Spatial DBMS Suchmaschineintegrated Lucene index, currently in MongoDB Atlas only. Time Series DBMSTime Series Collections introduced in Release 5.0 Vektor DBMScurrently available in the MongoDB Atlas cloud service only
DB-Engines Rankingmisst die Popularität von Datenbankmanagement- systemen
Open Source MongoDB 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 Nur als Cloud-Service verfügbar
nein MongoDB available as DBaaS (MongoDB Atlas)
DBaaS Angebote (gesponserte Links) Database 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.
Implementierungssprache
C++
Server Betriebssysteme
Linux OS X Solaris Windows
Datenschema
schemafreiObwohl schemafrei haben Dokumente einer Collection dennoch häufig die selbe Struktur
Typisierung vordefinierte Datentypen, z.B. float oder date
ja string, integer, double, decimal, boolean, date, object_id, geospatial
ShardingPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
In-Memory Unterstützung Gibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu halten
ja In-memory storage engine introduced with MongoDB version 3.2
Berechtigungskonzept Zugriffskontrolle
Zugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
MongoDB
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:
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.
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.
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 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
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
MongoDB Atlas offers a fully-managed multi-cloud MongoDB as a service with dedicated clusters and serverless instances on ~110 regions across AWS, Azure, and Google Cloud
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.