Record Funding for Graph Database Category, Led by Tiger Global, Signals the Next Wave in Analytics to Fuel Powerful Insights for Artificial Intelligence
SINGAPORE, Feb. 22, 2021 (GLOBE NEWSWIRE) — TigerGraph, provider of the leading graph analytics platform, today announced it has raised $105 million in Series C funding, the largest funding round to date within the graph database and analytics market. The round was led by Tiger Global and brings TigerGraph’s total funding raised to over $170 million. TigerGraph already has a presence in China and is opening offices in Singapore and in Indonesia.
“The Asia Pacific digital economy continues to grow, and we are seeing increased regional demand. To tap this potential and to better serve our customers in the region, we will be opening offices in Singapore and in Indonesia. TigerGraph’s initiatives in Asia will be led by Joseph (Joe) Lee, an enterprise software sales and business veteran, as Vice President, Asia Pacific and Japan. We are expanding at the speed of business and are actively hiring for key positions in Asia,” said Todd Blaschka, COO, TigerGraph.
“Our mission is to help governments, businesses and people to unlock the power of their data and drive actionable, real-time insights-driven decision-making. TigerGraph already works with the top four largest banks in Asia helping these customers across areas such as Real-time Fraud Detection, Anti-Money Laundering, Credit Risk Assessment, and Customer 360 Analysis. We also work with key telcos in the region, enabling them to analyse customer behaviour and prevent fraud,” he added.
The investment reflects TigerGraph’s growth and the massive potential as businesses continue to move to the cloud. With the transactional and analytical workloads moving to the cloud made possible by companies like Snowflake, Confluent, and Databricks, TigerGraph is quickly becoming the graph database of choice to connect, analyze and learn new insights from the data. With its distributed native graph architecture, TigerGraph helps organizations scale fast, analyze many different aspects of data to be used with each other to form new models and generate new insights. These new patterns and insights enhance a company’s analytics or machine learning capabilities and can be deployed anywhere with multi-cloud flexibility and support the data security requirements for regulatory compliance.
Over the last 12 months with the COVID-19 pandemic, companies have embraced digital transformation at a faster pace driving an urgent need to find new insights about their customers, products, services, and suppliers. Graph technology connects these domains from the relational databases, offering the opportunity to shrink development cycles for data preparation, improve data quality, identify new insights such as similarity patterns to deliver the next best action recommendation. Data-driven solutions require intelligent apps and connected data that leverage powerful graph engines to connect, analyze and learn from the data companies are storing in the cloud. These events helped TigerGraph experience massive growth, more than doubling revenues and customers over the past year. It has also continued building a very active and fast-growing developer community, receiving the highest markets in a recent analyst report — TigerGraph was named a leader for Graph Data Platforms in the analyst report.
“By 2023, graph technologies will facilitate rapid contextualization for decision making in 30 percent of organizations worldwide,” according to Gartner.¹ Mark Beyer, Distinguished VP Analyst with Gartner shared the following in a Gartner report regarding the adoption of graph technology in the enterprises, “To Graph or Not to Graph? That Is Not the Question — You Will Graph.”² Organizations of all sizes are adopting Graph-based analytics and AI by leveraging the relationships in the connected data to drive better outcomes. TigerGraph is galvanizing the graph and AI community, organizing the first open industry Graph + AI Conference featuring presentations by innovators including UnitedHealth Group, Jaguar Land Rover, Intuit, Intel, Xilinx and Accenture. TigerGraph is deeply involved and on the steering committee for the development of the Graph Query Language standard, GQL along with other database vendors such as Oracle and Neo4j, and will enthusiastically support the GQL standard immediately upon finalization.
“For over 40…
Read More: TigerGraph Raises $105 Million to Accelerate Graph Analytics on the Cloud
