The new-age digital economy revolves around three key disruptive forces – Web, mobile, and Internet of Things (IoT). A new set of tools and technology is now needed to manage the overwhelming volume of data from these sources and glean actionable insights. When real-time data management and processing becomes a cause of concern with its demands on data processing speed, scalability, and availability, it is time to look beyond older RDBMS. This is precisely where NoSQL shows its forte.
NoSQL – the term brings with it, various terms that are in vogue today – Big Data, millions of pieces of content, and robust database to name a few. NoSQL provides multiple benefits for the enterprise client. These include scalability, flexibility, and huge data processing capacity. Because of this, the distributed and non-relational database system happens to be one of the most exciting backend options in this era of everything Big Data.
Interested to explore some leading NoSQL solutions? Then this article is worth a read for you.
The first name in this list is of MongoDB. As a document-oriented database using JSON-style data format, MongoDB happens to be an ideal option for content management, data storage in websites as well as caching applications. MongoDB also allows configuration for high availability and replication.
Apart from the characteristics mentioned above, this particular NoSQL database offers some additional benefits too
- high availability across LANs and WANs
- complete index support
- easy replication
- flexible data processing
- horizontal scaling
- deep tech support
This NoSQL database proves to be an incredible performing system.
Next, we look at CouchDB, a document-oriented ACID compliant database system offering data storage in the JSON format. Quite similar to MongoDB, this database stores website content, and data as well as provides catching. By offering a convenient and easy-to-use web administration console, it proves to be a handy option for web application developers.
Oh yes. Did we say it is also capable of implementing a Multi-Version Concurrency Control or MVCC?
RethinkDB is another notable addition to this list of amazing NoSQL databases. The database operates on the ReQL query language and allows the storage of JSON documents with a dynamic schematic structure. Additionally, the design of the database facilitates the pushing of real-time updates to applications for query results.
Getting down to the last one on the list
DynamoDB is created by Amazon.com and utilizes synchronous replications across multiple data centers. One of the unique features that distinguished DynamoDB from the rest of its contemporaries is the presence of throughput. The database offers developers the opportunity of purchasing the service depending on throughput and not on storage. Although the database does not offer automatic scaling, developers can achieve it through increased throughput requests.
Choosing the correct database will be critical to the success of your web application designing and development. Especially, in this age of Big Data analytics and BI revolution, opting for the appropriate NoSQL database will prove to be a significant decision in ensuring the success into your investment with Big Data infrastructure.
We would love to hear from you. Do write to us and let us know which of these NoSQL databases will be your choice of enterprise database systems for your company.