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DBMS > 4D vs. Alibaba Cloud PolarDB vs. Apache Druid vs. Citus

System Properties Comparison 4D vs. Alibaba Cloud PolarDB vs. Apache Druid vs. Citus

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAlibaba Cloud PolarDB  Xexclude from comparisonApache Druid  Xexclude from comparisonCitus  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Open-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score0.82
Rank#205  Overall
#97  Relational DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score2.13
Rank#117  Overall
#56  Relational DBMS
Websitewww.4d.comwww.alibabacloud.com/­product/­polardbdruid.apache.orgwww.citusdata.com
Technical documentationdeveloper.4d.comwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdruid.apache.org/­docs/­latest/­designdocs.citusdata.com
Developer4D, IncAlibabaApache Software Foundation and contributors
Initial release198420122010
Current releasev20, April 202330.0.0, June 20248.1, December 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license v2Open Source infoAGPL, commercial license also available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsOS X
Windows
hostedLinux
OS X
Unix
Linux
Data schemeyesyesyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesyesnoyes infospecific XML type available, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesSQL for queryingyes infostandard, with numerous extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages4D proprietary IDE
PHP
Java
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionAlibaba Cloud PolarDBApache DruidCitus
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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4D infoformer name: 4th DimensionAlibaba Cloud PolarDBApache DruidCitus
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