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DBMS > 4D vs. Citus vs. HarperDB vs. RethinkDB

System Properties Comparison 4D vs. Citus vs. HarperDB vs. RethinkDB

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonCitus  Xexclude from comparisonHarperDB  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSDocument storeDocument store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score0.55
Rank#252  Overall
#38  Document stores
Score2.84
Rank#106  Overall
#19  Document stores
Websitewww.4d.comwww.citusdata.comwww.harperdb.iorethinkdb.com
Technical documentationdeveloper.4d.comdocs.citusdata.comdocs.harperdb.io/­docsrethinkdb.com/­docs
Developer4D, IncHarperDBThe Linux Foundation infosince July 2017
Initial release1984201020172009
Current releasev20, April 20238.1, December 20183.1, August 20212.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availablecommercial infofree community edition availableOpen Source infoApache Version 2
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 languageCNode.jsC++
Server operating systemsOS X
Windows
LinuxLinux
OS X
Linux
OS X
Windows
Data schemeyesyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes infostring, binary, float, bool, date, geometry
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.yesyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infostandard, with numerous extensionsSQL-like data manipulation statementsno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languages4D proprietary IDE
PHP
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Custom Functions infosince release 3.1
TriggersyesyesnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnoneShardingA table resides as a whole on one (or more) nodes in a clusterSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication infoother methods possible by using 3rd party extensionsyes infothe nodes on which a table resides can be definedSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardAccess rights for users and rolesyes infousers and table-level permissions

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More resources
4D infoformer name: 4th DimensionCitusHarperDBRethinkDB
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