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DBMS > Kinetica vs. OmniSci vs. VoltDB

System Properties Comparison Kinetica vs. OmniSci vs. VoltDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Score2.25
Rank#107  Overall
#55  Relational DBMS
Websitewww.kinetica.comwww.omnisci.comwww.voltdb.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestdocs.voltdb.com
DeveloperKineticaMapD Technologies, Inc.VoltDB Inc.
Initial release201220162010
Current release6.0V48.4, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++ and CUDAJava, C++
Server operating systemsLinuxLinuxLinux
OS X infofor development
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Java API
RESTful HTTP/JSON API
JDBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoJava
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replicationMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
22 April 2019, Market Reports

Field Report: GPU Technology Conference 2019 #GTC19
4 April 2019, insideBIGDATA

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

Factory Mutual Insurance Company Trimmed Nvidia (NVDA) Position By $3.10 Million; Bluefin Trading Has Lowered Microsoft (MSFT) Position
24 April 2019, CryptoCoinsTribune

Kinetica Could Boost Nvidia In $70B Big Data Market
12 October 2018, Forbes

provided by Google News

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

OmniSci Hires Laura Craig as Vice President of Sales, Americas
23 April 2019, PRNewswire

GPU Database Market to Witness Robust Expansion by 2025 | Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
22 April 2019, Market Reports

OmniSci, formerly MapD, gets $55 million in series C funding
4 October 2018, Packt Hub

Graphics Processing Unit Database Market Growing Demand and Trends 2019 to 2028
11 April 2019, The Smart CMS

provided by Google News

VoltDB Introduces Smart Streaming Architecture for the Connected World
11 April 2019, PRNewswire

VoltDB Intros New Architecture to Drive Better Monetization of Real-time Data
16 April 2019, The Fast Mode

In-Memory Database Market: Overview and Forecast Application | 2019-2025 : Microsoft, IBM, Oracle, SAP, Teradata, Amazon Web Services, Tableau Software, Kognitio, VoltDB, Datastax, Enea Ab, Mcobject, Altibase, Starcounter
24 April 2019, Market Research Updates

Global In-memory OLAP Database Market CAGR Shows Signs of Growth By 2028
1 April 2019, tcbresistencias.com

In-Memory Database Market 2019- A Proficient and In-Depth Study on Market Size, Growth, Share, Trends, As Well As Industry Analysis till 2023
11 April 2019, The Akis Express

provided by Google News

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