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DBMS > FoundationDB vs. GigaSpaces vs. InterSystems Caché vs. TimescaleDB

System Properties Comparison FoundationDB vs. GigaSpaces vs. InterSystems Caché vs. TimescaleDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonTimescaleDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines 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 TransactionsA multi-model DBMS and application serverA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
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
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsGraph DBMS
Search engine
Document storeRelational 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
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitegithub.com/­apple/­foundationdbwww.gigaspaces.comwww.intersystems.com/­products/­cachewww.timescale.com
Technical documentationapple.github.io/­foundationdbdocs.gigaspaces.com/­latest/­landing.htmldocs.intersystems.comdocs.timescale.com
DeveloperFoundationDBGigaspaces TechnologiesInterSystemsTimescale
Initial release2013200019972017
Current release6.2.28, November 202015.5, September 20202018.1.4, May 20202.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetC
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-free infosome layers support schemasschema-freedepending on used data modelyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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 metadatayesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-99 for query and DML statementsyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
RESTful HTTP 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
.Net
C++
Java
Python
Scala
C#
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlyyesyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.yesyesno
User concepts infoAccess controlnoRole-based access controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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FoundationDBGigaSpacesInterSystems CachéTimescaleDB
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