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DBMS > OmniSci vs. TigerGraph

System Properties Comparison OmniSci vs. TigerGraph

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Editorial information provided by DB-Engines
NameOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsA 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
Score2.08
Rank#113  Overall
#55  Relational DBMS
Score0.87
Rank#165  Overall
#13  Graph DBMS
Websitewww.omnisci.comwww.tigergraph.com
Technical documentationdocs.omnisci.com/­latestdocs.tigergraph.com
DeveloperMapD Technologies, Inc.
Initial release20162017
Current releaseV4
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial
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++ and CUDAC++
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 indexesno
SQL infoSupport of SQLyesSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes 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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TigerGraph
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 customersTigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsNEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
OmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TigerGraph
Recent citations in the news

GPU Database Market – Major Technology Giants in Buzz Again | Kinetica, Omnisci, Sqream
21 February 2020, News Times

Lucrative Opportunities in GPU Database Market 2027 - Emerging
24 January 2020, openPR

OmniSci 'Hitting Its Stride,' CEO Says
25 October 2019, Datanami

Inside OmniSci's Plans for Data Analytics Convergence
23 October 2019, Datanami

Global GPU Database Market 2025| By Top Key Players Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz,Jedox, HeteroDB and others
9 February 2020, Global Newspaper 24

provided by Google News

Virtual Roundtable Feb. 5: Updating Health Care, Pharma IT with Graph Database, Analytics
3 February 2020, eWeek

TigerGraph raises $32 million for graph database tools
25 September 2019, VentureBeat

TigerGraph launches graph database as a service
2 October 2019, InfoWorld

TigerGraph Improves Its Graph Database-As-A-Service With Enhanced Performance And More Robustness
3 December 2019, GlobeNewswire

TigerGraph Improves Graph Database As A Service
9 January 2020, iProgrammer

provided by Google News

Job opportunities

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TigerGraph, Redwood City, CA

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rMark Bio, Chicago, IL

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