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DBMS > FoundationDB vs. Greenplum vs. MonetDB vs. Typesense

System Properties Comparison FoundationDB vs. Greenplum vs. MonetDB vs. Typesense

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGreenplum  Xexclude from comparisonMonetDB  Xexclude from comparisonTypesense  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.A relational database management system that stores data in columnsA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSSearch engine
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
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websitegithub.com/­apple/­foundationdbgreenplum.orgwww.monetdb.orgtypesense.org
Technical documentationapple.github.io/­foundationdbdocs.greenplum.orgwww.monetdb.org/­Documentationtypesense.org/­docs
DeveloperFoundationDBPivotal Software Inc.MonetDB BV
Initial release2013200520042015
Current release6.2.28, November 20207.0.0, September 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoMozilla Public License 2.0Open Source infoGPL V3
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++CC++
Server operating systemsLinux
OS X
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-free infosome layers support schemasyesyesschema-free infopre-defined schema optional
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 4.2
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesyes infoSQL 2003 with some extensionsno
APIs and other access methodsJDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
Java
Perl
Python
R
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresin SQL-layer onlyyesyes, in SQL, C, Rno
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone infoSource-replica replication available in experimental statusMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlyyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FoundationDBGreenplumMonetDBTypesense
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