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DBMS > Datomic vs. IBM Db2 warehouse vs. Riak KV vs. RocksDB vs. Valentina Server

System Properties Comparison Datomic vs. IBM Db2 warehouse vs. Riak KV vs. RocksDB vs. Valentina Server

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonRiak KV  Xexclude from comparisonRocksDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-based data warehousing serviceDistributed, fault tolerant key-value storeEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Object-relational database and reports server
Primary database modelRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score1.26
Rank#162  Overall
#73  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitewww.datomic.comwww.ibm.com/­products/­db2/­warehouserocksdb.orgwww.valentina-db.net
Technical documentationdocs.datomic.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestgithub.com/­facebook/­rocksdb/­wikivalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCognitectIBMOpenSource, formerly Basho TechnologiesFacebook, Inc.Paradigma Software
Initial release20122014200920131999
Current release1.0.7180, July 20243.2.0, December 20229.4.0, June 20245.7.5
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureErlangC++
Server operating systemsAll OS with a Java VMhostedLinux
OS X
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 infoImport/export of XML data possiblenono
Secondary indexesyesyesrestrictednoyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
C++ API
Java API
ODBC
Supported programming languagesClojure
Java
Java
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoTransaction FunctionsPL/SQL, SQL PLErlangnoyes
TriggersBy using transaction functionsyesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storednoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, using Riak Securitynofine grained access rights according to SQL-standard

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More resources
DatomicIBM Db2 warehouse infoformerly named IBM dashDBRiak KVRocksDBValentina Server
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