Technology
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.
Readings in Streaming Database Systems
What will the next important category of databases look like? For decades, relational databases were the undisputed home of data. They powered everything: from websites to analytics, from customer data […]
Stream Governance – How it Works
At the recent Kafka Summit, Confluent announced the general availability of Stream Governance–the industry’s only governance suite for data in motion. Offered as a fully managed cloud solution, it delivers […]
A Guide to Kafka Streams and Its Uses
Kafka Streams is an abstraction over Apache Kafka® producers and consumers that lets you forget about low-level details and focus on processing your Kafka data. You could of course write […]
Using ksqlDB for Real-Time Lead Management and Reporting at Leadnomics
How do you continuously process half a terabyte of data in real time? That’s the exact question we had to answer. Leadnomics is a digital marketing company that helps companies […]
Spring for Apache Kafka 101
Extensive out-of-the-box functionality, a large user community, and up-to-date, cloud-native features make Spring and its libraries a strong option for anchoring your Apache Kafka® and Confluent Cloud based microservices architecture. […]
Confluent’s Oracle CDC Connector Now Supports Oracle Database 19c
Many Oracle Database customers currently still leverage Oracle 12c or 18c in their production environments, with some even using Oracle 11g. Most of these customers have moved to 19c or […]
Apache Kafka and R: Real-Time Prediction and Model (Re)training
Machine learning on real-time data is a powerful combination because you gain direct insights into your data, can make powerful decisions, and consequently improve your business processes and outcomes. It […]
Introducing Single Message Transforms and New Connector Features on Confluent Cloud
Data silos across an organization are common, with valuable business insights waiting to be uncovered. This is why at Confluent we built a portfolio of fully managed connectors to enable […]
Extracting Value from IoT Using Azure Cosmos DB, Azure Synapse Analytics, and Confluent Cloud
Today, an organization’s strategic objective is to deliver innovations for a connected life and to improve the quality of life worldwide. With connected devices comes data, and with data comes […]
Trigger AWS Lambda Functions Directly from an Apache Kafka Topic
The distributed architecture of Apache Kafka® can cause the operational burden of managing it to quickly become a limiting factor for adoption and developer agility. For this reason, it is […]
Announcing ksqlDB 0.21.0
We’re pleased to announce ksqlDB 0.21.0! This release includes a major upgrade to ksqlDB’s foreign-key joins, the new data type BYTES, and a new ARRAY_CONCAT function. All of these features […]
What’s New in Apache Kafka 3.0.0
I’m pleased to announce the release of Apache Kafka 3.0 on behalf of the Apache Kafka® community. Apache Kafka 3.0 is a major release in more ways than one. Apache […]
Getting Started with GraphQL and Apache Kafka
GraphQL and Apache Kafka® are sometimes troubled with misconceptions. One of the reasons for this is that people are often familiar with one but not the other. GraphQL is mostly […]
Confluent Unlocks the Full Power of Event Streams with Stream Governance
Data governance initiatives aim to manage the availability, integrity, and security of data used across an organization. With the explosion in volume, variety, and velocity of data powering the modern […]