DBMS > TigerGraph
TigerGraph System Properties
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|Editorial information provided by DB-Engines|
|Description||A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time|
|Primary database model||Graph DBMS|
|License Commercial or Open Source||commercial|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||Linux|
|Typing predefined data types such as float or date||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|SQL Support of SQL||SQL-like query language (GSQL)|
|APIs and other access methods||GSQL (TigerGraph Query Language)|
RESTful HTTP/JSON API
|Supported programming languages||C++|
|Server-side scripts Stored procedures||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes|
|Foreign keys Referential integrity||yes Relationships in graphs|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||Role-based access control|
|More information provided by the system vendor|
TigerGraph is a native graph database, with massively parallel processing and fully ACID transactions making it the fastest and most scalable graph platform.
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel graph which can scale out as well as scale up. When both size and speed matter, TigerGraphâ€™s performance on multi-hop queries, bulk data loading and real-time updates is unmatched.
TigerGraph is also the only provider of MultiGraph, a service which provides multiple secure graph domains with one unified graph, allowing for advanced graph-based and role-based access control, along with real-time sharing.
Its query language GSQL is full-powered and easy to learn for SQL users.
|Typical application scenarios|
TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow, along with some of the world’s largest healthcare, entertainment and financial institutions. The company is headquartered in Redwood City, CA.
TigerGraph is 2x to more than 8000x faster at graph traversal and query response times compared to other graph databases tested, running on a single server. TigerGraph's advantage increases as the number of hops increases. Read our benchmark study which examines the data loading and query performance of TigerGraph, Neo4j, Amazon Neptune, JanusGraph, and ArangoDB. https://info.tigergraph.com/benchmark
|Licensing and pricing models|
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service.
On Prem also available. Download the Developer Edition - Run on Linux or in Docker
Related products and services
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|Recent citations in the news|
TigerGraph Named a 2020 “Cool Vendor” in Gartner's Cool Vendors in Data Management Report
Research on Graph Analytics Market (impact of COVID-19) 2020-2026: IBM, AWS, Oracle, Neo4j, TigerGraph
TigerGraph Enhances Its Graph Database and Analytics Solution
Gartner Names Four 2020 Cool Vendors in Data Management to Consider
TigerGraph Continues Product Innovation with Newest “Graph for All” Release
provided by Google News
Sales Development Representative
Sr Architecture Analyst
Director, Content Advanced Analytics - HBO Max
Software Engineer, Query Optimizer
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