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DBMS > Datomic vs. Hypertable vs. Riak KV vs. STSdb

System Properties Comparison Datomic vs. Hypertable vs. Riak KV vs. STSdb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopDistributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSWide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.datomic.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCognitectHypertable Inc.OpenSource, formerly Basho TechnologiesSTS Soft SC
Initial release2012200920092011
Current release1.0.7075, December 20230.9.8.11, March 20163.2.0, December 20224.0.8, September 2015
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++ErlangC#
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes infoprimitive types and user defined types (classes)
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 indexesyesrestricted infoonly exact value or prefix value scansrestrictedno
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
HTTP API
Native Erlang Interface
.NET Client API
Supported programming languagesClojure
Java
C++
Java
Perl
PHP
Python
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#
Java
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoErlangno
TriggersBy using transaction functionsnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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)yesyesyes
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 development
User concepts infoAccess controlnonoyes, using Riak Securityno

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More resources
DatomicHypertableRiak KVSTSdb
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