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DBMS > ClickHouse vs. InfluxDB vs. Memcached vs. MongoDB vs. SiteWhere

System Properties Comparison ClickHouse vs. InfluxDB vs. Memcached vs. MongoDB vs. SiteWhere

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonInfluxDB  Xexclude from comparisonMemcached  Xexclude from comparisonMongoDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.DBMS for storing time series, events and metricsIn-memory key-value store, originally intended for cachingOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSTime Series DBMSKey-value storeDocument storeTime Series DBMS
Secondary database modelsTime Series DBMSSpatial DBMS infowith GEO packageSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.31
Rank#37  Overall
#23  Relational DBMS
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score20.81
Rank#32  Overall
#4  Key-value stores
Score424.53
Rank#5  Overall
#1  Document stores
Score0.05
Rank#381  Overall
#41  Time Series DBMS
Websiteclickhouse.comwww.influxdata.com/­products/­influxdb-overviewwww.memcached.orgwww.mongodb.comgithub.com/­sitewhere/­sitewhere
Technical documentationclickhouse.com/­docsdocs.influxdata.com/­influxdbgithub.com/­memcached/­memcached/­wikiwww.mongodb.com/­docs/­manualsitewhere1.sitewhere.io/­index.html
DeveloperClickhouse Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMongoDB, IncSiteWhere
Initial release20162013200320092010
Current releasev23.12.1.1368-stable, December 20232.7.5, January 20241.6.25, March 20246.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoBSD licenseOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageC++GoCC++Java
Server operating systemsFreeBSD
Linux
macOS
Linux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.predefined scheme
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnoyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.nonono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)SQL-like query languagenoRead-only SQL queries via the MongoDB Atlas SQL Interfaceno
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP API
JSON over UDP
Proprietary protocolGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
HTTP REST
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresyesnonoJavaScript
Triggersnononoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodeskey based and customSharding infoin enterprise version onlynoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.selectable replication factor infoin enterprise version onlynone infoRepcached, a Memcached patch, provides this functionallityMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integritynononono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.simple rights management via user accountsyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and rolesUsers with fine-grained authorization concept
More information provided by the system vendor
ClickHouseInfluxDBMemcachedMongoDBSiteWhere
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
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Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
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ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» 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.

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3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
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More resources
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