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DBMS > OrigoDB vs. PlanetScale vs. Prometheus vs. Realm vs. TimescaleDB

System Properties Comparison OrigoDB vs. PlanetScale vs. Prometheus vs. Realm vs. TimescaleDB

Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonPrometheus  Xexclude from comparisonRealm  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseScalable, distributed, serverless MySQL database platform built on top of VitessOpen-source Time Series DBMS and monitoring systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Object oriented DBMS
Relational DBMSTime Series DBMSDocument storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteorigodb.complanetscale.comprometheus.iorealm.iowww.timescale.com
Technical documentationorigodb.com/­docsplanetscale.com/­docsprometheus.io/­docsrealm.io/­docsdocs.timescale.com
DeveloperRobert Friberg et alPlanetScaleRealm, acquired by MongoDB in May 2019Timescale
Initial release2009 infounder the name LiveDB2020201520142017
Current release2.15.0, May 2024
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoGoC
Server operating systemsLinux
Windows
Docker
Linux
macOS
Linux
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsyesNumeric data onlyyesnumerics, 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 infocan be achieved using .NETno infoImport of XML data possiblenoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnonoyes infofull PostgreSQL SQL syntax
APIs and other access methods.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyes infoproprietary syntaxnono inforuns within the applications so server-side scripts are unnecessaryuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infoDomain Eventsyesnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShardingShardingnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infoby FederationnoneSource-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 systemEventual Consistency across shards
Immediate Consistency within a shard
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritydepending on modelyes infonot for MyISAM storage enginenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoIn-Memory realmno
User concepts infoAccess controlRole based authorizationUsers with fine-grained authorization concept infono user groups or rolesnoyesfine grained access rights according to SQL-standard

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OrigoDBPlanetScalePrometheusRealmTimescaleDB
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