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DBMS > KeyDB vs. Microsoft Azure Cosmos DB vs. MongoDB

System Properties Comparison KeyDB vs. Microsoft Azure Cosmos DB vs. MongoDB

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsGlobally distributed, horizontally scalable, multi-model database serviceOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#271  Overall
#46  Key-value stores
Score31.67
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score446.48
Rank#5  Overall
#1  Document stores
Websitegithub.com/­JohnSully/­KeyDB
keydb.dev
azure.microsoft.com/­services/­cosmos-dbwww.mongodb.com
Technical documentationdocs.keydb.dev/­docs/­introdocs.microsoft.com/­azure/­cosmos-dbdocs.mongodb.com/­manual
DeveloperEQ Alpha Technology Ltd.MicrosoftMongoDB, Inc
Initial release201920142009
Current release4.4.1, September 2020
License infoCommercial or Open SourceOpen Source infoBSD-3commercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC++C++
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
Data schemeschema-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.
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes infoJSON typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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
Secondary indexesyes infoby using the Redis Search moduleyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query languageRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Rust
Scala
Smalltalk infoinofficial driver
Swift
Server-side scripts infoStored proceduresLuaJavaScriptJavaScript
TriggersnoJavaScriptyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsMulti-item ACID transactions with snapshot isolation within a partitionMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlsimple password-based access control and ACLAccess rights can be defined down to the item levelAccess rights for users and roles
More information provided by the system vendor
KeyDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDB
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics125 million downloads (growing at more than 30 thousand downloads per day), over...
» 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.

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More resources
KeyDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMongoDB
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