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DBMS > OceanBase vs. Spark SQL vs. Stardog vs. STSdb

System Properties Comparison OceanBase vs. Spark SQL vs. Stardog vs. STSdb

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Editorial information provided by DB-Engines
NameOceanBase  Xexclude from comparisonSpark SQL  Xexclude from comparisonStardog  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA distributed, high available RDBMS compatible with Oracle and MySQLSpark 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 virtualizationKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Key-value store
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.57
Rank#149  Overall
#69  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websiteen.oceanbase.comspark.apache.org/­sqlwww.stardog.comgithub.com/­STSSoft/­STSdb4
Technical documentationen.oceanbase.com/­docs/­oceanbase-databasespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.stardog.com
DeveloperOceanBase infopreviously Alibaba and Ant GroupApache Software FoundationStardog-UnionSTS Soft SC
Initial release2010201420102011
Current release4.3.0, April 20243.5.0 ( 2.13), September 20237.3.0, May 20204.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoCommercial license availableOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaJavaC#
Server operating systemsLinuxLinux
OS X
Windows
Linux
macOS
Windows
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyes 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.yesnono infoImport/export of XML data possible
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLyesSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table 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
.NET Client API
Supported programming languagesAda infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
Java
Python
R
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modenouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesnoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by hash, key, range, range columns, list, and list columns)yes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosnoneMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoAccess rights for users and rolesno

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More resources
OceanBaseSpark SQLStardogSTSdb
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