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business insider

BRIEF: TigerGraph Emerges With $31M in Series A funding

TigerGraph emerges with $31 mln in Series A funding, introduces real-time graph platform

TigerGraph – ‍series A funding with investors including Qiming VC, Baidu, Ant Financial, AME Cloud, Morado Ventures, Zod Nazem, Danhua Capital, DCVC

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pe-hub network

TigerGraph nabs $31 mln Series A

TigerGraph today made announcements including its emergence from stealth, securing of $31M in Series A funding, general availability of TigerGraph – the world’s first and only native parallel graph database platform for enterprise applications, and availability of both its Cloud Service and GraphStudio, TigerGraph’s visual software development kit (SDK). TigerGraph’s Native Parallel Graph Technology (NPG) powers real-time deep link analytics for enterprises with complex and colossal amounts of data.

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thenewstack

The NewStack: Introducing TigerGraph, a Native Parallel Graph Database

While graph technology offers clear competitive advantages, these current solutions are not without their limitations. The most critical of which is the inability to support real-time analytics — a sore point given that enterprise data is always growing and becoming more complex. This is because solutions thus far have been either storage or compute-focused, feature-limited analytics capabilities and are unable to update graphs in real time.
As the world’s first Native Parallel Graph (NPG) database, TigerGraph sets out to solve these challenges. Unlike other technologies, the TigerGraph NPG focuses on both storage and computation, supporting real-time graph updates and offering built-in parallel computation. NPGs represent what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time.

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dzone

What Are the Keys to a Successful Database Strategy?

There are so many different databases available for applications and verticals. Make sure you have the right database for optimal performance.

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