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

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

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUsSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-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
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.datomic.comwww.embarcadero.com/­products/­interbasewww.kinetica.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comdocs.embarcadero.com/­products/­interbasedocs.kinetica.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCognitectEmbarcaderoKineticaApache Software FoundationSTS Soft SC
Initial release20121984201220142011
Current release1.0.6735, June 2023InterBase 2020, December 20197.1, August 20213.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoApache 2.0Open 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, ClojureCC, C++ScalaC#
Server operating systemsAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
LinuxLinux
OS X
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.nono infoexport as XML data possiblenono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
.NET Client API
Supported programming languagesClojure
Java
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoInterbase procedure and trigger languageuser defined functionsnono
TriggersBy using transaction functionsyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersInterbase Change ViewsSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
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 developmentyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and roles on table levelnono

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More resources
DatomicInterbaseKineticaSpark SQLSTSdb
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