MongoDB
FreemiumMulti-cloud document database and AI-ready data platform for building, scaling, and running modern applications
Информация об инструменте
Что такое MongoDB?
MongoDB provides a flexible document database and modern multi-cloud data platform that supports operational data, vectors, search, stream processing, and AI-powered applications. It is available as the fully managed Atlas cloud service or as self-managed Enterprise Advanced and Community Edition deployments.
Основные функции
Document Database
Agile and scalable document database that supports flexible schema evolution with no downtime, best-in-class security, horizontal scaling, and code-first development via a robust document model.
MongoDB Atlas
Fully managed multi-cloud database platform available in over 125 regions on AWS, Google Cloud, and Azure, delivering latest database features, automation, intelligent performance optimization, and services including Search, Vector Search, and Stream Processing.
Vector Search
Integrates operational and vector databases in a unified platform to enable semantic search, recommendation engines, Q&A systems, anomaly detection, and context provision for generative AI applications.
Stream Processing
Enables scalable event-driven applications that process high-velocity data streams from sources such as Apache Kafka using familiar MongoDB Aggregation Pipeline stages.
Search
Combines database, search engine, and sync mechanisms into one system for building catalog search, content search, and in-app search experiences with improved performance.
Enterprise Advanced
Self-managed solution for running MongoDB at scale on-premises or in private cloud environments, including database management tools, advanced security features, and enterprise-grade support.
Community Edition
Free version of MongoDB available for local development and installation on Windows, macOS, Linux, and Docker.
MongoDB Compass
Graphical user interface tool for working with MongoDB data.
MongoDB Atlas CLI
Developer tool for managing MongoDB Atlas, including Search and Vector Search, across the software development lifecycle with local development and testing support.
Варианты использования
- #1
Artificial Intelligence and Generative AI
Build intelligent applications using vector representations for semantic search, recommendation engines, Q&A systems, anomaly detection, and generative AI context within a unified operational and vector platform.
- #2
Operational Workloads
Optimize write performance with a document data model that maps to application access patterns and support a wide range of queries from simple lookups to complex analytics pipelines via a single query API.
- #3
Transactional Applications
Deliver millisecond response times at scale using a flexible document model with secondary indexing, joins, multi-document ACID transactions, and rich query capabilities.
- #4
Search Experiences
Implement catalog, content, and in-app search by combining database, search engine, and synchronization in a single system.
- #5
Event-Driven Stream Processing
Create scalable applications that react to high-velocity data streams from Apache Kafka and similar sources in near real-time.
- #6
Application Modernization and Migration
Modernize applications and migrate from relational databases to MongoDB using tools such as Relational Migrator and MongoDB AMP.
Тарифные планы
MongoDB Atlas can be started for free in minutes. Community Edition is free to download for local development. Enterprise Advanced and higher-tier Atlas deployments are paid offerings; detailed pricing is referenced via a pricing page and FAQ but not fully specified on the provided product and home pages.
Альтернативы
Часто задаваемые вопросы
What is MongoDB?
Is MongoDB free to use?
What platforms does MongoDB support?
What is MongoDB Atlas?
How does MongoDB support AI and generative AI applications?
Can MongoDB process streaming data?
MongoDB Контакты и социальные сети
- Поддержка
- Веб-сайт:
- GitHub
Отзывы
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