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DBMS > EsgynDB vs. SQream DB vs. StarRocks vs. Valentina Server

System Properties Comparison EsgynDB vs. SQream DB vs. StarRocks vs. Valentina Server

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonSQream DB  Xexclude from comparisonStarRocks  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodiona GPU-based, columnar RDBMS for big data analytics workloadsAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitewww.esgyn.cnsqream.comwww.starrocks.iowww.valentina-db.net
Technical documentationdocs.sqream.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperEsgynSQream TechnologiesThe Linux Foundation infosince Feb 2023Paradigma Software
Initial release2015201720201999
Current release2022.1.6, December 20222.5.3, March 20235.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++, CUDA, Haskell, Java, ScalaC++, Java
Server operating systemsLinuxLinuxLinuxLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
JDBC
MySQL protocol
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
Java.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions in Pythonuser defined functionsyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioninghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
EsgynDBSQream DBStarRocksValentina Server
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