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It’s Time to Harness the Power of Graph Technology [Infographic]

  • Julia Astashkina
  • January 25, 2023
  • blogs, Uncategorized
  • Blog >
  • It’s Time to Harness the Power of Graph Technology [Infographic]

It’s time for your enterprise to harness the power of graph technology. 

A graph database platform – like TigerGraph – stores your data in intuitive, connected patterns so that queries run in seconds, instead of hours or days. By harnessing the power of connected data, TigerGraph unlocks the full potential of your data for applications as wide-ranging as:

  • Fraud detection 
  • Customer 360
  • Supply chain analysis 
  • Artificial intelligence

Check out the full infographic  to discover how TigerGraph takes your enterprise data capabilities from good to great. 

Here’s a quick recap of the infographic above.

What Is TigerGraph?

TigerGraph is the only graph database that works on enterprise-scale datasets across diverse applications to give accurate, reliable results. 

In brief, TigerGraph:

  • Makes unprecedented data connections
  • Effortlessly scales massive datasets across multiple applications
  • Runs queries in seconds instead of days
  • Offers unmatched analytics intelligence

TigerGraph Cloud, a DBaaS offering, makes the difference between being innovative and just spending time managing your software.

Recognition from Leading Industry Analysts

In its recent report, Gartner named TigerGraph as a new entrant in the Magic Quadrant and highlighted several areas where TigerGraph performs well.

For the first time, TigerGraph was named as a Niche Player in the November 2022 Gartner Magic Quadrant™ for Cloud Database Management Systems.

Other high marks from Gartner for TigerGraph’s industry-leading technology include:

  • 4.5 stars for data science
  • 4.0 stars for
    • Distributed transactions
    • Multi-model support
    • Application development support
  • 3.8 stars for relational attributes
  • 3.5 stars for 
    • Data lake
    • Programming automated transactions
    • Analytics
    • Operational intelligence

Empowering Enterprise Capabilities

TigerGraph goes above and beyond supporting enterprise data capabilities, including:

  • Machine learning
  • Advanced graph analytics
  • Artificial intelligence

In turn, these capabilities help improve your enterprise use cases, such as:

  • Fraud detection
  • Anti-money laundering
  • Risk assessment and monitoring
  • And many more

The TigerGraph Difference

What makes TigerGraph different from other graph technologies? Here are the top three distinctions:

  1. High Performance
  • Based on distributed architecture and advanced MPP native graph engine
  • Fast data processing to unlock the value of connected data
  • Strong scalability for a modern data analytics stack
  1. Continuous Enhancement on Graph AI & ML
  • Built-in graph data science library and algorithms to support graph machine learning use cases
  1. An Ambitious Vision for Customers
  • Increased scalability
  • Real-time graph analytics for meaningful conversations with data
  • Cloud ecosystem integrations to get deeper data insights

Enterprises Love TigerGraph

How do today’s leading enterprises use TigerGraph to make a bottom-line difference within their organization? Here are just a few examples:

  • Intuit uses TigerGraph to reduce operating costs by 77%.
  • Xandr makes 1 billion updates daily to its TigerGraph database.
  • Amgen finds data inferences in 5 billion vertices stored in TigerGraph.

What could TigerGraph do for your enterprise team? Get started with TigerGraph Cloud and discover what’s possible with connected data.

 Sign Me Up for Free

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    Dr. Jay Yu

    Dr. Jay Yu | VP of Product and Innovation

    Dr. Jay Yu is the VP of Product and Innovation at TigerGraph, responsible for driving product strategy and roadmap, as well as fostering innovation in graph database engine and graph solutions. He is a proven hands-on full-stack innovator, strategic thinker, leader, and evangelist for new technology and product, with 25+ years of industry experience ranging from highly scalable distributed database engine company (Teradata), B2B e-commerce services startup, to consumer-facing financial applications company (Intuit). He received his PhD from the University of Wisconsin - Madison, where he specialized in large scale parallel database systems

    Todd Blaschka | COO

    Todd Blaschka is a veteran in the enterprise software industry. He is passionate about creating entirely new segments in data, analytics and AI, with the distinction of establishing graph analytics as a Gartner Top 10 Data & Analytics trend two years in a row. By fervently focusing on critical industry and customer challenges, the companies under Todd's leadership have delivered significant quantifiable results to the largest brands in the world through channel and solution sales approach. Prior to TigerGraph, Todd led go to market and customer experience functions at Clustrix (acquired by MariaDB), Dataguise and IBM.