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DBMS > Datomic vs. Kinetica vs. Spark SQL vs. Splunk vs. STSdb

System Properties Comparison Datomic vs. Kinetica vs. Spark SQL vs. Splunk vs. STSdb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKinetica  Xexclude from comparisonSpark SQL  Xexclude from comparisonSplunk  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFully vectorized database across both GPUs and CPUsSpark SQL is a component on top of 'Spark Core' for structured data processingAnalytics Platform for Big DataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.datomic.comwww.kinetica.comspark.apache.org/­sqlwww.splunk.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comdocs.kinetica.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperCognitectKineticaApache Software FoundationSplunk Inc.STS Soft SC
Initial release20122012201420032011
Current release1.0.6735, June 20237.1, August 20213.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC, C++ScalaC#
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes 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.nononoyes
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like DML and DDL statementsno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP REST.NET Client API
Supported programming languagesClojure
Java
C++
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnoyesno
TriggersBy using transaction functionsyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingyes, utilizing Spark CoreShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 developmentyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlnoAccess rights for users and roles on table levelnoAccess rights for users and rolesno

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More resources
DatomicKineticaSpark SQLSplunkSTSdb
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