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The 10 Hottest Database Startups Of 2020

Next-generation database companies are developing technologies to help businesses manage increasing volumes of data and increasingly complex data types.

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Top Executive: CEO Yu Xu

Headquarters: Redwood City, Calif.

TigerGraph has develop a distributed, scalable graph database that is gaining market traction. Graph databases are next-generation, NoSQL databases that are particularly effective for applications where the relationships between the data is as important as the data itself, such as social networking, fraud detection and recommendation engines.

Graph databases are designed to store and navigate data relationships, using “nodes” to store data entities and “edges” to store the joins or relationships between those entities. While traditional databases create such joins in response to queries, graph databases do this more quickly because the relationships are maintained or “persist” within the database, according to a definition on the AWS website.

TigerGraph began offering its TigerGraph Cloud database-as-a-service in September 2019 and in March of this year launched TigerGraph 3.0. The company raised $32 million in Series B funding in September 2019.

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