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DBMS > Apache Druid vs. Datomic vs. Kinetica vs. SQL.JS

System Properties Comparison Apache Druid vs. Datomic vs. Kinetica vs. SQL.JS

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatomic  Xexclude from comparisonKinetica  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFully vectorized database across both GPUs and CPUsPort of SQLite to JavaScript
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitedruid.apache.orgwww.datomic.comwww.kinetica.comsql.js.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.datomic.comdocs.kinetica.comsql.js.org/­documentation/­index.html
DeveloperApache Software Foundation and contributorsCognitectKineticaAlon Zakai infoenhancements implemented by others
Initial release2012201220122012
Current release29.0.1, April 20241.0.7075, December 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infolimited edition freecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC, C++JavaScript
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL for queryingnoSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
ODBC
RESTful HTTP API
JavaScript API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
Java
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsno
TriggersnoBy using transaction functionsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone infoBut extensive use of caching in the application peersSource-replica replicationnone
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 configurationnone
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users and roles on table levelno

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More resources
Apache DruidDatomicKineticaSQL.JS
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