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DBMS > Drizzle vs. JSqlDb vs. openGemini vs. Spark SQL

System Properties Comparison Drizzle vs. JSqlDb vs. openGemini vs. Spark SQL

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonJSqlDb  Xexclude from comparisonopenGemini  Xexclude from comparisonSpark SQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.JavaScript Query Language Database, stores JavaScript objects and primitivesAn 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 processing
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitejsqldb.org (offline)www.opengemini.org
github.com/­openGemini
spark.apache.org/­sql
Technical documentationdocs.opengemini.org/­guidespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDrizzle project, originally started by Brian AkerKonrad von BackstromHuawei and openGemini communityApache Software Foundation
Initial release2008201820222014
Current release7.2.4, September 20120.8, December 20181.1, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoScala
Server operating systemsFreeBSD
Linux
OS X
Linux
macOS
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoInteger, Float, Boolean, Stringyes
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 indexesyesnoyesno
SQL infoSupport of SQLyes infowith proprietary extensionsnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJDBCHTTP RESTJDBC
ODBC
Supported programming languagesC
C++
Java
PHP
JavaScriptC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
Server-side scripts infoStored proceduresnofunctions in JavaScriptnono
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAdministrators and common users accountsno

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More resources
DrizzleJSqlDbopenGeminiSpark SQL
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