当前位置 博文首页 > weixin_ccjz9527的博客:如何可视化和了解您的mongodb数据
现代实时应用程序的基本支柱之一是它们的弹性。
因此,为应用程序选择数据库可能是一个真正的挑战。
不同的数据库设计有不同的用途,在这种情况下,关系数据库由于其严格的架构和对数据类型的约束而不能完全满足开发人员的需求。
可以通过使用灵活的数据库来提供弹性,该数据库能够处理大量非结构化数据,并在业务需求突然改变时增加/减少存储容量而不会造成损失。
因此,NoSQL数据库逐渐取代了关系数据库:它们的功能可以应对现代(通常是非结构化)数据的挑战。
MongoDB领先于所有其他NoSQL数据库,并满足在各个开发领域中快速,灵活地访问数据的业务需求,尤其是在实时数据占优势的地方。
好消息是从MongoDB 4开始就支持ACID事务。
0。
可以肯定的是,您可以检查数据库引擎多年来在数据库趋势方面排名的可信样条图,并将MongoDB的使用与其他数据库的使用进行比较。
让我们深入探讨MongoDB的技术方面及其优势。
MongoDB是一个面向文档的数据库。
这意味着所有数据都存储在类似JSON的文档中,这些文档又存储在集合中-与关系数据库中的表类似,但它们之间没有指定的关系。
它针对本地存储文档和其他类型的数据进行了优化。
我想指出MongoDB最引人注目的功能:
However, I should mention that there always existed a trade-off between flexibility and reliability. The latest usually involves ACID compliance and is provided by SQL databases. So it’s up to you what database to choose for your application — a relational or NoSQL one.
If your data is growing and changing its structure once in a while, the natural question arises: how to handle and process all of that data? Here comes in handy the functionality of NoSQL databases and MongoDB in particular. MongoDB is optimized for natively storing documents and their fast accessing by indexing, also, the replication is supported. Therefore it is much faster than its relational competitors. To enhance existing optimization, you can search for different techniques which include using WiredTiger engine, zone-based sharding, choosing short names for fields, etc.
The fact that MongoDB is in favor of such companies as Google, Cisco, SAP, Facebook, Expedia, and others speaks for itself. It is commonly used for real-time analytics, big data, mobile applications, etc. MongoDB is the best decision for unstructured and semi-unstructured data such as:
Besides, it greatly copes with storing structured data as well.
Whatever type of data you choose, sometimes it becomes necessary to visualize all the data or its part. When searching for MongoDB data visualization tool, I’ve noticed that it is hard to find the one with out-of-the-box functionality. So today I’ll give you a rundown of the tools which I’ve used together to visualize my data.