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.

ArangoDB
ArangoDB
Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets.
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Neo4j
Neo4j
Neo4j’s graph data platform is purpose-built to leverage not only data but also data relationships. Using Neo4j, developers build intelligent applications that traverse today's large, interconnected datasets in real time. Powered by a native graph storage and processing engine, Neo4j’s graph database delivers an intuitive, flexible and secure database for unique, actionable insights.
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Objectivity/DB
Objectivity/DB
(1 Rating)
Objectivity/DB is a massively scalable, high performance, distributed Object Database (ODBMS). It is extremely good at handling complex data, where there are many types of connections between objects and many variants. Objectivity/DB can also serve as a massively scalable, high performance graph database. Its DO query language supports standard data retrieval queries as well as high-performance path-based navigational queries. Objectivity/DB is a distributed database, presenting a Single Logical View of its managed data. Data can be hosted on a single machine or distributed across up to 65,000 machines. Connected items can span machines. Objectivity/DB runs on 32 or 64-bit processors running Windows, Linux, and Mac OS X. APIs include: C++, C#, Java and Python. All platform and language combinations are interoperable. For example, objects stored by a program using C++ on Linux can be read by a C# program on Windows and a Java program on Mac OS X.
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AnzoGraph DB
AnzoGraph DB
With a huge collection of analytical features, AnzoGraph DB can enhance your analytical framework. Watch this video to learn how AnzoGraph DB is a Massively Parallel Processing (MPP) native graph database that is built for data harmonization and analytics. Horizontally scalable graph database built for online analytics and data harmonization. Take on data harmonization and linked data challenges with AnzoGraph DB, a market-leading analytical graph database. AnzoGraph DB provides industrialized online performance for enterprise-scale graph applications. AnzoGraph DB uses familiar SPARQL*/OWL for semantic graphs but also supports Labeled Property Graphs (LPGs). Access to many analytical, machine learning and data science capabilities help you achieve new insights, delivered at unparalleled speed and scale. Use context and relationships between data as first-class citizens in your analysis. Ultra-fast data loading and analytical queries.
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Integrations

See 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
More Reviews Write a Review

Company Information

TigerGraph
United States
www.tigergraph.com

Videos and Screen Captures

Play Video TigerGraph Screenshot 1 TigerGraph Screenshot 2
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Product Details

Platforms Supported
SaaS

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 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.

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