MongoDB 5.0 comes with serverless instances and time-series data

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MongoDB is updating its document-oriented database. The updates will add enhancements like time series support and a preview of the serverless database offered through the cloud version of the MongoDB platform.

The MongoDB 5.0 release is not the only thing the company is excited to announce. It has also enhanced Atlas Data Lake, MongoDB Realm, and Atlas Search.

All this was announced on Tuesday, during its MongoDB.live event. As one of the most popular open-source databases in the world, the platform is often deployed to power transactional apps and analytics for finance, insurance, telecoms, and healthcare, among other industries.

The database

MongoDB is what’s known as a multimodal database, capable of handling many different types of apps and store data in multiple formats. Developers need this because it allows them to use a single query language and one consistent API (application programming interface) to build apps.

Version 5.0 is even more flexible, thanks to native support for time series data (refers to data points that are indexed, listed, or graphed using time order). The introduction of serverless instances in MongoDB Atlas means developers can access the infrastructure resources they need at all times.

Other enhancements

Atlas Data Lake is now integrated with MongoDB Charts, to make data visualization in MongoDB Atlas and Amazon S3 easier, without moving or transforming it first.

Atlas Search is enhanced with a new Function Scoring capability that can be used to apply mathematical formulas on fields within documents to influence the relevance (think popularity or distance).

MongoDB Realm, the serverless version of MongoDB designed to power mobile apps, now supports the Unity game engine, meaning it can be used to store game data, including scores and stats, that can then sync across devices.