An overview of commonly used NoSQL databases.
We’ll cover the following
- Apache CouchDB
In the previous post , we discussed SQL databases that can be used to develop an efficient database-backed web application. Now, we will look into the NoSQL options that exist and discuss how NoSQL database management systems compare to SQL database management systems.
MongoDB, which is perhaps the most popular NoSQL DBMS, is an open-source non-relational database management system that has come to be known as the leading option when it comes to developing modern web applications.
The purpose for this is that MongoDB uses a record-based garage system that shops key-cost pairs and lets in for exceptionally green lookups, making statistics retrieval tons quicker and simpler than any usual SQL DBMS. To add to this, the document model ensures that statistics can be mapped directly to items within the application code, and is, consequently, makes information handling drastically clean by using disposing of the want for including code to procedure queried data.
In addition to this, MongoDB stores data in a highly flexible manner, thus allowing for fields to vary from document to document and the structure of data to be open to change over time.
Data can also be indexed and queried according to specific user requirements and then updated in real-time. This makes MongoDB an exceptionally powerful system for data analysis, and that shows in its popularity.
However, the maximum critical element of exceptional that MongoDB covers is reliability; MongoDB is a distributed database at its core because of this that it’s miles to be had, scalable, and effortlessly distributable throughout places, as a consequence making it nicely prepared for modern-day applications that require short get admission to to facts at all times.
MongoDB commands are fairly simple and easy to learn. Given below is an example that creates a new database called newDB:
The simplicity and ease of use of MongoDB show for why it has become so popular in recent times and it is, therefore, an essential tool to learn before you delve into web development.
CouchDB is an open-source NoSQL database management system that aims primarily to provide ease of use. CouchDB combines an intuitive document storage model with a powerful query engine to allow users to store their data safely on personal servers or with any leading cloud provider.
In addition to this, CouchDB not best has the potential to store all forms of information, however it additionally allows web packages to easily extract this records while not having to feature translational commands since CouchDB helps the formatting internet packages generally use.
Redis is an open-source in-memory data structure store that is often used as a database. It supports all kinds of data structures ranging from strings, hashes, lists, and sets to sorted sets with range queries, bitmaps, hyperloglogs, and geospatial indexes with radius queries and streams.
This manner that Redis affords a wide style of data structures that may be used to save your utility records within the maximum optimal manner according to how the information is structured. In addition to this, due to the fact Redis stores records in-memory, it lets in for immediate information retrievals and, consequently, appreciably accelerates the procedure of responding to user requests.
That concludes the discussion on popular NoSQL database management systems. As we have already seen, there are certain limitations to relying completely on databases in your web applications that NoSQL counter by caching and in the next lesson, we will be discussing caching as an approach to optimize data storage on web applications in further detail.
Also Read – https://codingtimes.in/sql-databases/
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