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DBMS > FoundationDB vs. openGauss vs. Postgres-XL vs. Splice Machine

System Properties Comparison FoundationDB vs. openGauss vs. Postgres-XL vs. Splice Machine

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonopenGauss  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplice Machine  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitegithub.com/­apple/­foundationdbgitee.com/­opengauss
opengauss.org
www.postgres-xl.orgsplicemachine.com
Technical documentationapple.github.io/­foundationdbdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.postgres-xl.org/­documentationsplicemachine.com/­how-it-works
DeveloperFoundationDBHuawei and openGauss communitySplice Machine
Initial release201320192014 infosince 2012, originally named StormDB2014
Current release6.2.28, November 20203.0, March 202210 R1, October 20183.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoMozilla public licenseOpen Source infoAGPL 3.0, commercial license available
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 languageC++C, C++, JavaCJava
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Linux
OS X
Solaris
Windows
Data schemeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyANSI SQL 2011yes infodistributed, parallel query executionyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresin SQL-layer onlyyesuser defined functionsyes infoJava
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
FoundationDBopenGaussPostgres-XLSplice Machine
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