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DBMS > Kdb vs. MongoDB vs. Realm

System Properties Comparison Kdb vs. MongoDB vs. Realm

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonMongoDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionHigh performance Time Series DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelTime Series DBMS
Vector DBMS
Document storeDocument store
Secondary database modelsRelational 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
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score423.96
Rank#5  Overall
#1  Document stores
Score7.71
Rank#52  Overall
#9  Document stores
Websitekx.comwww.mongodb.comrealm.io
Technical documentationcode.kx.comwww.mongodb.com/­docs/­manualrealm.io/­docs
DeveloperKx Systems, a division of First Derivatives plcMongoDB, IncRealm, acquired by MongoDB in May 2019
Initial release2000 infokdb was released 2000, kdb+ in 200320092014
Current release3.6, May 20186.0.7, June 2023
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen 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
Cloud-based only infoOnly available as a cloud servicenono 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.
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 languageqC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-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
Typing infopredefined data types such as float or dateyesyes 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.yesno
Secondary indexesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSQL-like query language (q)Read-only SQL queries via the MongoDB Atlas SQL Interfaceno
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
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
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functionsJavaScriptno inforuns within the applications so server-side scripts are unnecessary
Triggersyes infowith viewsyes infoin MongoDB Atlas onlyyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingyesno
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 integrityyesno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
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 3.2yes infoIn-Memory realm
User concepts infoAccess controlrights management via user accountsAccess rights for users and rolesyes
More information provided by the system vendor
KdbMongoDBRealm
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsupon request
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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KdbMongoDBRealm
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Conferences, events and webinars

Intro to MongoDB
Webinar, 11am ET, 1 May 2024

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