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DBMS > OushuDB vs. Pinecone vs. StarRocks

System Properties Comparison OushuDB vs. Pinecone vs. StarRocks

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Editorial information provided by DB-Engines
NameOushuDB  Xexclude from comparisonPinecone  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningA managed, cloud-native vector databaseAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitewww.oushu.com/­product/­oushuDBwww.pinecone.iowww.starrocks.io
Technical documentationwww.oushu.com/­documentationdocs.pinecone.io/­docs/­overviewdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperOushuPinecone Systems, IncThe Linux Foundation infosince Feb 2023
Initial release20192020
Current release4.0.1, August 20203.3, June 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java
Server operating systemsLinuxhostedLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLFull-featured ANSI SQL supportnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBC
MySQL protocol
Supported programming languagesC
C++
PythonJava
Server-side scripts infoStored proceduresyesuser defined functions
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning (by range and hash)
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.nono
User concepts infoAccess controlKerberos, SSL and role based accessRole based access control and fine grained access rights

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More resources
OushuDBPineconeStarRocks
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