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  • 4.7 / 5.0 (6513)
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TigerGraph Testimonials

  • "With TigerGraph’s help, we can link consumer data up to four degrees of separation across multiple silos. TigerGraph’s architecture was the only one that supported our need for up to 1,000 requests per second during peak times, making our analysis faster and more accurate."

  • "Using TigerGraph, we have combined decades of customer data and over 50 different legacy systems to more accurately match customers with uniquely personalized content, product recommendations, and service offerings. We’ve been able to identify who is likely to purchase similar products based on previous purchases and similar customer characteristics."

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  • Neo4j
    Reference Rating
    4.7 / 5.0
    Customer References 431 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, …

  • Cognee
    Reference Rating
    4.7 / 5.0
    Customer References 4 total
    About

    cognee builds an OSS memory engine for AI apps and AI agents. The tool helps you create a GraphRAG and supports Vector Stores, Graph stores, and various LLM providers.

  • Linkurious
    Reference Rating
    4.8 / 5.0
    Customer References 28 total
    About

    Linkurious is a software company providing technical and non technical users alike with the next generation of enterprise-ready graph intelligence solutions. Simply powerful and powerfully simple, Linkurious’ technology helps more …

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