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Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Unlock Cost Savings with Freight Clusters–Now in General Availability
Confluent Cloud Freight clusters are now Generally Available on AWS. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.
Contributing to Apache Kafka®: How to Write a KIP
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
Serverless Stream Processing with Apache Kafka, AWS Lambda, and ksqlDB
It seems like now more than ever developers are surrounded by a sea of terminology—but what does it really all mean? Here, we will take some often heard terms—some considered […]
Getting Started with Apache Kafka and Python
Welcome Pythonistas to the streaming data world centered around Apache Kafka®! If you’re using Python and ready to get hands-on with Kafka, then you’re in the right place. This blog […]
Introducing 18 New, Fully Managed Connectors in Confluent Cloud
In our February 2020 blog post Celebrating Over 100 Supported Apache Kafka® Connectors, we announced support for more than 100 connectors on Confluent Platform. Since then, we have been focused […]
How to Visualise Confluent Cloud Audit Log Data
At Confluent, we’re serious about security, and we’re focused on simplifying security visibility across our cloud and on-premises solution. This blog demonstrates how to monitor Confluent Cloud authorization events using […]
Best Tutorials for Getting Started with Apache Kafka
Each one of the more than 50 tutorials for Apache Kafka® on Confluent Developer answers a question that you might ask a knowledgeable friend or colleague about Kafka and its […]
A Guide to Stream Processing and ksqlDB Fundamentals
Event streaming applications are a powerful way to react to events as they happen and to take advantage of data while it is fresh. However, they can be a challenge […]
How to Efficiently Subscribe to a SQL Query for Changes
Imagine that you have real-time data about what’s happening in the stock market, and you want to support a large number of customized dashboards displaying the data as it comes […]
Announcing ksqlDB 0.22.0
We’re pleased to announce ksqlDB 0.22.0! This release includes source streams and source tables as well as improved pull query (for key-range predicates) and push query performance. All of these […]
Easily Copy or Migrate Schemas Anywhere with Schema Linking
Schema Linking is a new feature that’s available in preview for both Confluent Cloud and Confluent Platform 7.0 and can be used to complement Cluster Linking, in order to keep […]
Building Real-Time Hybrid Architectures with Cluster Linking and Confluent Platform 7.0
Companies are increasingly moving to the cloud, undergoing a transition that is often a multi-year journey across incremental stages. Along this journey, many companies embrace hybrid cloud architectures, either temporarily […]
Scaling Apache Druid for Real-Time Cloud Analytics at Confluent
How does Confluent provide fine-grained operational visibility to our customers throughout all of the multi-tenant services that we run in the cloud? At Confluent Cloud, we manage a large number […]
How Do You Change a Never-Ending Query?
There’s a philosophical puzzle of the Ship of Theseus where throughout a long voyage planks in a ship are individually replaced as they begin to rot. At the end, there […]
4 Key Design Principles and Guarantees of Streaming Databases
Classic relational database management systems (RDBMS) distribute and organize data in a relatively static storage layer. When queries are requested, they compute on the stored data and then return results […]
The Future of SQL: Databases Meet Stream Processing
SQL has proven to be an invaluable asset for most software engineers building software applications. Yet, the world as we know it has changed dramatically since SQL was created in […]