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DBMS > FoundationDB vs. GeoMesa vs. GridDB vs. Postgres-XL

System Properties Comparison FoundationDB vs. GeoMesa vs. GridDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGridDB  Xexclude from comparisonPostgres-XL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Scalable in-memory time series database optimized for IoT and Big DataBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Spatial DBMSTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.geomesa.orggriddb.netwww.postgres-xl.org
Technical documentationapple.github.io/­foundationdbwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.griddb.netwww.postgres-xl.org/­documentation
DeveloperFoundationDBCCRi and othersToshiba Corporation
Initial release2013201420132014 infosince 2012, originally named StormDB
Current release6.2.28, November 20205.0.0, May 20245.1, August 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoMozilla public license
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++ScalaC++C
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS
Data schemeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlynoSQL92, SQL-like TQL (Toshiba Query Language)yes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlynonouser defined functions
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencydepending on storage layerImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID at container levelACID infoMVCC
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.depending on storage layeryesno
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageAccess rights for users can be defined per databasefine grained access rights according to SQL-standard
More information provided by the system vendor
FoundationDBGeoMesaGridDBPostgres-XL
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
FoundationDBGeoMesaGridDBPostgres-XL
DB-Engines blog posts

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