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DBMS > FoundationDB vs. GigaSpaces vs. GridDB vs. IBM Db2 vs. KeyDB

System Properties Comparison FoundationDB vs. GigaSpaces vs. GridDB vs. IBM Db2 vs. KeyDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGridDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonKeyDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsScalable in-memory time series database optimized for IoT and Big DataCommon in IBM host environments, 2 different versions for host and Windows/LinuxAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value store
Secondary database modelsGraph DBMS
Search engine
Key-value store
Relational DBMS
Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Websitegithub.com/­apple/­foundationdbwww.gigaspaces.comgriddb.netwww.ibm.com/­products/­db2github.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationapple.github.io/­foundationdbdocs.gigaspaces.com/­latest/­landing.htmldocs.griddb.netwww.ibm.com/­docs/­en/­db2docs.keydb.dev
DeveloperFoundationDBGigaspaces TechnologiesToshiba CorporationIBMEQ Alpha Technology Ltd.
Initial release2013200020131983 infohost version2019
Current release6.2.28, November 202015.5, September 20205.1, August 202212.1, October 2016
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree version is availableOpen Source infoBSD-3
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 languageC++Java, C++, .NetC++C and C++C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
Data schemeschema-free infosome layers support schemasschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes infonumerical, string, blob, geometry, boolean, timestampyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.no infoXML can be used for describing objects metadatanono
Secondary indexesnoyesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-99 for query and DML statementsSQL92, SQL-like TQL (Toshiba Query Language)yesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresin SQL-layer onlyyesnoyesLua
Triggersnoyes, event driven architectureyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoonly with Windows/Unix/Linux VersionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationyes infowith separate tools (MQ, InfoSphere)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency within container, eventual consistency across containersEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityin SQL-layer onlynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoRole-based access controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardsimple password-based access control and ACL
More information provided by the system vendor
FoundationDBGigaSpacesGridDBIBM Db2 infoformerly named DB2 or IBM Database 2KeyDB
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
FoundationDBGigaSpacesGridDBIBM Db2 infoformerly named DB2 or IBM Database 2KeyDB
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