Get your ideas to market faster with a developer data platform built on the leading modern database. MongoDB makes working with data easy.
Get Started What You Can Do Build with MongoDB on AWS, Azure, and Google Cloud MongoDB Atlas makes it easy to deploy and manage databases on-demand when and where you need them. 1 Choose a cluster type. Play around with a free cluster, launch a serverless instance, or define a dedicat...
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Scales to support up to 500 ops/sec vCPUAtlas supports vertically and horizontally scaling the number of cores Shared Unlimited scaling With up to 96 vCPUs per shard Scales to support up to 500 ops/sec Automated failover between nodesAutomated failover provides redundancy and high availability ...
3、Portal 模块数据库读大于写,基于MongoDB读写方面的高性能,解决了高并发下系统卡顿问题。 4、TMS 系统模型之间关系复杂,采用传统关系数据库,势必增加一堆表。采用MongoDB,可以把复杂的模型,通过一个Doucment存储到一起。 基于MongoDB开发需要注意的问题
Get your ideas to market faster with a flexible, AI-ready database. MongoDB makes working with data easy.
当我们结束对 MongoDB 查询性能核心的介绍时,出现了一些关键的想法。数据库作为数字交互交响乐背后的沉默协调者,承载着令人难以置信的期望。它不再只是存储数据,而是以敏捷、高效和复杂的方式存储数据。MongoDB 以其非关系结构和智能机制,沉着应对这些挑战。
MongoDB是一个基于分布式文件存储的数据库。由C++语言编写。旨在为WEB应用提供可扩展的高性能数据存储解决方案。 MongoDB是一个介于关系数据库和非关系数据库之间的产品,是非关系数据库当中功能最丰富,最像关系数据库的。它支持的数据结构非常松散,是类似json的bson格式,因此可以存储比较复杂的数据类型。Mongo最大的特点...
按照压测报告所述,在隔离写入场景下,RedisJSON 比 MongoDB 快 5.4 倍,比 ElasticSearch 快 200 倍以上。隔离读取场景下,RedisJSON 比 MongoDB 快 12.7 倍,比 ElasticSearch 快 500 倍以上。
Database Manual 8.1 (upcoming) Docs Menu Ask MongoDB AI Rate This Page Docs Home / Database Manual Indexes support efficient execution of queries in MongoDB. Without indexes, MongoDB must scan every document in a collection to return query results. If an appropriate index exists for a query...