MongoDB goes serverless with latest Atlas release

Popular NoSQL database provider MongoDB is jumping on the serverless computing bandwagon by offering the MongoDB Atlas database-as-a-service (DBaaS) option on a serverless basis for preview customers from today.

Serverless is an emerging cloud architecture which sees third-party providers dynamically allocate the compute and storage resources needed to execute a particular function, meaning developers no longer have to provision or manage their own servers and they only pay for when their functions execute.

“We want developers to be able to build MongoDB applications without having to think about database infrastructure or capacity management,” MongoDB CTO Mark Porter wrote in a blog post. “With serverless instances on MongoDB Atlas, now available in preview, you can automatically get the database resources you need based on your workload demand.”

For users, this means less decisions to make when launching a database. MongoDB will ask which cloud region you want to host your data in, from which Atlas will spin up an on-demand database endpoint which will dynamically flex depending on traffic levels and for which you will only pay per reads and writes.

What’s new in MongoDB 5.0

The vendor also announced the version 5.0 of the MongoDB database (you can read InfoWorld’s review of MongoDB 4.0 here), with new features including:

Other MongoDB announcements

MongoDB is also changing its release cadence for new versions of the database, starting MongoDB 5.0. From now on the vendor will publish quarterly releases, which will roll up into a major release once a year. 

Other announcements included a completely redesigned beta of the MongoDB Shell environment, the ability to visualize Atlas Data Lake and AWS S3 data using MongoDB Charts, and new native full-text search capability within Atlas, such as function scoring and the ability to define collections of synonyms for a common search index.