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DBMS > TigerGraph

TigerGraph System Properties

Please select another system to compare it with TigerGraph.

Our visitors often compare TigerGraph with Neo4j, Amazon Neptune and JanusGraph.

Editorial information provided by DB-Engines
NameTigerGraph
DescriptionA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#173  Overall
#13  Graph DBMS
Websitewww.tigergraph.com
Technical documentationwww.tigergraph.com/­documentation
Initial release2017
License infoCommercial or Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinux
Data schemeyes
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
SQL infoSupport of SQLSQL-like query language (GSQL)
APIs and other access methodsGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Java
Server-side scripts infoStored proceduresyes
Triggersno
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Foreign keys infoReferential integrityyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRole-based access control
More information provided by the system vendor
TigerGraph
Specific characteristics

TigerGraph is a native graph database, with massively parallel processing and fully ACID transactions making it the fastest and most scalable graph platform. 

Competitive advantages

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,  TigerGraph’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
  • Anti Money Laundering

  • Real-Time Fraud Detection

  • Customer 360

  • Real-Time Personalized Recommendation

  • Complex Graph-Based Analytics

  • Graph-Based Machine Learning and AI

  • Hybrid Transactional and Analytics Processing

  • Real-Time Monitoring and Control of Dynamic Networks

  • Internet of Things

  • Master Data Management

  • Knowledge Graph

Key customers

Visa, Uber, AliPay, SoftBank, Wish, China Mobile, State Grid of China, and Zillow

Market metrics

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

Developer & Enterprise Edition: https://www.tigergraph.com/download/

Pricing is available upon request from info@tigergraph.com

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
TigerGraph
Recent citations in the news

TigerGraph chosen as new graphDB by OpenCorporates -
13 February 2019, Enterprise Times

Data Management Experts Share Best Practices for Machine Learning
15 February 2019, Database Trends and Applications

TigerGraph Launches Cloud Database on AWS
27 November 2018, Datanami

TigerGraph review: A graph database designed for deep analytics
17 December 2018, InfoWorld

Introducing TigerGraph Cloud: the Fastest and Most Complete Graph Database-As-A-Service for Everyone
27 November 2018, GlobeNewswire

provided by Google News

Job opportunities

System Engineer
TigerGraph, Redwood City, CA

Sales Development Representative
TigerGraph, Redwood City, CA

Software Engineer
TigerGraph, Redwood City, CA

Manager Data Engineering
Time Warner, Seattle, WA

Manager Data Engineering
Time Warner, New York, NY

jobs by Indeed




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