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DBMS > OrigoDB vs. Rockset vs. Spark SQL vs. StarRocks

System Properties Comparison OrigoDB vs. Rockset vs. Spark SQL vs. StarRocks

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark 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 modelDocument store
Object oriented DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.04
Rank#189  Overall
#88  Relational DBMS
Websiteorigodb.comrockset.comspark.apache.org/­sqlwww.starrocks.io
Technical documentationorigodb.com/­docsdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperRobert Friberg et alRocksetApache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release2009 infounder the name LiveDB201920142020
Current release3.5.0 ( 2.13), September 20232.5.3, March 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++ScalaC++, Java
Server operating systemsLinux
Windows
hostedLinux
OS X
Windows
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsdynamic typingyesyes
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.no infocan be achieved using .NETno infoingestion from XML files supportednono
Secondary indexesyesall fields are automatically indexednoyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP RESTJDBC
ODBC
JDBC
MySQL protocol
Supported programming languages.NetGo
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Java
Server-side scripts infoStored proceduresyesnonouser defined functions
Triggersyes infoDomain Eventsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardingyes, utilizing Spark Corehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole based authorizationAccess rights for users and organizations can be defined via Rockset consolenoRole based access control and fine grained access rights

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More resources
OrigoDBRocksetSpark SQLStarRocks
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