Systems | Development | Analytics | API | Testing

Build, Manage, and Monitor Data Streaming Applications, All Within Your Favorite IDE

Today, we’re excited to announce the Early Access Program for Confluent for VS Code! Confluent has integrated support for Visual Studio with Confluent for VS Code that streamlines workflows, accelerates development cycles, and enhances real-time data processing, all within a unified environment.

The Confluent Q3 '24 Launch

The Confluent Q3 ’24 Launch is packed with the new features and tools needed to make stream processing a developer’s best friend. We’re also introducing Client-Side Field Level Encryption, WarpStream, and more! Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

Real-Time Insurance Claims Processing With Confluent

The insurance industry has undergone a massive transformation over the last 20-30 years. Customer service and business processes that were once done on paper or over the phone are now completed via web and mobile experiences. As a result, manual paperwork and tasks have gradually become automated via software solutions. For the insurance customer, this transition has led to faster and more predictable experiences.

New research from Confluent sees IT leaders share their biggest AI implementation challenges

12th September 2024 - Skills shortages are the #1 challenge facing IT leaders looking to implement artificial intelligence in 2024. That's according to research from Confluent, released ahead of this year's BigData LDN event. The research, which surveyed over 500 UK IT leaders, explores the top challenges facing IT departments when it comes to adopting and implementing AI.

Shift left to write data once, read as tables or streams

Shift Left is a rethink of how we circulate, share and manage data in our organizations using DataStreams, Change Data Capture, FlinkSQL and Tableflow. It addresses the challenges with multi-hop and medallion architectures using batch pipelines by shifting the data preparation, cleaning and schemas to the point where data is created and as a result, you can build fresh trustworthy datasets as streams for operational use cases or Apache Iceberg tables for analytical use cases.

How to source data from AWS DynamoDB to Confluent using DynamoDB Streams and AWS Lambda

This is a one-minute video showing an animated architectural diagram of the integration between Amazon DynamoDB and Confluent Cloud using DynamoDB Streams and AWS Lambda. Details of the integration are provided via narration.

How Developers Can Use Generative AI to Improve Data Quality

It sounds counterintuitive—using a technology that has trust issues to create more trustworthy data. But smart engineers can put generative AI to work to improve the quality of their data, allowing them to build more accurate and trustworthy AI-powered applications.

Confluent + WarpStream = Large-Scale Streaming in your Cloud

I’m excited to announce that Confluent has acquired WarpStream, an innovative Kafka-compatible streaming solution with a unique architecture. We’re excited to be adding their product to our portfolio alongside Confluent Platform and Confluent Cloud to serve customers who want a cloud-native streaming offering in their own cloud account.