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DBMS > Kinetica vs. Spark SQL vs. Stardog vs. StarRocks vs. STSdb

System Properties Comparison Kinetica vs. Spark SQL vs. Stardog vs. StarRocks vs. STSdb

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparisonStarRocks  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsSpark SQL is a component on top of 'Spark Core' for structured data processingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score1.04
Rank#189  Overall
#88  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.kinetica.comspark.apache.org/­sqlwww.stardog.comwww.starrocks.iogithub.com/­STSSoft/­STSdb4
Technical documentationdocs.kinetica.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperKineticaApache Software FoundationStardog-UnionThe Linux Foundation infosince Feb 2023STS Soft SC
Initial release20122014201020202011
Current release7.1, August 20213.5.0 ( 2.13), September 20237.3.0, May 20202.5.3, March 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ScalaJavaC++, JavaC#
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Windows
LinuxWindows
Data schemeyesyesschema-free and OWL/RDFS-schema supportyesyes
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.nonono infoImport/export of XML data possibleno
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serveryesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
MySQL protocol
.NET Client API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
JavaC#
Java
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions and aggregates, HTTP Server extensions in Javauser defined functionsno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infovia event handlersnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corenonehorizontal partitioning (by range and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyesno
User concepts infoAccess controlAccess rights for users and roles on table levelnoAccess rights for users and rolesRole based access control and fine grained access rightsno

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More resources
KineticaSpark SQLStardogStarRocksSTSdb
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