TigerGraph Launches Graph Database-as-a-Service on Azure

eWEEK NEWS FEATURE: Cloud service eliminates the need to set up, configure or manage servers, schedule backups or look for security vulnerabilities.


Redwood City, Calif.-based TigerGraph, which bills itself as “the only scalable graph database for the enterprise,” on July 16 launched a version of its cloud product, TigerGraph Cloud, for deployment on Microsoft Azure. This is in addition to TigerGraph’s current support for working in the Amazon Web Services (AWS) environment.

TigerGraph claims that this is the industry’s “first and only distributed native graph database-as-a-service.” The idea is to enable enterprises to build and run applications that work with highly connected and complex datasets, such as those used in real-time financial services, scientific research and high-end medical applications, such as mapping genomes.

TigerGraph recently released v3.0 of its graph database, which adds no-code advanced graph analytics into its core platform capabilities, so that line-of-business employees can use the database. Enterprises can use these tools to find new insights in their data through advanced graph analytics at scale.

Cloud Choice Always a Good Thing

The TigerGraph Cloud is especially relevant at this time of more remote workers; it enables teams to use the cloud vendor of their choice: AWS or Azure.

“Relational databases aren’t up to the task when it comes to analyzing interconnected data,” TigerGraph COO Todd Blaschka said in a media advisory. “Graph database and analytics is the way forward. Historically, organizations had to rely on data scientists to design their graph analytics solutions. That has changed with TigerGraph Cloud, which makes graph accessible to all. And now, TigerGraph Cloud’s support for Azure makes it the first multi-cloud graph database-as-a-service in the market.”

Graph databases are a key ingredient in the secret development sauce that makes mega-websites such as Facebook, Google, LinkedIn and others like them work so fast and accurately. A graph database uses graph structures for semantic queries with nodes, edges and properties to represent and store data. Everything in a graph database is connected to everything else, thus data is able to be summoned much faster than from a conventional structured database.

Other graph database providers in the market are Neo4J, Cassandra, ArangoDB, OrientDB, FlockDB, Titan, Amazon Neptune, IBM Graph, Apache Giraph and Azure Cosmos.

No Server Setup Needed

The company said TigerGraph Cloud allows users to get started in minutes, build a proof-of-concept model in hours and deploy a solution to production in days. It eliminates the need to set up, configure or manage servers, schedule backups or look for security vulnerabilities. Also, TigerGraph Cloud enables users to scale their graph solution up to tens of terabytes and support more than 100,000 real-time deep-link analytics queries per second on a single machine.

The newest version of TigerGraph Cloud includes configuration for distributed graphs and replica instances for high availability. Subscribers can provision distributed TigerGraph services for large production datasets and have the choice to deploy high availability TigerGraph services.

TigerGraph Cloud runs on the new TigerGraph Enterprise 2.5 platform, which features a Spark connector, pattern matching and more built-in data processing functions. Users can start for free, then expand across the cloud as their data expands. TigerGraph’s ability to do SQL-like database computation along with ACID-compliant transactions benefits users with a lower TCO compared to other platforms.

TigerGraph Cloud on Microsoft Azure is available now on the Azure Marketplace.

Chris Preimesberger

Chris J. Preimesberger

Chris J. Preimesberger is Editor-in-Chief of eWEEK and responsible for all the publication's coverage. In his 15 years and more than 4,000 articles at eWEEK, he has distinguished himself in reporting...