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691 days

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About the role

TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning.
Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI, and machine learning:
  • Seven out of the top ten global banks use TigerGraph for real-time fraud detection.
  • Over 50 million patients receive care path recommendations to assist them on their wellness journey.
  • 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph.
  • TigerGraph reduces power outages by optimizing the energy infrastructure for 1 billion people.

Join the graph and analytics revolution!

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Aplyr's read

Tigergraph is a graph database company attracting tech-savvy professionals interested in big data analytics and complex problem-solving.

Synthesized from recent postings & public sources

What's promising

  • Tigergraph's graph database technology is cutting-edge, addressing complex data relationship challenges.
  • The company is backed by significant venture capital, indicating strong investor confidence.
  • Tigergraph's solutions are used by major enterprises, demonstrating market validation and demand.

What to watch

  • The graph database market is niche, potentially limiting broader industry applicability.
  • High competition from established players like Neo4j could impact market share.
  • Limited public information about company culture and employee satisfaction.

Why Tigergraph

  • Tigergraph offers real-time graph analytics, setting it apart from traditional databases.
  • The platform's scalability is designed for handling massive datasets efficiently.
  • Tigergraph's focus on complex data relationships appeals to industries like finance and healthcare.

Aplyr’s read is generated by AI from public sources. Was it useful?

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