DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonJSqlDb  Xexclude from comparisonopenGemini  Xexclude from comparisonSpark SQL  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsJavaScript 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 modelKey-value store
Vector DBMS
Document store
Object oriented DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.jaguardb.comjsqldb.org (offline)www.opengemini.org
github.com/­openGemini
spark.apache.org/­sql
Technical documentationwww.jaguardb.com/­support.htmldocs.opengemini.org/­guidespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDataJaguar, Inc.Konrad von BackstromHuawei and openGemini communityApache Software Foundation
Initial release2015201820222014
Current release3.3 July 20230.8, December 20181.1, July 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesGoScala
Server operating systemsLinuxLinux
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
HTTP RESTJDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
Server-side scripts infoStored proceduresnofunctions in JavaScriptnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.noyesno
User concepts infoAccess controlrights management via user accountsAdministrators and common users accountsno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
JaguarDBJSqlDbopenGeminiSpark SQL
Recent citations in the news

About HUAWEI Open Source
9 February 2022, Huawei

provided by Google News

Use Amazon Athena with Spark SQL for your open-source transactional table formats | Amazon Web Services
24 January 2024, AWS Blog

What is Apache Spark? The big data platform that crushed Hadoop
3 April 2024, InfoWorld

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2024
1 April 2024, Simplilearn

Performant IPv4 Range Spark Joins | by Jean-Claude Cote
24 January 2024, Towards Data Science

Simba Technologies(R) Introduces New, Powerful JDBC Driver With SQL Connector for Apache Spark(TM)
17 March 2024, Yahoo Singapore News

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here