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DBMS > Kinetica vs. TigerGraph

System Properties Comparison Kinetica vs. TigerGraph

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Our visitors often compare Kinetica and TigerGraph with Snowflake, Neo4j and MongoDB.

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#195  Overall
#97  Relational DBMS
Score1.50
Rank#137  Overall
#11  Graph DBMS
Websitewww.kinetica.comwww.tigergraph.com
Technical documentationwww.kinetica.com/­docsdocs.tigergraph.com
DeveloperKinetica
Initial release20122017
Current release6.0
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemsLinuxLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelRole-based access control
More information provided by the system vendor
KineticaTigerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersFour out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metricsANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsTry TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

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Recent citations in the news

GPU Database Market Research Report 2027 : Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
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GPU Database Market Size 2021, Global Growth Rate by Manufacturers – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, OmniSci, Brytlyt, NVIDIA, Blazegraph, Jedox, Neo4j, HeteroDB, Fuzzy Logix, Anaconda – The Bisouv Network
5 March 2021, The Bisouv Network

Global GPU Database Market Analysis By Growth and Forecast 2025: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda etc.
2 March 2021, NY Market Reports

GPU Database Market 2021 Global Trends, Demand, Segmentation,COVID-19 Analysis and Opportunities Forecast To 2028 – NeighborWebSJ
7 March 2021, NeighborWebSJ

GPU Database Market 2021 Global Industry Trends, Vehicle Type, Service Provider, Development Factors, Growth, Future Prospects, Challenges, Economic Aspect & Forecast 2026 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA – The Bisouv Network
4 March 2021, The Bisouv Network

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TigerGraph raises $105M Series C for its enterprise graph database
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Graph + AI Summit 2021, Industry's Only Open Conference For Accelerating Analytics and AI With Graph, Returns in April
3 March 2021, GlobeNewswire

Data analytics firm TigerGraph to open Singapore office
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