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DBMS > GridGain vs. Hypertable vs. Kinetica vs. OmniSci

System Properties Comparison GridGain vs. Hypertable vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn open source BigTable implementation based on distributed file systems such as HadoopGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelKey-value store
Relational DBMS
Wide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.61
Rank#117  Overall
#20  Key-value stores
#60  Relational DBMS
Score0.54
Rank#194  Overall
#96  Relational DBMS
Score1.80
Rank#109  Overall
#54  Relational DBMS
Websitewww.gridgain.comwww.kinetica.comwww.omnisci.com
Technical documentationdocs.gridgain.com/­docswww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperGridGain Systems, Inc.Hypertable Inc.KineticaMapD Technologies, Inc.
Initial release2007200920122016
Current releaseGridGain 8.5.10.9.8.11, March 20166.0V4
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++C, C++C++ and CUDA
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statementsyes
APIs and other access methodsHDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
C++ API
Thrift
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functionsno
Triggersyes (cache interceptors and events)noyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor on file system levelMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlSecurity Hooks for custom implementationsnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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

GridGain Systems Named to Inc. 5000 List of America’s Fastest-Growing Private Companies for Third Consecutive Year
28 August 2019, Yahoo Finance

GridGain Experts Explain In-Memory Computing Technology and Benefits, Provide Deployment Insights at Multiple Industry Events
10 September 2019, GlobeNewswire

GridGain Announces New Data Lake Accelerator
22 August 2019, RTInsights

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18 September 2019, NewsStoner

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GPU Database Market Globally Expected to Drive Growth through 2026| Major Companies- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb – Indian Columnist
17 September 2019, Indian Columnist

GPU Database Market Growth, Key Futuristic Trends And Competitive Landscape 2019-2025- Omnisci, Kinetica, Sqream
16 September 2019, Market Segment

Global GPU Database Market Revenue Strategy 2019-2024 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
21 August 2019, Tribune City

GPU Database Market Estimated to Rising at a Lucrative CAGR of +20% between 2019 and 2028 with Leading Vendors: Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
30 August 2019, Technology News

Greatest Progress in GPU Database Market to Access Global Industry Players like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
3 September 2019, Market Research Report

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GPU Database Market Growth, Key Futuristic Trends And Competitive Landscape 2019-2025- Omnisci, Kinetica, Sqream
16 September 2019, Market Segment

Global GPU Database Market Revenue Strategy 2019-2024 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
21 August 2019, Tribune City

GPU Database Market 2019 explosive growth with technical aspects by major players BlazingDB, Anaconda, OmniSci, Blazegraph, Fuzzy Logix, NVIDIA, Zilliz, Brytlyt, HeteroDB, SQream
12 September 2019, Tribune City

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

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