UPDATED 09:00 EDT / OCTOBER 05 2021

BIG DATA

TigerGraph boosts availability and scalability with enterprise-focused updates

Graph database company TigerGraph Inc. today announced a major update to its platform that brings dozens of new enterprise-grade features around availability, scalability, manageability and security.

The 3.2 release is intended to give organizations the confidence they need for their mission-critical applications. It also adds key features on the developer and data science side that will enable organizations to build far more capable applications based on the platform, the company said.

Graph databases such as TigerGraph are a special kind of database that represent information as connected objects rather than rows and columns. Connections can be traversed quickly to find relationships that would be difficult or impossible to identify using conventional relational tables.

The technology is particularly well-suited for applications that involve navigating complex interrelationships among elements. A graph database can, for example, efficiently analyze the relationships between the hardware components of a carrier network to identify performance bottlenecks. They can also power a wide range of applications in other areas, from recommendation engines to healthcare analytics systems.

Not surprisingly, enterprises are very interested in the potential of graph databases, but concerns around their manageability, scalability and security have so far held back mass adoption.

The TigerGraph 3.2 is aimed at changing that by making the platform much more reliable and easier to mange. For instance, today’s release adds business continuity support through cross-region replication of TigerGraph clusters for the first time. What this means is that TigerGraph clusters can be replicated in more than one geographic cloud region, ensuring they will remain up and running in the event that one cluster fails.

The release also adds built-in Kubernetes support to enable easier management of cloud clusters, as well as cluster resizing features and direct control over resource allocation for big queries. On the security side, TigerGraph gets user-defined role access capabilities, and in terms of scalability, the company said it has for the first time demonstrated its scale via the 36-terabyte LDBC-SNB BI benchmark, with more than 70 billion nodes across 500 billion edges.

The enterprise features are just one focus of today’s update. In addition, the company has worked to improve the developer experience to make it easier and faster to build applications powered by TigerGraph. New features around accessibility compliance, query language enhancement and query build performance speedup all combine to create a more productive developer experience, the company said.

TigerGraph 3.2 also continues to push the boundaries of data science with new features that can be leveraged to create faster and more powerful applications. These include more advanced machine learning capabilities within the TigerGraph In-Database Graph Data Science Library. Data scientists will be able to access twice as many built-in graph algorithms as before, including new graph embedding algorithms such as Node2Vec and FastRP.

Doug Henschen, an analyst with Constellation Research Inc., told SiliconANGLE that TigerGraph is an industry leader in terms of bringing data science capabilities to the world of graph analysis, though up until now it has always done so in a very practical way.

“Rather than just adding generic, general-purpose data science capabilities, TigerGraph has gauged the needs of its customers and gone after specific use cases, including fraud detection, anti-money laundering, identity resolution and recommendation engines,” he said. “That simplifies the development of high-scale graph use cases within specific industries including financial services, telecommunications, healthcare, manufacturing and retail.”

The company said the new features announced today are just a taste of things to come. It’s promising to add new capabilities around GraphQL Data API, Visual Query Builder and Graph Solution Toolkit in a future release.

TigerGraph 3.2 is available to download starting today. Detailed release notes are available here.

Images: TigerGraph

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