Audience

Enterprise businesses looking for a complete Graph Database solution

About TigerGraph

Through its Native Parallel Graph™ technology, the TigerGraph™ graph platform represents what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. Combining the best ideas (MapReduce, Massively Parallel Processing, and fast data compression/decompression) with fresh development, TigerGraph delivers what you’ve been waiting for: the speed, scalability, and deep exploration/querying capability to extract more business value from your data.

Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Company Information

TigerGraph
United States
www.tigergraph.com

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud

TigerGraph Frequently Asked Questions

Q: What kinds of users and organization types does TigerGraph work with?
Q: What languages does TigerGraph support in their product?
Q: What other applications or services does TigerGraph integrate with?

TigerGraph Product Features

Database

Monitoring
Creation / Development
Data Migration
Data Search
Data Replication
Performance Analysis
Virtualization
Queries
Relational Interface
Backup and Recovery
Database Conversion
Mobile Access
NOSQL
Data Security

TigerGraph Verified User Reviews

Write a Review
  • A TigerGraph User
    Python Developer
    Used the software for: 2+ Years
    Frequency of Use: Daily
    User Role: User, Administrator
    Company Size: 100 - 499
    Design
    Ease
    Features
    Pricing
    Support
    Probability You Would Recommend?
    1 2 3 4 5 6 7 8 9 10

    "Native and Parellel indeed!"

    Edited 2021-03-02

    Pros: The response time of a query is RealTime and the GSQL as a language is easy to learn.And there is a lot of data loaders like Kafka, CSV, Node Red and many other connectors.

    And did i mention that TigerGraph is the Graph db Leader.

    Cons: - Fast
    - Light
    - Extensible
    - Scalable
    - ML AI
    - AML

    Overall: I am a user and a developer of this Graph DB technology, GSQL, and satisfied about the outcome so far and excited for future enhancements.

    Read More...
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