Couchbase Introduces New Machine Learning Capabilities on Mobile Platform

Couchbase is releasing the latest version of Couchbase Mobile, an embedded NoSQL database, enabling developers to create mobile applications and manage data securely.

Couchbase Mobile 2.5 introduces new functionality for enterprises capitalizing on business-critical information at the edge with:

  • Predictive Queries for applications using ML2
  • Delta Synchronization for bandwidth constrained environments
  • Enhanced supportability

The new Predictive Query API allows mobile applications to use trained ML models to run predictive queries locally on mobile devices against stored data.

The predictions in the database can be correlated with predictions made in real-time from mobile cameras and other local context sources.

With delta sync, enterprises can realize bandwidth savings when synchronizing data between the mobile device and enterprise servers as well as with peer-to-peer sync between mobile devices.

This feature only syncs the individual parts of the document that have changed, resulting in significant reduction in network usage and faster sync time.

The enhanced supportability of Couchbase Mobile 2.5 introduces enhanced logging support as well as advanced stats reporting.  

“Since we initially launched Couchbase Mobile in 2014, the industry has come a long way in terms of fully understanding the true potential of data at the edge,” said Ravi Mayuram, Senior Vice President of Engineering and CTO, Couchbase. “What may have been seen as something nice to have back then has become a must-have today in order to provide rich interaction with customers at the point of engagement. It’s always an exciting time to release new versions of our products, but it’s especially exciting today because the market is finally catching up.”

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