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DBMS > openGemini vs. Spark SQL vs. Yaacomo

System Properties Comparison openGemini vs. Spark SQL vs. Yaacomo

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Editorial information provided by DB-Engines
NameopenGemini  Xexclude from comparisonSpark SQL  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilitySpark SQL is a component on top of 'Spark Core' for structured data processingOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.opengemini.org
github.com/­openGemini
spark.apache.org/­sqlyaacomo.com
Technical documentationdocs.opengemini.org/­guidespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHuawei and openGemini communityApache Software FoundationQ2WEB GmbH
Initial release202220142009
Current release1.1, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoScala
Server operating systemsLinux
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateInteger, Float, Boolean, Stringyesyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP RESTJDBC
ODBC
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
Server-side scripts infoStored proceduresnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.yesnoyes
User concepts infoAccess controlAdministrators and common users accountsnofine grained access rights according to SQL-standard

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More resources
openGeminiSpark SQLYaacomo
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