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DBMS > openGemini vs. OrigoDB vs. Spark SQL

System Properties Comparison openGemini vs. OrigoDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameopenGemini  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.opengemini.org
github.com/­openGemini
origodb.comspark.apache.org/­sql
Technical documentationdocs.opengemini.org/­guideorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHuawei and openGemini communityRobert Friberg et alApache Software Foundation
Initial release20222009 infounder the name LiveDB2014
Current release1.1, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC#Scala
Server operating systemsLinux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateInteger, Float, Boolean, StringUser defined using .NET types and collectionsyes
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 infocan be achieved using .NETno
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statements
APIs and other access methodsHTTP REST.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresnoyesno
Triggersnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAdministrators and common users accountsRole based authorizationno

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More resources
openGeminiOrigoDBSpark SQL
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