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TigerGraph Expands its Platform’s Availability on AWS and Azure


TigerGraph, a graph analytics platform for the enterprise, is introducing its latest release that is designed to help enterprises harness the power of the fastest and most scalable graph analytics more easily than ever before.

New features include seamless integration with popular databases and storage systems, support for Docker and Kubernetes containers, availability on the Amazon Web Services Marketplace and Microsoft Azure, and a new graph algorithm library.

“Organizations already rely on TigerGraph to enable some of the worlds largest and most mission-critical use cases,” said Dr. Yu Xu, CEO and founder, TigerGraph. “This release makes it even easier for enterprises to connect TigerGraph to their existing infrastructure. It’s all part of our commitment of delivering the best graph engine on the market to power the applications that are paving the way of the future.”

TigerGraph enables organizations to accelerate their time to value to gain maximum insight from massive amounts of interconnected data at lightning speed.

New features include:

  • Frictionless integration with popular databases and data storage systems including: RDBMS, Kafka, Amazon S3, HDFS, and Spark (coming soon). A new TigerGraph EcoSys GitHub repository will now host open source connectors to TigerGraph as they roll out.
  • Expanded deployment options that enable users to implement a performant and scalable graph as they wish, in a cloud-neutral environment. TigerGraph supports one-click install for major cloud marketplaces - such as Amazon AWS Marketplace and Microsoft Azure - helping customers control where their data is stored to prevent cloud vendor lock-in. TigerGraph also offers new support for Docker and Kubernetes containers for easy portability across on-premise and cloud environments.
  • Graph algorithm library containing efficient GSQL implementations of popular graph analytics functions such as PageRank, Shortest Path, Connected Components and Community Detection. Leveraging TigerGraph’s MPP performance and the expressiveness of GSQL, TigerGraph is delivering its high-performance library as a user-extensible set of GSQL queries, the same queries used in its recent benchmark report.

TigerGraph offers a fast graph analytics platform that tackles the toughest data challenges in real time, no matter how large or complex the data set.

TigerGraph stores all data sources in a single, unified multiple-graph store that can scale up and out easily and efficiently to explore, discover and predict relationships.

For more information about these updates, visit www.tigergraph.com.


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