new partnership to deliver innovative solutions for building and managing knowledge graphs. Knowledge graphs are large networks of entities and their semantic relationships. They are a powerful tool that can change the way we do search, analytics, recommendations, and data integration.
SYSTAP solutions allow customers to manage, query, and analyze large graphs. They help customers to combine and reuse information, leading to cost savings and new revenue opportunities. For example, Yahoo7! partnered with SYSTAP to implement a dynamic semantic content portal. The new portal uses Linked Data technologies to automate the aggregation, publishing, and re-purposing content. Craig Penfold, CTO Yahoo7 said, “By changing the underlying datastore we are able to pull in all the content around a character dynamically and at scale.” The new site resulted in a 30 percent increase in page opens, 65 percent increase in video starts and a 200 percent increase in time spent on the site.
metaphacts empowers customers to build and use their own knowledge graphs and provides the expertise, products and services to create thematically specialized knowledge graphs. This includes technology for data acquisition and integration, authoring new content, as well as linking to and reusing external knowledge sources. Using metaphacts, custom applications utilizing knowledge graphs can be created much more rapidly.
Partnership at a glance
The two companies have teamed up to deliver joint solutions for big graphs in Europe and Asia. The customer offering will be based on SYSTAP technology – bigdata® and MapGraph™ – and metaphacts technology for creating knowledge graphs and rapid application development, along with consulting and customization expertise.
“metaphacts CEO Peter Haase has deep experience building knowledge graphs and knowledge graph applications. As a reseller, metaphacts will bring SYSTAP’s scalable bigdata® RDF database and next generation MapGraph™ technology into the European market. We are excited about the opportunity to work with metaphacts to deliver SYSTAP technologies as part of their knowledge graph applications”, said Bryan Thompson, CEO at SYSTAP, LLC.
“SYSTAP delivers innovative and highly scalable platforms for big graphs. We are looking forward to combining this with our expertise in knowledge graph management to create innovative and compelling solutions for our customers”, added Dr. Peter Haase, CEO at metaphacts.
Meet at ISWC 2014
SYSTAP and metaphacts are attending this year’s ISWC in Trentino, Italy and presenting their joint solutions. ISWC 2014 is the premier international forum for the Semantic Web / Linked Data Community. From October 21 through 23, Riva del Garda will be hosting over 600 researchers and entrepreneurs from all over the world to discuss the future of practical, scalable, user-friendly, and game changing solutions. ISWC will be featuring talks by experts from Google, University of Southern California, Fondazione Bruno Kessler, and the Open Data Institute. To meet up with the partners at ISWC, please contact SYSTAP or metaphacts directly.
To learn more about SYSTAP please visit http://www.systap.com/.
For more details on metaphacts and their solutions please visit http://www.metaphacts.com.
About SYSTAP
SYSTAP, LLC was founded in 2006 with the vision of building high quality, highly scalable, open-source and commercial software solutions for big graphs. While graph problems may look similar to other big data challenges from the outside, they have very different computational workloads and scaling requirements. Techniques that work on a small scale will often fail to deliver on larger graphs. SYSTAP’s solutions fill the gap created by this “big graph anti-pattern”. We believe the only way to get scaling and high throughput for graph traversal and graph mining is to get the architecture, the software, and the hardware right. Helping customers achieve their business objectives with graph data is our vision, mission, and the essence of our software solutions. Customers include Autodesk, EMC, large banks, media properties, and businesses in the bioinformatics space.
SYSTAP”s Bigdata® platform is a market leader and supports both Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop, blueprints, vertex-centric) APIs. It features robust, scalable, fault-tolerant, enterprise-class storage and query and high-availability with online backup, failover and self-healing. Bigdata® powers many high profile enterprise applications for customers including EMC, AutoDesk, and Yahoo!7.
SYSTAP’s MapGraph™ is a new and disruptive technology for organizations that need to process large graphs in near-real time using GPU technology. SYSTAP has demonstrated MapGraph™ achieving performance 10,000X faster than other CPU-based technologies on data-parallel graph analytics. SYSTAP is actively seeking Beta customers for this technology.
SYSTAP provides support, services, and commercial licensing for its big graph technologies. For more information, please contact us at sales@systap.com or www.systap.com.
For more information about Yahoo7 and other success stories, please see our blog.
About metaphacts
Founded in 2014, metaphacts aims at empowering customers to build and use their own knowledge graphs in enterprise or open data environments. The company provides the expertise, products and services to create thematically specialized knowledge graphs in areas such as business, finance, life sciences, cultural heritage, and more. With a portfolio built entirely on open standards and technologies, metaphacts provides end-to-end knowledge graphs solutions – from creating knowledge graphs to managing and maintaining them, to building applications on top of knowledge graphs. For more details on metaphacts and their solutions please visit metaphacts.com.
Press Contacts
Dr. Peter Haase Brad Bebee
metaphacts GmbH SYSTAP, LLC
Kautzelweg 13 4501 Tower Road
69190 Walldorf, Germany Greensboro, NC 27410, USA
info@metaphacts.com sales@systap.com

Syapse Selects SYSTAP’s Bigdata® as Semantic Database for Precision Medicine Data Platform
For immediate release: 8/19/2014
WASHINGTON, D.C. – SYSTAP, LLC. today announced that Syapse, the leading provider of software for enabling precision medicine, has selected Bigdata® as its backend semantic database. Syapse, which launched the Precision Medicine Data Platform in 2011, will use the Bigdata® database as a key element of their semantic platform. The Syapse Precision Medicine Data Platform integrates medical data, omics data, and biomedical knowledge for use in the clinic. Syapse software is delivered as a cloud-based SaaS, enabling access from anywhere with an internet connection, regular software updates and new features, and online collaboration and delivery of results, with minimal IT resources required. Syapse applications comply with HIPAA/HITECH, and data in the Syapse platform are protected according to industry standards.
Syapse’s Precision Medicine Data Platform features a semantic layer that provides powerful data modeling, query, and integration functionality. According to Syapse CTO and Co-Founder, Tony Loeser, Ph.D., “We have adopted SYSTAP’s graph database, Bigdata®, as our RDF store. Bigdata’s exceptional scalability, query performance, and high-availability architecture make it an enterprise-class foundation for our semantic technology stack.”
SYSTAP’s flagship product, Bigdata®, has been a market leader since 2006 in providing high performance, scalable solutions for graphs. The Bigdata® platform supports both Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop, blueprints, vertex-centric) APIs. It features robust, scalable, fault-tolerant, enterprise-class storage and query, and high-availability with online backup, failover and self-healing. Bigdata® powers many high profile enterprise applications for customers including Syapse, EMC, AutoDesk, and Yahoo!7. Learn more at http://systap.com.
SYSTAP Chief Scientist and Co-Founder, Bryan Thompson, will be presenting at the 2014 Semantic Technologies and Business Conference (August 19-21, San Jose, CA) discussing how this technology is being used today to power graph analytics at scale to enable semantic technologies for the enterprise. He will also discuss how SYSTAP’s disruptive MapGraph technology accelerates graph operations by over 10,000x using GPUs. Learn more at http://mapgraph.io.
About Syapse
Syapse is a software company enabling healthcare providers to deploy precision medicine programs. Leading academic and community healthcare providers use the Syapse Precision Medicine Data Platform to integrate complex genomic and clinical data to provide clinicians with actionable insights at point of care, enabling diagnosis, treatment, and outcomes tracking. Headquartered in Palo Alto, California, Syapse is backed by Safeguard Scientifics (NYSE:SFE) and The Social+Capital Partnership. For more information, please visit www.syapse.com.
About SYSTAP
SYSTAP, LLC was founded in 2006 with vision of building high quality, highly scalable, open-source software solutions for big graphs. While graph problems may look similar to other big data challenges from the outside, they have very different computational workloads and scaling requirements. Techniques that work on a small scale will often fail to deliver on larger graphs. SYSTAP’s solutions fill the gap created by this “big graph anti-pattern”. We believe the only way to get scaling and high throughput for graph traversal and graph mining is to get the architecture, the software, and the hardware right. Helping customers achieve their business objectives with graph data is our vision, mission, and the essence of our software solutions.
SYSTAP provides support, services, and commercial licensing for its big graph technologies. For more information, please contact us at sales@systap.com or www.systap.com.