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  • 4.8 / 5.0 (2494)
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TigerGraph Testimonials

  • "We tried many Graph databases but none met our requirements because of slow loading speed or slow query performance. TigerGraph’s super fast data loading speed and real-time sub-second query performance on large datasets provides unparalleled performance advantages. It's a tool that really lets you tap into the full benefits of a graph analytics platform."

  • "Our flagship use case is the member(customer) journey. We have multiple businesses such as medical, dental, and life insurance. Each of these businesses has its own systems and data. This is the first time that all of this was brought together on one screen and that was transformational."

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  • Reference Rating
    4.7 / 5.0
    Customer References42 total
    About

    ArangoDB, Inc. is a U.S. based privately held company founded in Cologne in 2014 to meet the increasing demand for professional services around ArangoDB. ArangoDB can operate as a distributed & highly scalable database cluster. The company ArangoDB, Inc. contributes to the project with developer resources, db architects and developer support.

  • Reference Rating
    4.7 / 5.0
    Customer References123 total
    About

    Franz Inc. is an innovative technology company with expert knowledge in developing and deploying Knowledge Graph solutions. AllegroGraph, Franz's high-performance, transactional, and highly scalable Graph Database, provides the solid storage layer for powerful enterprise grade Knowledge Graph applications.

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    4.7 / 5.0
    Customer References431 total
    About

    Neo4j is an internet-scale, native graph database that leverages connected data to help companies build intelligent applications that meet today's evolving challenges, including machine learning and artificial intelligence, fraud detection, real-time recommendations and master data. As the #1 platform for connected data, Neo4j has over three million downloads, the world's largest graph developer community, and over thousands of graph-powered applications in production.

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