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DBMS > Datomic vs. Kinetica vs. SiteWhere vs. STSdb vs. WakandaDB

System Properties Comparison Datomic vs. Kinetica vs. SiteWhere vs. STSdb vs. WakandaDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKinetica  Xexclude from comparisonSiteWhere  Xexclude from comparisonSTSdb  Xexclude from comparisonWakandaDB  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 CPUsM2M integration platform for persisting/querying time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value storeObject oriented DBMS
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
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.datomic.comwww.kinetica.comgithub.com/­sitewhere/­sitewheregithub.com/­STSSoft/­STSdb4wakanda.github.io
Technical documentationdocs.datomic.comdocs.kinetica.comsitewhere1.sitewhere.io/­index.htmlwakanda.github.io/­doc
DeveloperCognitectKineticaSiteWhereSTS Soft SCWakanda SAS
Initial release20122012201020112012
Current release1.0.6735, June 20237.1, August 20214.0.8, September 20152.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPLv2, commercial license availableOpen Source infoAGPLv3, extended 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++JavaC#C++, JavaScript
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
WindowsLinux
OS X
Windows
Data schemeyesyespredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)yes
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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
HTTP REST.NET Client APIRESTful HTTP API
Supported programming languagesClojure
Java
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnoyes
TriggersBy using transaction functionsyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infobased on HBasenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationselectable replication factor infobased on HBasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
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 levelUsers with fine-grained authorization conceptnoyes

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More resources
DatomicKineticaSiteWhereSTSdbWakandaDB
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