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Press

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zdnet

Amazon re:Invent: Data partner news summary

At re:Invent yesterday, the company announced it’s making its product available in Database as a Service (DBaaS) form on AWS, as TigerGraph Cloud.

The company says that in addition to the service itself, TigerGraph Cloud includes “out-of-the-box starter kits for quicker application development – for use cases such as Anti-Fraud, Anti-Money Laundering (AML), Customer 360, Enterprise Graph analytics and more.”

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Datanami

TigerGraph Launches Cloud Database on AWS

The transition of graph databases to the cloud reflects growing demand for public cloud connections to a range of database platforms that has gained momentum over the last two years, beginning with managed NoSQL and relational databases.

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Introducing TigerGraph Cloud: A database as a service in the Cloud with AI and Machine Learning support

Today, TigerGraph, the world’s fastest graph analytics platform for the enterprise, introduced TigerGraph Cloud, the simplest, most robust and cost-effective way to run scalable graph analytics in the cloud.

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Silicon Angle

TigerGraph brings its graph database to the cloud

TigerGraph Inc. is bringing its graph database to the cloud in announcement being made today at Amazon Web Services Inc.’s re:Invent conference.

 

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

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Database trends and applications

TigerGraph Expands its Platform’s Availability on AWS and Azure

“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.”

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The Graph Database Poised to Pounce on the Mainstream

TigerGraph wants to be the graph database that companies choose when they are running up against scalability limits, and it will find itself in direct competition with the JanusGraph fork of Titan, which is backed by Google and IBM, and the DataStax fork as well. Neo4j is not going to sit still, either.

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Silicon Angle

With latest release of its graph engine, TigerGraph bids for database mainstream

TigerGraph Inc. aims to nudge its graph database closer to the mainstream market with enhancements announced today.

The new features include better integration with popular relational and NoSQL engines, support for software containers, one-click availability in Amazon Web Services Inc. and Microsoft Corp. Azure marketplaces and a new graph algorithm library.

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zdnet

Knowledge graphs beyond the hype: Getting knowledge in and out of graphs and databases

TigerGraph has added integration with popular databases and data storage systems including: RDBMS, Kafka, Amazon S3, HDFS, and Spark (coming soon). TigerGraph said a github repository will host open source connectors to TigerGraph as they roll out.

TigerGraph just announced a Neo4j Migration Toolkit, which is largely based on translating Cypher, Neo4j’s query language, to GSQL.

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TigerGraph updates its graph analytics platform

TigerGraph has announced the latest release of its graph analytics platform. This release offers integrations with popular databases and storage systems, Docker and Kubernetes support, availability on the AWS Marketplace and Microsoft Azure, and a new graph algorithm library.

In addition to the platform update, the company also released a Neo4j Migration Toolkit. The toolkit will enable developers to transform Cypher queries into GSQL.

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