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DBMS > eXtremeDB vs. Kinetica vs. OmniSci

System Properties Comparison eXtremeDB vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringGPU-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 modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.43
Rank#212  Overall
#103  Relational DBMS
#10  Time Series DBMS
Score0.56
Rank#195  Overall
#97  Relational DBMS
Score2.56
Rank#98  Overall
#50  Relational DBMS
Websitewww.mcobject.com/­extremedbfamilywww.kinetica.comwww.omnisci.com
Technical documentationwww.mcobject.com/­docs/­eXtremeDB.htmwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperMcObjectKineticaMapD Technologies, Inc.
Initial release200120122016
Current release8.0, May 20186.0V4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C, C++C++ and CUDA
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
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.no infosupport of XML interfaces availablenono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyes infoby defining eventsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby means of eXtremeDB Cluster option
Master-slave replication infoby means of eXtremeDB High Availability option
Master-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes
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 controlAccess rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
eXtremeDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

Unique Active Replication Fabric feature announced by McObject for its eXtremeDB IoT SDK bundle
13 May 2019, GlobeNewswire

McObject wins IoT Vendor of the Year
6 December 2018, GlobeNewswire

New Update Speeds eXtremeDB Financial Edition for HPC
11 May 2018, insideHPC

DBMS Simplifies IoT Connectivity
5 June 2019, IoT For All

McObject's new eXtremeDB Financial Edition for HPC offers excellent performance and a host of new features
9 May 2018, GlobeNewswire

provided by Google News

Kinetica Brings on Strategic Asia-Pacific Leadership in Response to Strong Market Demand
25 June 2019, Business Wire

Kinetica Appoints Stuart Fisher as President of Asia Pacific
28 June 2019, MarTech Advisor

GPU analytics speeds up deep learning, other data insights
12 July 2019, TechTarget

Sales Revenue in the Global GPU Database Market to Register a Stellar CAGR During 2026
17 July 2019, Financial Planning

GPU Database Market Graceful for an Touchy Development in the Near Future
15 July 2019, Market Reports

provided by Google News

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

GPU Database Market Graceful for an Touchy Development in the Near Future
15 July 2019, Market Reports

GPU analytics speeds up deep learning, other data insights
12 July 2019, TechTarget

Sales Revenue in the Global GPU Database Market to Register a Stellar CAGR During 2026
17 July 2019, Financial Planning

+20% CAGR Achieved by GPU Database Market over Period 2019- 2026 with Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
25 June 2019, thewirenewsnow.com

provided by Google News

Job opportunities

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Senior Backend Test Engineer
OmniSci, San Francisco, CA

Sales Director - Department of Defense
OmniSci, Washington, DC

Engineering Manager - Backend Core Team
OmniSci, San Francisco, CA

jobs by Indeed




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