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DBMS > mSQL vs. OrigoDB vs. Prometheus vs. Riak KV vs. TimescaleDB

System Properties Comparison mSQL vs. OrigoDB vs. Prometheus vs. Riak KV vs. TimescaleDB

Editorial information provided by DB-Engines
NamemSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRiak KV  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemDistributed, fault tolerant key-value storeA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitehughestech.com.au/­products/­msqlorigodb.comprometheus.iowww.timescale.com
Technical documentationorigodb.com/­docsprometheus.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.timescale.com
DeveloperHughes TechnologiesRobert Friberg et alOpenSource, formerly Basho TechnologiesTimescale
Initial release19942009 infounder the name LiveDB201520092017
Current release4.4, October 20213.2.0, December 20222.13.0, November 2023
License infoCommercial or Open Sourcecommercial infofree licenses can be providedOpen SourceOpen Source infoApache 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC#GoErlangC
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Linux
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsNumeric data onlynonumerics, 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 possiblenoyes
Secondary indexesyesyesnorestrictedyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Delphi
Java
Perl
PHP
Tcl
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesnoErlanguser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoDomain Eventsnoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding infono "single point of failure"yes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoby Federationselectable replication factorSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlnoRole based authorizationnoyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
mSQL infoMini SQLOrigoDBPrometheusRiak KVTimescaleDB
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