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DBMS > IBM Db2 warehouse vs. Riak TS vs. RocksDB vs. Splice Machine vs. Tkrzw

System Properties Comparison IBM Db2 warehouse vs. Riak TS vs. RocksDB vs. Splice Machine vs. Tkrzw

Editorial information provided by DB-Engines
NameIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonRiak TS  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionCloud-based data warehousing serviceRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.ibm.com/­products/­db2/­warehouserocksdb.orgsplicemachine.comdbmx.net/­tkrzw
Technical documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latestgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
DeveloperIBMOpen Source, formerly Basho TechnologiesFacebook, Inc.Splice MachineMikio Hirabayashi
Initial release20142015201320142020
Current release3.0.0, September 20229.2.1, May 20243.1, March 20210.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++JavaC++
Server operating systemshostedLinux
OS X
LinuxLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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 possiblenonono
Secondary indexesyesrestrictednoyes
SQL infoSupport of SQLyesyes, limitednoyesno
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresPL/SQL, SQL PLErlangnoyes infoJavano
Triggersyesyes infopre-commit hooks and post-commit hooksyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between datasets can be storednoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoAccess rights for users, groups and roles according to SQL-standardno

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More resources
IBM Db2 warehouse infoformerly named IBM dashDBRiak TSRocksDBSplice MachineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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