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Using ML Predictions in Mobile Apps With Couchbase Lite’s Predictive Query API

Couchbase Lite is a full-fledged NoSQL JSON document database for mobile and desktop applications. Couchbase Lite’s Predictive Query API allows applications to leverage pre-trained, Machine Learning(ML) models to run predictive queries against data stored in application's local Couchbase Lite database in a convenient, fast and always-available way. These predictions can be combined with predictions made against real-time data captured by your app to enable a range of compelling applications. 

In this post, I provide an overview of the feature including context around why we built it and the kinds of applications that it can enable. I also demonstrate the use of the Predictive API with an example. 

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Best Practices and Patterns With Couchbase Mobile: Part 2

Couchbase established

Couchbase Mobile enables a wide range of offline-first use cases of varying degrees of scale and complexity. In an earlier post, I discussed common patterns while using Couchbase Lite as an embedded NoSQL data store within your apps. Those patterns focused on local data storage. In this blog post, we discuss a few common patterns and best practices as it relates to syncing data with the Sync Gateway. This post assumes that you are familiar with the fundamentals of Couchbase Mobile. If you need a primer, check out the docs on Couchbase Lite and Sync Gateway.

Looking for Part 1? Head on over here and check it out!.

Pattern 1: Keeping the Data Up-to-Sync While the App Is in the Background

couchbase mobile app background

Backgrounding support on mobile apps varies drastically by the platform. In fact, on certain platforms such as Android, the concept of “backgrounded apps” is quite nebulous/complicated. So how you would sync data while your app is in the background is very much platform-dependent. You can find a discussion on how Couchbase Lite reacts to the app life cycle on iOS, Android, and Windows in our documentation.

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Best Practices and Common Patterns With Couchbase Mobile: Part 1

Since the first official release in 2014, Couchbase Mobile has enabled a wide variety of use cases of varying degrees of scale and complexity. Despite the variation, there are some common usage patterns for using Couchbase Mobile.

I have put together a series of blog posts that cover some common usage patterns and tips and recommended practices for addressing these use cases. In this blog post, we discuss common patterns if you are developing apps with Couchbase Lite. This post assumes that you are familiar with the fundamentals of Couchbase Mobile. If you need a primer, check out the docs on Couchbase Lite.