Category: Tools & SDKs
How to Get Started with the Node.js SDK for Couchbase
Walk through the basic first steps of using the Node.js SDK with the latest features of Couchbase 7.0. Familiarity is assumed but expertise is not required.
![How to Build a Basic Mobile App with Android, Java & Couchbase Lite [Tutorial]](https://www.couchbase.com/blog/wp-content/uploads/sites/1/2021/08/build-simple-mobile-application-android-java-couchbase-lite-tutorial-800x280.jpg.webp)
How to Build a Basic Mobile App with Android, Java & Couchbase Lite [Tutorial]
Dig into this developer tutorial on how to create a simple mobile app using Android on Java and Couchbase Lite – and learn a bit about edge computing too.
The N1QL Query Language Now Supports Distributed ACID Transactions
Learn how to execute distributed ACID transactions in Couchbase with familiar SQL syntax using the latest capabilities of the N1QL query language.
Announcing Couchbase Server 7.0
Discover how Couchbase Server 7.0 delivers the strengths of RDBMS and the flexibility of NoSQL for enterprise applications built for bottom-line results.
How (and Why) to Use Couchbase as an XML Database
Find out how to use Eventing to transform Couchbase into an XML-capable database. This may sound too good to be true but trust us - it really does work!
4 Patterns for Microservices Architecture in Couchbase
This post focuses on microservice architecture data management and how Couchbase provides low latency, resilience, and scalability for your data layer.
Using the Java SDK for Couchbase: The Basics of Get & Upsert
This post will walk you through the basics of creating and fetching JSON documents in Couchbase using the Java SDK with minimalist code samples.
![How to Use Couchbase as a Machine Learning Model Store [Part 2 of 2]](https://www.couchbase.com/blog/wp-content/uploads/sites/1/2021/07/machine-learning-model-store-couchbase-data-platform-800x280.png.webp)
How to Use Couchbase as a Machine Learning Model Store [Part 2 of 2]
Learn how to use the Couchbase Data Platform as a ML model store – using binary or JSON – to meet the performance requirements of online machine learning.
Couchbase Autonomous Operator vs MongoDB Enterprise Kubernetes Operator
Discover the key differences between the Kubernetes Operators offered by Couchbase and MongoDB respectively – and which one best fits your enterprise needs.
![5 Use Cases for Real-Time Prediction Serving Systems with Couchbase [Part 1 of 2]](https://www.couchbase.com/blog/wp-content/uploads/sites/1/2021/07/machine-learning-real-time-prediction-serving-system-with-couchbase-800x280.jpg.webp)
5 Use Cases for Real-Time Prediction Serving Systems with Couchbase [Part 1 of 2]
Learn how Couchbase serves real-time machine learning predictions in production and the storage needs of an enterprise prediction serving system.
How to Build a Couchbase Autonomous Operator Proof of Concept
Discover how to quickly build a Proof of Concept (PoC) environment for the Couchbase Autonomous Operator for Kubernetes in this walkthrough developer guide.
Couchbase Mobile Offers Embedded Java Write Throughput and More
Learn how Couchbase Mobile helps Java developers build mobile applications with better write scalability, import processing & machine learning capabilities.
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