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DBMS > FatDB vs. OrigoDB vs. RisingWave vs. VictoriaMetrics

System Properties Comparison FatDB vs. OrigoDB vs. RisingWave vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonRisingWave  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A fully ACID in-memory object graph databaseA distributed RDBMS for stream processing, wire-compatible with PostgreSQLA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteorigodb.comwww.risingwave.com/­databasevictoriametrics.com
Technical documentationorigodb.com/­docsdocs.risingwave.com/­docs/­current/­introdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperFatCloudRobert Friberg et alRisingWave LabsVictoriaMetrics
Initial release20122009 infounder the name LiveDB20222018
Current release1.2, September 2023v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C#RustGo
Server operating systemsWindowsLinux
Windows
Docker
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsStandard SQL-types and JSON
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 .NETnono
Secondary indexesyesyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyesno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.NET Client API
HTTP API
LINQ
JDBC
PostgreSQL wire protocol
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#.NetGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infovia applicationsyesUDFs in Python or Javano
Triggersyes infovia applicationsyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlno infoCan implement custom security layer via applicationsRole based authorizationUsers and Roles

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More resources
FatDBOrigoDBRisingWaveVictoriaMetrics
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