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DBMS > 4D vs. Alibaba Cloud PolarDB vs. Apache Impala vs. CouchDB vs. Hypertable

System Properties Comparison 4D vs. Alibaba Cloud PolarDB vs. Apache Impala vs. CouchDB vs. Hypertable

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAlibaba Cloud PolarDB  Xexclude from comparisonApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Analytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeWide column store
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.59
Rank#241  Overall
#110  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Websitewww.4d.comwww.alibabacloud.com/­product/­polardbimpala.apache.orgcouchdb.apache.org
Technical documentationdeveloper.4d.comwww.alibabacloud.com/­help/­en/­polardb/­product-overviewimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stable
Developer4D, IncAlibabaApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHypertable Inc.
Initial release1984201320052009
Current releasev20, April 20234.1.0, June 20223.3.3, December 20230.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++
Server operating systemsOS X
Windows
hostedLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.yesyesnono
Secondary indexesyesyesyesyes infovia viewsrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyes infoclose to SQL 92yesSQL-like DML and DDL statementsnono
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
JDBC
ODBC
RESTful HTTP/JSON APIC++ API
Thrift
Supported programming languages4D proprietary IDE
PHP
Java
Python
All languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesyes infouser defined functions and integration of map-reduceView functions in JavaScriptno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud serviceselectable replication factorMulti-source replication
Source-replica replication
selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono infoatomic operations within a single document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infostrategy: optimistic lockingyes
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.noyesnono
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databaseno
More information provided by the system vendor
4D infoformer name: 4th DimensionAlibaba Cloud PolarDBApache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Hypertable
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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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 ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Hypertable
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