With the general release of TigerGraph Cloud on Wednesday, TigerGraph introduced its first native Graph database as a service.
In addition, the vendor announced that it secured $32 million in Series B funding, led by SIG.
TigerGraph, founded in 2012 and based in Redwood City, Ca., is a native Graph database vendor whose products, first released in 2016, enable users to manage and access their data in different ways than traditional relational databases.
Graph databases simplify the connection of data points and enable them to simultaneously connect with more than one other data point. Among the benefits are the ability to significantly speed up the process of developing data into insights and to quickly pull data from disparate sources.
Before the release of TigerGraph Cloud, TigerGraph customers were able to take advantage of the power of graph databases, but they were largely on-premises users, and they had to do their own upgrades and oversee the management of the database themselves.
"The cloud makes life easier for everyone," said Yu Xu, CEO of TigerGraph. "The cloud is the future, and more than half of database growth is coming from the cloud. Customers asked for this. We've been running [TigerGraph Cloud] in a preview for a while -- we've gotten a lot of feedback from customers -- and we're big on the cloud. [Beta] customers have been using us in their own cloud."
Regarding the servicing of the databases, Xu added: "Now we take over this control, now we host it, we manage it, we take care of the upgrades, we take care of the running operations. It's the same database, but it's an easy-to-use, fully SaaS model for our customers."
In addition to providing graph database management as a service and enabling users to move their data management to the cloud, TigerGraph Cloud provides customers an easy entry into graph-based data analysis.
Some of the most well-known companies in the world, at their core, are built on graph databases.
Google, Facebook, LinkedIn and Twitter are all built on graph technology. Those vendors, however, have vast teams of software developers to build their own graph databases and teams of data scientists do their own graph-based data analysis, noted TigerGraph chief operating officer Todd Blaschka.
"That is where TigerGraph Cloud fits in," Blaschka said.
