UPDATED 09:00 EDT / DECEMBER 03 2019

54519223_490194294847164_4508428600835309568_o CLOUD

TigerGraph enhances its cloud-based graph database for AI workloads

Graph database startup TigerGraph Inc. is adding more features and functionality to the cloud-native version of its popular product.

Launched in September, TigerGraph Cloud is a cloud-hosted graph database-as-a-service.

Graph databases are a type of NoSQL database that represent data as connected objects rather than in rows and columns. Connections can be traversed quickly to find relationships that would be difficult or impossible to identify using conventional relational tables, making graph engines particularly good at applications such as recommendation engines and influencer analysis.

TigerGraph Cloud’s most distinguishing feature is its speed. The company claims that its service is hundreds of times faster than competing graph databases such as Amazon Web Services Inc.’s Neptune, capable of scaling up to handle tens of terabytes of data and more than 100,000 real-time deep-link analytics queries per second on a single machine.

Today’s updates are focused on improving artificial intelligence and machine learning workloads, and include configuration for distributed graphs and replica instances for high availability, plus the ability to leverage elastic file systems for backup and restore.

“To survive and thrive in today’s business world enterprises should accelerate their approach to AI and ML applications, both of which benefit from graph analytics, as this helps identify new patterns across the data sources, create new models and better algorithms, using data at scale,” said Todd Blaschka, chief operating officer at TigerGraph. “TigerGraph Cloud’s enhanced services provide subscribers with an even better platform for analytical and transactional processing.”

TigerGraph also announced more “starter kits” for TigerGraph Cloud. It said it’s adding neural networks, cybersecurity and payment fraud detection kits to its existing lineup, which includes customer 360, fraud detection, personalized real-time recommendation, influencer computation and supply chain analysis.

The company said the updates to TigerGraph Cloud will be made available on AWS by the end of the month. In addition the service will be made available on Microsoft Azure for the first time in the first quarter of next year, officials said.

Image: TigerGraph/Facebook

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