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DBMS > MongoDB

MongoDB Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit MongoDB zu vergleichen.

Unsere Besucher vergleichen MongoDB oft mit PostgreSQL, Cassandra und MySQL.

Redaktionelle Informationen bereitgestellt von DB-Engines
KurzbeschreibungEiner der meistverwendeten Document Stores
Primäres DatenbankmodellDocument Store
Sekundäre DatenbankmodelleSpatial DBMS
Suchmaschine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vektor DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Rang#5  Overall
#1  Document Stores
Technische Dokumentationwww.mongodb.com/­docs/­manual
EntwicklerMongoDB, Inc
Aktuelle Version6.0.7, Juni 2023
Lizenz infoCommercial or Open SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS Angebote (gesponserte 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.
Server BetriebssystemeLinux
Datenschemaschemafrei infoObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Struktur
Typisierung infovordefinierte Datentypen, z.B. float oder dateja infostring, integer, double, decimal, boolean, date, object_id, geospatial
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs und andere ZugriffskonzepteGraphQL
Proprietäres Protokoll basierend auf JSON
Unterstützte ProgrammiersprachenActionscript infoinoffizielle Driver
Clojure infoinoffizielle Driver
ColdFusion infoinoffizielle Driver
D infoinoffizielle Driver
Dart infoinoffizielle Driver
Delphi infoinoffizielle Driver
Groovy infoinoffizielle Driver
Lisp infoinoffizielle Driver
Lua infoinoffizielle Driver
MatLab infoinoffizielle Driver
PowerShell infoinoffizielle Driver
Prolog infoinoffizielle Driver
R infoinoffizielle Driver
Smalltalk infoinoffizielle Driver
Server-seitige Scripts infoStored ProceduresJavaScript
Triggersja infoin MongoDB Atlas only
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source deployments with MongoDB Atlas Global Clusters
Source-Replica Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Fremdschlüssel inforeferenzielle Integritätnein infoNormalerweise nicht gebraucht, abgeschwächte Variante mit DBRef
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenMulti-document ACID Transactions with snapshot isolation
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja infooptional, enabled by default
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infoIn-memory storage engine introduced with MongoDB version 3.2
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
Specific characteristics

MongoDB provides an integrated suite of cloud database and data services to accelerate and simplify how developers build with data.

MongoDB has been one of the fastest growing databases over the past decade in DB-Engines Rankings, and is consistently rated as one of the databases developers most want to use in Stack Overflow's annual developer survey. 

Developers love working with MongoDB because they:

  1. Develop faster with the document model: MongoDB's JSON-like document data model maps to the objects in your application code. Its flexibility allows you to model data of any structure – from the vast diversity of regular application data to vector embeddings composed of several thousand dimensions. Any of these structures can be modified at any time. 
  2. Work with data as code for any use case. MongoDB's unified query API is the most natural way to work with data in any form. Atlas extends MongoDB's flexibility and ease of use to building AI-enriched apps with in-app intelligence, semantic and  keyword search, time-series and geospatial applications, and streaming, event-driven services. 
  3. Perform securely at any scale. MongoDB's distributed systems foundation means you cn scale-out your database on-demand, with full redundancy and built-in, always-on security controls
Competitive advantages

Built around the flexible document data model and unified API, MongoDB is a developer data platform, designed to work with data any way your application needs. Working with data in-motion and data at-rest, MongoDB Atlas provides all of the core data services that enable developers to build any class of modern, intelligent software.

MongoDB has been named a leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems, and as a leader in the Forrester WaveTM: Translytical Data Platforms, Q4 2022

MongoDB University offers no cost training for developers and operations teams for all of MongoDB's products

  • Atlas Database: A transactional multi-cloud database service built for operational applications demanding the highest levels of resilience, scale, data privacy, and security.
  • Atlas Vector Search: Build intelligent applications powered by semantic search and generative AI over any type of data.
  • Atlas Search: Build fast, relevance-based keyword search directly into an app without the need for a bolt-on search engine.
  • Atlas Stream Processing: Easily create applications that leverage streaming data. Developers can continuously process and analyze streams of complex data using the same MongoDB drivers, query API, and flexible data model they use for the database.  
  • Atlas Charts: Bring your data to life and get real-time insights with embeddable dashboards and visualizations.
  • Atlas Data Lake: A fully managed storage solution that provides the economics of cloud object storage and is optimized for analytical queries
  • Atlas Data Federation: Seamlessly query, transform, and aggregate data from one or more Atlas databases and cloud object storage offerings
  • Atlas Online Archive: Tier aged data from Atlas databases to fully managed object storage and query it through a single endpoint.
  • Atlas App Services: APIs, Triggers, Functions to build apps, integrate services, and connect to your data without operational overhead.
  • Atlas Device Sync: Keep your data up-to-date across devices, users, and your backend
Typical application scenarios
Key customers

ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN, City of Chicago, Coinbase, Department of Veteran Affairs, Department of Works and Pensions, eBay, eHarmony, Electronic Arts, Elsevier, Epic Games, Expedia, Forbes, Foursquare, Gap, Genentech, HSBC, Jaguar Land Rover, KPMG, MetLife, Morgan Stanley, Nationwide, Nat West, OTTO, Pearson, Porsche, RBS, Sage, Salesforce, SAP, Sega, Sprinklr, Telefonica, The Weather Channel, Ticketmaster, Under Armour, Verizon Wireless, Vodafone, Volvo

See more MongoDB customers.

Market metrics
  • Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month handling tens of PBs of data, and serving hundreds of billions of queries every day.

  • MongoDB Atlas is available in 110+ cloud regions across AWS, Azure, and Google Cloud

  • 43,000+ customers in more than 100 countries around the world. Includes more than 50% of the Fortune 100

  • Named a leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems, and as a leader in the Forrester WaveTM: Translytical Data Platforms, Q4 2022

  • 1.5M+ registrations for MongoDB University courses

  • More than 1,000 technology and service partners

  • Highest placed non-relational database in DB Engines rankings  

Licensing and pricing models
Zugehörige Produkte und Dienstleistungen
CData: Connect to Big Data & NoSQL through standard Drivers.

Connect Apps, BI, & ETL Tools
to MongoDB

Easily connect BI, Analytics, Reporting, and Custom Apps
with Big Data & NoSQL databases.

Connect to Big Data & NoSQL databases without writing code! Our state-of-the-art Drivers let you read, write, and update big data sources through a standard database interface - just like using SQL Server. Trial downloads are available at www.cdata.com/drivers.

Big Data & NoSQL Drivers:
MongoDB, Google BigQuery, Cassandra,
and Other Big Data & Cloud sources ...
ODBC | JDBC | ADO.NET | SQL SSIS | BIZTALK | CLOUD | SYNC The Leading Provider of Big Data & NoSQL Drivers
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
Studio 3T: The world's favorite IDE for working with MongoDB

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
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