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DBMS > FoundationDB vs. Greenplum vs. Ignite vs. Ingres

System Properties Comparison FoundationDB vs. Greenplum vs. Ignite vs. Ingres

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGreenplum  Xexclude from comparisonIgnite  Xexclude from comparisonIngres  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Well established RDBMS
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitegithub.com/­apple/­foundationdbgreenplum.orgignite.apache.orgwww.actian.com/­databases/­ingres
Technical documentationapple.github.io/­foundationdbdocs.greenplum.orgapacheignite.readme.io/­docsdocs.actian.com/­ingres
DeveloperFoundationDBPivotal Software Inc.Apache Software FoundationActian Corporation
Initial release2013200520151974 infooriginally developed at University Berkely in early 1970s
Current release6.2.28, November 20207.0.0, September 2023Apache Ignite 2.611.2, May 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, .NetC
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
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.yes infosince Version 4.2yesno infobut tools for importing/exporting data from/to XML-files available
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresin SQL-layer onlyyesyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneously
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes (replicated cache)Ingres Replicator
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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FoundationDBGreenplumIgniteIngres
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