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DBMS > IBM Db2 warehouse vs. OmniSci vs. Splice Machine

System Properties Comparison IBM Db2 warehouse vs. OmniSci vs. Splice Machine

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Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCloud-based data warehousing serviceA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.78
Rank#128  Overall
#63  Relational DBMS
Score1.23
Rank#157  Overall
#76  Relational DBMS
Score0.79
Rank#197  Overall
#97  Relational DBMS
Websitewww.ibm.com/­products/­db2-warehousewww.omnisci.comsplicemachine.com
Technical documentationdocs.omnisci.comdoc.splicemachine.com
DeveloperIBMMapD Technologies, Inc.Splice Machine
Initial release201420162014
Current release5.6, April 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAJava
Server operating systemshostedLinuxLinux
OS X
Solaris
Windows
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 infoImport/export of XML data possibleno
Secondary indexesyesnoyes
SQL infoSupport of SQLyesyesyes
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresPL/SQL, SQL PLnoyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
IBM Db2 warehouse infoformerly named IBM dashDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Splice Machine
News

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11 June 2021

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23 April 2021

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Splice Machine
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