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DBMS > gStore vs. Spark SQL vs. StarRocks

System Properties Comparison gStore vs. Spark SQL vs. StarRocks

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Editorial information provided by DB-Engines
NamegStore  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA native Graph DBMS to store and maintain very large RDF datasets.Spark SQL is a component on top of 'Spark Core' for structured data processingAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websiteen.gstore.cnspark.apache.org/­sqlwww.starrocks.io
Technical documentationen.gstore.cn/­#/­enDocsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release201620142020
Current release1.2, November 20233.5.0 ( 2.13), September 20233.3, June 2024
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaC++, Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
Data schemeschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP API
SPARQL 1.1
JDBC
ODBC
JDBC
MySQL protocol
Supported programming languagesC++
Java
JavaScript (Node.js)
PHP
Python
Java
Python
R
Scala
Java
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers, roles and permissions, Role-Based Access Control (RBAC) supportednoRole based access control and fine grained access rights

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More resources
gStoreSpark SQLStarRocks
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