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DBMS > OpenSearch vs. VictoriaMetrics vs. YTsaurus

System Properties Comparison OpenSearch vs. VictoriaMetrics vs. YTsaurus

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Editorial information provided by DB-Engines
NameOpenSearch  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneA fast, cost-effective and scalable Time Series DBMS and monitoring solutionYTsaurus is an open source platform for distributed storage and processing.
Primary database modelSearch engine
Vector DBMS
Time Series DBMSDocument store
Key-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.19
Rank#32  Overall
#4  Search engines
#2  Vector DBMS
Score1.34
Rank#149  Overall
#15  Time Series DBMS
Score0.21
Rank#305  Overall
#45  Document stores
#44  Key-value stores
Websitegithub.com/­opensearch-project
opensearch.org
victoriametrics.comytsaurus.tech
Technical documentationopensearch.org/­docs/­latestdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
ytsaurus.tech/­docs/­en
DeveloperThe OpenSearch Software FoundationVictoriaMetricsYandex
Initial release202120182023
Current release2.19, February 2025v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJavaGoC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
OpenBSD
Ubuntu
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenoYQL, an SQL-based language, is supported
APIs and other access methodsJava API
RESTful HTTP/JSON API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesno
Triggersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess Control Lists

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More resources
OpenSearchVictoriaMetricsYTsaurus
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