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DBMS > OrigoDB vs. Rockset vs. Spark SQL vs. VictoriaMetrics

System Properties Comparison OrigoDB vs. Rockset vs. Spark SQL vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processingA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Object oriented DBMS
Document storeRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
Search engine
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
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteorigodb.comrockset.comspark.apache.org/­sqlvictoriametrics.com
Technical documentationorigodb.com/­docsdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperRobert Friberg et alRocksetApache Software FoundationVictoriaMetrics
Initial release2009 infounder the name LiveDB201920142018
Current release3.5.0 ( 2.13), September 2023v1.91, May 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++ScalaGo
Server operating systemsLinux
Windows
hostedLinux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsdynamic typingyes
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 infoingestion from XML files supportednono
Secondary indexesyesall fields are automatically indexedno
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
HTTP API
LINQ
HTTP RESTJDBC
ODBC
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.NetGo
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersyes infoDomain Eventsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritydepending on modelnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole based authorizationAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
OrigoDBRocksetSpark SQLVictoriaMetrics
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