Introducing The Latest Release Of TigerGraph: Fastest Performance For Graph Analytics

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A new press release reports, “TigerGraph, the world’s fastest graph analytics platform for the enterprise, today introduces its latest release, 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. TigerGraph additionally unveiled its eBook, ‘Native Parallel Graph: The Next Generation of Graph Database for Real-Time Deep Link Analytics’.”

The release continues, “TigerGraph enables organizations to accelerate their time to value to gain maximum insight from massive amounts of interconnected data at lightning speed. With accelerated scale out capability and TigerGraph’s novel MPP implementation, TigerGraph provides the perfect fit for organizations to quickly adapt to the data needs of the future. Key new TigerGraph features include: (1) 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… (2) 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.”


Photo credit: TigerGraph

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