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DBMS > 4D vs. Apache Druid vs. HEAVY.AI vs. PostgreSQL

System Properties Comparison 4D vs. Apache Druid vs. HEAVY.AI vs. PostgreSQL

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPostgreSQL  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 dataA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSDocument 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
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score645.05
Rank#4  Overall
#4  Relational DBMS
Websitewww.4d.comdruid.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.postgresql.org
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designdocs.heavy.aiwww.postgresql.org/­docs
Developer4D, IncApache Software Foundation and contributorsHEAVY.AI, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release1984201220161989 info1989: Postgres, 1996: PostgreSQL
Current releasev20, April 202329.0.1, April 20245.10, January 202216.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2; enterprise edition availableOpen Source infoBSD
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.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageJavaC++ and CUDAC
Server operating systemsOS X
Windows
Linux
OS X
Unix
LinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes
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.yesnonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingyesyes infostandard with numerous extensions
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedSharding infoRound robinpartitioning 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 enginesMulti-source replicationSource-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 integrityyesnonoyes
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 persistentyesyesyesyes
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 groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine 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 DruidHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022PostgreSQL
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