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Press

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TigerGraph review: A graph database designed for deep analytics

TigerGraph, a recent arrival, is a “real-time native parallel graph database.” TigerGraph is available for deployment in the cloud or on-premises, it scales both up and out, it automatically partitions a graph within a cluster, it’s ACID compliant, it has built-in data compression, and it claims to be faster than the competition. As we’ll see, it uses a message-passing architecture that is inherently parallel in a way that scales with the size of the data.

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2019 Trends in Machine Learning: Unclogging the Bottleneck

Graph mechanisms and visual approaches to managing data can empower organizations to access data at the scale required for credible machine learning inputs, facilitate feature selection, and assist with overall data quality measures important for this statistical branch of AI.

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Database trends and applications

Trend-Setting Products in Data and Information Management for 2019

TigerGraph—a fast graph analytics platform for the enterprise that offers new features that 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

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Database trends and applications

TigerGraph Unveils Latest Cloud Platform with Starter Kits for AI and Machine Learning

TigerGraph, a graph analytics platform for the enterprise, is introducing TigerGraph Cloud, a robust way to run scalable graph analytics in the cloud. Users can get their TigerGraph service up and running, tapping into TigerGraph’s library of customizable graph algorithms to support key use cases including AI and machine learning.

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TigerGraph opens up in Public Cloud

It is a company that is worth following, especially as it has the chance to grow even faster once the public cloud solution is available. This will open up its technology to a far wider audience that will look to leverage one of the fastest analytical platforms around.

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AWS re:Invent: Sumo Logic teams up with AWS, Software AG Cloud, TigerGraph Cloud and new PagerDuty integrations

Graph analytics platform provider TigerGraph also announced a new cloud at the conference. TigerGraph is meant to give users a cost effective way to run scalable graph analytics in the cloud.

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Ex-Twitter engineer wants to help businesses connect the database dots

The startup, which expects to double its workforce of 44 people by next year launched a cloud version of its subscription offering on Tuesday called TigerGraph Cloud. Since launching its first product in 2017, the company says its gross revenue has increased at an annual rate of 300 percent. TigerGraph is on track to generate more than $10 million in revenues in 2019.

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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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