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DBMS > Coveo vs. InfluxDB vs. OpenSearch

System Properties Comparison Coveo vs. InfluxDB vs. OpenSearch

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonInfluxDB  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDBMS for storing time series, events and metricsA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelSearch engineTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS infowith GEO packageVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score16.03
Rank#37  Overall
#4  Search engines
Websitewww.coveo.comwww.influxdata.com/­products/­influxdb-overviewgithub.com/­opensearch-project
opensearch.org
Technical documentationdocs.coveo.comdocs.influxdata.com/­influxdbopensearch.org/­docs/­latest
DeveloperCoveoAmazon Web Services
Initial release201220132021
Current release2.7.6, April 20242.5.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
  • 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 languageGoJava
Server operating systemshostedLinux
OS X infothrough Homebrew
All OS with a Java VM
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes
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 indexesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP API
JSON over UDP
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresnonoyes
Triggersyesnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlyyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
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.yes infoDepending on used storage engine
User concepts infoAccess controlgranular access controls, API key management, content filterssimple rights management via user accounts
More information provided by the system vendor
CoveoInfluxDBOpenSearch
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
The OpenSearch Project offers open source software licensed under Apache License...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesAiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CoveoInfluxDBOpenSearch
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

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4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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