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DBMS > OpenSearch vs. Prometheus vs. ScyllaDB

System Properties Comparison OpenSearch vs. Prometheus vs. ScyllaDB

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Editorial information provided by DB-Engines
NameOpenSearch  Xexclude from comparisonPrometheus  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneOpen-source Time Series DBMS and monitoring systemCassandra and DynamoDB compatible wide column store
Primary database modelSearch engine
Vector DBMS
Time Series DBMSWide column store
Secondary database modelsVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.97
Rank#32  Overall
#4  Search engines
#2  Vector DBMS
Score6.38
Rank#54  Overall
#3  Time Series DBMS
Score3.61
Rank#72  Overall
#5  Wide column stores
Websitegithub.com/­opensearch-project
opensearch.org
prometheus.iowww.scylladb.com
Technical documentationopensearch.org/­docs/­latestprometheus.io/­docsdocs.scylladb.com
DeveloperThe OpenSearch Software FoundationScyllaDB
Initial release202120152015
Current release2.19, February 2025ScyllaDB Open Source 6.2.0, October 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license available
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 VMLinux
Windows
Linux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyes infoAll search fields are automatically indexednoyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statements (CQL)
APIs and other access methodsJava API
RESTful HTTP/JSON API
RESTful HTTP/JSON APIProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresyesnoyes, Lua
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby Federationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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, allnoneEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoAtomicity and isolation are supported for single operations
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.noyes infoin-memory tables
User concepts infoAccess controlnoAccess rights for users can be defined per object
More information provided by the system vendor
OpenSearchPrometheusScyllaDB
News

New ScyllaDB Release Delivers Unprecedented Elasticity & Efficiency via “Tablets” Architecture
3 December 2024

ScyllaDB Announces 6.0 Release for True Elastic Scale
12 June 2024

New ScyllaDB Release Achieves 50% Higher Throughput, 33% Lower Latency
20 February 2024

ScyllaDB Named Fastest Growing NoSQL Database on Deloitte Fast 500 List for the Second Consecutive Year
14 November 2023

ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels
17 October 2023

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More resources
OpenSearchPrometheusScyllaDB
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