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DBMS > ClickHouse vs. MaxDB vs. MongoDB vs. Snowflake vs. SQream DB

System Properties Comparison ClickHouse vs. MaxDB vs. MongoDB vs. Snowflake vs. SQream DB

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMongoDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSQream DB  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.A robust and reliable RDBMS optimized to run all major SAP solutionsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureCloud-based data warehousing service for structured and semi-structured dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial 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
Score15.88
Rank#37  Overall
#22  Relational DBMS
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score410.24
Rank#5  Overall
#1  Document stores
Score133.72
Rank#7  Overall
#5  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websiteclickhouse.commaxdb.sap.comwww.mongodb.comwww.snowflake.comsqream.com
Technical documentationclickhouse.com/­docsmaxdb.sap.com/­documentationwww.mongodb.com/­docs/­manualdocs.snowflake.net/­manuals/­index.htmldocs.sqream.com
DeveloperClickhouse Inc.SAP, acquired from Software AG (Adabas-D) in 1997MongoDB, IncSnowflake Computing Inc.SQream Technologies
Initial release20161984200920142017
Current releasev24.6.2.17-stable, July 20247.9.10.12, February 20247.0.5, January 20242022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoLimited community edition freeOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)yesno
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.
  • 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.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++C++C++C++, CUDA, Haskell, Java, Scala
Server operating systemsFreeBSD
Linux
macOS
AIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeyesyesschema-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.yes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes, ANSI Standard SQL Types
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.nonoyes
Secondary indexesyesyesyesno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yesRead-only SQL queries via the MongoDB Atlas SQL Interfaceyesyes
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
ADO.NET
JDBC
ODBC
WebDAV
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
CLI Client
JDBC
ODBC
.Net
JDBC
ODBC
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
C#
Java
Perl
PHP
Python
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
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesJavaScriptuser defined functionsuser defined functions in Python
Triggersnoyesyes infoin MongoDB Atlas onlyno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodeskey based and customnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.yeshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Source-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes 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.fine grained access rights according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
ClickHouseMaxDB infoformerly named Adabas-DMongoDBSnowflakeSQream DB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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 partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
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CData: Connect to Big Data & NoSQL through standard Drivers.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ClickHouseMaxDB infoformerly named Adabas-DMongoDBSnowflakeSQream DB
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