MongoDB focusses upon advanced features in its cloud services during the latest release as modern enterprises require their databases to be more robust in nature. Integrated full-text search is one of the prominent features to be included, which was announced during the MongoDB local event organized in London. Though the full-text search option was introduced in 2015, the integrated feature adds value because of the text search index’s ability to get synced with the database’s infrastructure and query API. The text indexes can be extended to multiple fields though each collection is restricted to a single index.
Database software development is in demand like never before with the increased availability of cloud integration features. A classic instance in this regard is the case of MongoDB which has put up record sales for the third quarter of the current financial year. MongoDB Atlas, the cloud database solution, has proved to an ideal fit for organizations of all sizes. Of late, the database has started providing support for AWS CloudFormation extending its profile diversity. It allows developers to make use of the collections enabled through AWS resources. It would be ideal whenever automating deployments matters the most.
MongoDB’s dynamic schema feature ensures that it is readily implementable across organizations because of its unique capability of handling unstructured data. At a time when the growth of other NoSQL databases has come to a standstill, the stars for MongoDB are shining brighter year after year because of its data management capabilities. Though unstructured data offers the dynamism adding more details whenever needed, there will be more pressure upon them with respect to scalability and adaptability. However, it is exactly where MongoDB makes all the difference with custom database architecture in accordance with the changing needs of the customers regarding storage and computing.
Gartner reports too achieved significance reflecting the sudden shift of mindsets towards NoSQL databases, especially MongoDB. Another major reason proving to be crucial enough regarding the immense popularity of the database is the release of many flavours. For instance, MongoDB Mobile extends the availability of applications on the go. Meanwhile, the setting up of triggers in real-time within databases is possible through MongoDB Stitch. Despite multiple features enabled and the current results post a pretty picture, the future appears to be not so bright. Realistically, modern-day users are smart enough in making calculative decisions regarding the best database that they need to go with.
The threat of cloud database management system makes the very existence of databases independently questionable. In fact, cloud service providers (CSPs) are increasingly reducing databases to mere component level. Differentiating itself from the rest of the NoSQL databases, there is a huge task cut out for MongoDB. There are steps being taken in this regard already. The addition of a data lake is something that is seen as a change during the process of digital transformation. With the likes of Microsoft and other bigshots embracing cloud database solutions rapidly, the demand for NoSQL databases will only increase. It is also the reason why MongoDB is being adopted across various domains for the past few years consistently.
