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DBMS > 4D vs. Apache Druid vs. Badger vs. PostgreSQL vs. Valentina Server

System Properties Comparison 4D vs. Apache Druid vs. Badger vs. PostgreSQL vs. Valentina Server

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonPostgreSQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.4d.comdruid.apache.orggithub.com/­dgraph-io/­badgerwww.postgresql.orgwww.valentina-db.net
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerwww.postgresql.org/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer4D, IncApache Software Foundation and contributorsDGraph LabsPostgreSQL Global Development Group infowww.postgresql.org/­developerParadigma Software
Initial release1984201220171989 info1989: Postgres, 1996: PostgreSQL1999
Current releasev20, April 202329.0.1, April 202416.3, May 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaGoC
Server operating systemsOS X
Windows
Linux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingnoyes infostandard with numerous extensionsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Go.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basednonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesnoneSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonononoyes
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionApache DruidBadgerPostgreSQLValentina Server
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