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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 Elasticsearch, Cassandra und Microsoft Azure Cosmos DB.

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NameMongoDB
KurzbeschreibungEiner der meistverwendeten Document Stores
Primäres DatenbankmodellDocument Store
Sekundäre DatenbankmodelleSuchmaschine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte412,09
Rang#5  Overall
#1  Document Stores
Websitewww.mongodb.com
Technische Dokumentationdocs.mongodb.com/­manual
EntwicklerMongoDB, Inc
Erscheinungsjahr2009
Aktuelle Version4.2, August 2019
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: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
ImplementierungsspracheC++
Server BetriebssystemeLinux
OS X
Solaris
Windows
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
Sekundärindizesja
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BI
APIs und andere ZugriffskonzepteProprietäres Protokoll basierend auf JSON
Unterstützte ProgrammiersprachenActionscript infoinoffizielle Driver
C
C#
C++
Clojure infoinoffizielle Driver
ColdFusion infoinoffizielle Driver
D infoinoffizielle Driver
Dart infoinoffizielle Driver
Delphi infoinoffizielle Driver
Erlang
Go
Groovy infoinoffizielle Driver
Haskell
Java
JavaScript
Lisp infoinoffizielle Driver
Lua infoinoffizielle Driver
MatLab infoinoffizielle Driver
Perl
PHP
PowerShell infoinoffizielle Driver
Prolog infoinoffizielle Driver
Python
R infoinoffizielle Driver
Ruby
Scala
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
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMaster-Slave Replikation
MapReduce infoBietet ein API für Map/Reduce Operationenja
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency infobei jedem Schreibvorgang individuell einstellbar
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
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
MongoDB
Specific characteristics

MongoDB is the leading modern, general purpose data platform, designed to unleash the power of software and data for developers and the applications they build. The world's most sophisticated organizations, from cutting-edge startups to the largest companies and government agencies, use MongoDB to create applications never before possible, at a fraction of the cost of legacy databases. MongoDB was also named a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019.

MongoDB is designed to meet the demands of modern apps with a technology foundation that enables you through:

1. The document data model - presenting you the best way to work with data.

2. A distributed systems design - allowing you to intelligently put data where you want it.

3. A unified experience that gives you the freedom to run anywhere - allowing you to future-proof your work and eliminate vendor lock-in.

MongoDB offers the fully managed, on-demand and global MongoDB Atlas service in the public cloud. Atlas enables customers to take advantage of MongoDB’s capabilities on AWS, Azure, or GCP without needing to deploy, operate, and scale the software or underlying infrastructure themselves. MongoDB Atlas is available through a pay-as-you-go model and billed on an hourly basis. It’s easy to get started – use a simple GUI or programmatic API calls to select the public cloud provider, region, instance size, and features you need.

The MongoDB Atlas Data Lake extends the power and productivity of MongoDB to offline analytics workloads. The Atlas Data Lake allows you to quickly and easily query data in any format on Amazon S3 (with other cloud providers coming), using the regular MongoDB Query Language and tools. With Atlas Data Lake you don’t have to move data anywhere, you can work with complex data immediately in its native form without first having to define a schema, and with its fully-managed, serverless architecture, you control costs and remove the operational burden.

The MongoDB Realm and Stitch Platform helps you build better fullstack apps faster. It offers easily configurable rules for accessing data and services directly from your application frontend, along with serverless functions to execute application logic. You can automatically sync data between the client and Atlas as the backend data layer. Through integrations with your code repositories you can develop locally and then seamlessly deploy version-controlled application updates to test and production.

The MongoDB Realm Database is used by over 100,000 developers and has been installed over 2 billion times, offering a fast, easy-to-use alternative to SQLite and Core Data. With support for complex queries, safe threading, a reactive architecture to create responsive and fluent UIs, encryption, and cross-platform support, developers can simplify their code and build powerful and engaging experiences on more devices.

Competitive advantages

The MongoDB Data Platform can be used by developers building OLTP and analytical apps. Through its design, MongoDB provides a technology foundation to meet the demands of modern apps, enabling developers to work with data wherever it lives: on device, in the application’s backend database and search engine, and in the data lake.

MongoDB maintains the most valuable features of relational databases: strong consistency, ACID transactions, expressive query language and secondary indexes. As a result, developers can build highly functional applications faster than NoSQL databases.

MongoDB provides the data model flexibility, elastic scalability, along with the performance and resilience of NoSQL databases. As a result, developers can continuously enhance applications, and deliver them at almost unlimited scale wherever they choose to run them.

Typical application scenarios

Review the MongoDB Use Case Guidance whitepaper to learn more about those use cases served by the MongoDB Data Platform, and where you should evaluate alternative solutions.

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, OTTO, Pearson, Porsche, RBS, Sage, Salesforce, SAP, Sega, Sprinklr, Telefonica, The Weather Channel, Ticketmaster, Under Armour, Verizon Wireless

See more MongoDB customers.

Market metrics
  • 70 million downloads (growing at more than 30 thousand downloads per day).

  • 15,000+ customers in more than 100 countries around the world. Includes more than 50% of the Fortune 100

  • Named a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 and the Forrester Wave™: Database-As-A-Service Q2 2019

  • 1M+ 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
  • MongoDB database server: Server-Side Public License (SSPL). Commercial licenses are also available from MongoDB, Inc.

  • MongoDB supported drivers: Apache License v2.0. Third parties have created over 30 drivers too; licenses will vary.

  • Documentation: Creative Commons.

  • MongoDB Atlas offers a fully-managed MongoDB as a service with convenient hourly billing on ~70 regions across AWS, Azure, and Google Cloud

  • MongoDB Atlas Data Lake is a fully managed data lake service with pricing based on data scanned, data transferred and data returned, delivered in a serverless model

  • MongoDB Enterprise Advanced is licensed via RAM Pools, that can be distributed across any number of server instances, or per physical server, per year. Includes 24x7 support, advanced management software and security integrations, commercial licensing, certifications and on-demand training.

  • MongoDB Stitch and Realm is the serverless application platform from MongoDB. 

  • The MongoDB Realm database is licensed under the Apache License v2.0. 

  • Consulting and training through MongoDB University are also available

Zugehörige Produkte und Dienstleistungen
Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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
Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.

Fully managed on AWS, Azure & DigitalOcean

The #1 MongoDB hosting platform with advanced monitoring, high availability, and full MongoDB admin access. Host on Shared or Dedicated servers, or in your own AWS or Azure account to save up to 75% on long-term hosting costs with Reserved Instances. Plans start at $10/GB.

Learn more about MongoDB DBaaS

•  MongoDB Cloud
•  MongoDB Pricing
•  Compare MongoDB Providers

Top MongoDB articles you might like

•  MongoDB vs. Cassandra
•  Which is the best MongoDB GUI?
•  Fast Paging with MongoDB

DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
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
MongoDB
DB-Engines Blog Posts

PostgreSQL is the DBMS of the Year 2018
2. Januar 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL moves up one rank at the expense of MongoDB
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