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DBMS > Citus vs. FoundationDB vs. Hive vs. PostGIS vs. SQream DB

System Properties Comparison Citus vs. FoundationDB vs. Hive vs. PostGIS vs. SQream DB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFoundationDB  Xexclude from comparisonHive  Xexclude from comparisonPostGIS  Xexclude from comparisonSQream DB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLOrdered key-value store. Core features are complimented by layers.data warehouse software for querying and managing large distributed datasets, built on HadoopSpatial extension of PostgreSQLa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSSpatial DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.citusdata.comgithub.com/­apple/­foundationdbhive.apache.orgpostgis.netsqream.com
Technical documentationdocs.citusdata.comapple.github.io/­foundationdbcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentationdocs.sqream.com
DeveloperFoundationDBApache Software Foundation infoinitially developed by FacebookSQream Technologies
Initial release20102013201220052017
Current release8.1, December 20186.2.28, November 20203.1.3, April 20223.4.2, February 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++JavaCC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMLinux
Data schemeyesschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes, ANSI Standard SQL Types
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.yes infospecific XML type available, but no XML query functionalityyes
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionssupported in specific SQL layer onlySQL-like DML and DDL statementsyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
.Net
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.in SQL-layer onlyyes infouser defined functions and integration of map-reduceuser defined functionsuser defined functions in Python
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes infobased on PostgreSQLhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesselectable replication factoryes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and rolesyes infobased on PostgreSQL

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More resources
CitusFoundationDBHivePostGISSQream DB
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