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DBMS > FoundationDB vs. mSQL vs. OrigoDB vs. Prometheus vs. TimescaleDB

System Properties Comparison FoundationDB vs. mSQL vs. OrigoDB vs. Prometheus vs. TimescaleDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.mSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemA 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
Relational DBMSDocument store
Object oriented DBMS
Time Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score7.92
Rank#51  Overall
#2  Time Series DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitegithub.com/­apple/­foundationdbhughestech.com.au/­products/­msqlorigodb.comprometheus.iowww.timescale.com
Technical documentationapple.github.io/­foundationdborigodb.com/­docsprometheus.io/­docsdocs.timescale.com
DeveloperFoundationDBHughes TechnologiesRobert Friberg et alTimescale
Initial release201319942009 infounder the name LiveDB20152017
Current release6.2.28, November 20204.4, October 20212.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0Open Source infoApache 2.0
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++CC#GoC
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeschema-free infosome layers support schemasyesyesyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesUser defined using .NET types and collectionsNumeric data onlynumerics, 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.nono infocan be achieved using .NETno infoImport of XML data possibleyes
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLsupported in specific SQL layer onlyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIADO.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++
Delphi
Java
Perl
PHP
Tcl
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlynoyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronizedShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replicationyes infoby FederationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencynonenoneImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnonoRole based authorizationnofine grained access rights according to SQL-standard

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More resources
FoundationDBmSQL infoMini SQLOrigoDBPrometheusTimescaleDB
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