TigerGraph: $32 Million Funding Raised And Cloud Service Rolls Out

By Annie Baker ● Sep 30, 2019
  • TigerGraph, a company that builds scalable graph databases for the enterprise, announced it raised $32 million and rolled out the general availability of TigerGraph Cloud

TigerGraph — one of the only scalable graph databases for the enterprise — recently made several major announcements. The company announced the general availability of TigerGraph Cloud, which is the first native graph database-as-a-service. And the company also announced $32 million in Series B funding led by SIG. This investment will boost TigerGraph’s global expansion. And the TigerGraph Cloud is going to appeal to companies looking for a fast and easy way to harness the power of the graph in a market estimated to be more than $6 billion in 2022.

“Today’s vast amount of data, together with increasingly powerful processing capabilities enabled by the cloud, means it is now possible to ask complex questions across complex data, which is not always practical or even possible at scale using SQL queries,” said TigerGraph CEO and founder Yu Xu. “The funding will fuel a new wave of growth and expansion for TigerGraph to make deep link analysis accessible to virtually every organization in the world and help users unleash the power of interconnected data.”

The TigerGraph Cloud is disrupting the graph database and analytics landscape. The problem with relational databases is that they cannot analyze interconnected data, which hampers the development of next-generation applications for healthcare, pharmaceutical, financial services, technology, manufacturing, and government.

And graph database and analytics are the way forward. The ability for organizations to design their own solutions for graph-based data analysis has been limited to specialists such as data scientists, developers, and architects while business users are shut out due to the complexity of many graph database and analytics offerings.

The TigerGraph Cloud solves this issue with an easy-to-use and cloud-based graph database-as-a-service built for agile teams that would rather be building innovative apps than configuring and managing databases. In only 5 minutes and by following 3 easy steps, TigerGraph Cloud users can get started configuring a graph-based solution.

“Accenture is developing Knowledge Graphs to drive actionable data intelligence for our enterprise clients across industries. TigerGraph offers real-time analytics capability, scalability and high-performance to enhance the trust in their data and meet business KPIs,” added Accenture’s Innovation Lead in the Data Business Group Harsh W. Sharma, Ph.D.

They are able to build a complete proof of concept in mere hours from one of more than 12 TigerGraph Starter Kits that cover real-world use cases such as customer 360, fraud detection, personalized real-time recommendation, hub or influencer computation, and supply chain analysis that are often the basis for artificial intelligence and machine learning applications.

“At Kickdynamic, we know that compelling, individualized experiences are the most effective way to create customer loyalty and drive revenue. Having tried various other solutions, we found that TigerGraph offered the best combination of performance and advanced, real-time, analytical capabilities. TigerGraph’s scalable graph database will enhance our platform and enable us to continue to achieve our vision of delivering advanced personalization in email,” added Kickdynamic Chief Product Officer Gabriele Corti.

With this announcement, TigerGraph is also releasing a free tier of TigerGraph Cloud that enables data scientists, developers, business analysts, students, and other enthusiasts to experience this technology’s unique power to handle real-world data challenges.TigerGraph Cloud is the culmination of TigerGraph’s years of experience delivering and managing clusters on the cloud including the convenience of a pay-as-you-go model.

The TigerGraph Cloud provides users with the ideal cloud-based service to model, search, and traverse relationships for analytic, transactional, and real-time workloads. And simple SQL-like querying and scalability to find patterns, make predictions, perform real-time transactions, and gain new insights will now be accessible to everyone. Plus TigerGraph Cloud users can 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.