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DBMS > Alibaba Cloud PolarDB vs. DolphinDB vs. JaguarDB vs. Postgres-XL vs. Spark SQL

System Properties Comparison Alibaba Cloud PolarDB vs. DolphinDB vs. JaguarDB vs. Postgres-XL vs. Spark SQL

Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Performant, highly scalable DBMS for AI and IoT applicationsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSKey-value store
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#241  Overall
#110  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­polardbwww.dolphindb.comwww.jaguardb.comwww.postgres-xl.orgspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdocs.dolphindb.cn/­en/­help200/­index.htmlwww.jaguardb.com/­support.htmlwww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaDolphinDB, IncDataJaguar, Inc.Apache Software Foundation
Initial release201820152014 infosince 2012, originally named StormDB2014
Current releasev2.00.4, January 20223.3 July 202310 R1, October 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community version availableOpen Source infoGPL V3.0Open Source infoMozilla public licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ infothe server part. Clients available in other languagesCScala
Server operating systemshostedLinux
Windows
LinuxLinux
macOS
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infodistributed, parallel query executionSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesJava
Python
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesyesnouser defined functionsno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, Groupsrights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
Alibaba Cloud PolarDBDolphinDBJaguarDBPostgres-XLSpark SQL
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
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Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
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Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
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More resources
Alibaba Cloud PolarDBDolphinDBJaguarDBPostgres-XLSpark SQL
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