Confluent Blog

I’ve always found event sourcing to be fascinating. We spend so much of our lives as developers saving data in database tables—doing this in a completely different way seems almost

Data is the lifeblood of so much of what we build as software professionals, so it’s unsurprising that operations involving its transfer occupy the vast majority of developer time across

What if I told you there is a query your database can’t answer? That would probably surprise you. With decades of effort behind them, databases are one of the most

A fundamental challenge with today’s “data explosion” is finding the best answer to the question, “So where do I put my data?” while avoiding the longer-term problem of data warehouses,

ksqlDB, the event streaming database, is becoming one of the most popular ways to work with Apache Kafka®. Every day, we answer many questions about the project, but here’s a

Hybrid cloud architecture and accelerated cloud migrations are becoming the norm rather than the exception, as our increasingly digital world introduces certain challenges along the way, including modernizing existing application/architecture,

Building a Cloud ETL Pipeline on Confluent Cloud shows you how to build and deploy a data pipeline entirely in the cloud. However, not all databases can be in the

Using a declarative SQL-like interface, ksqlDB makes it easy to integrate event streaming applications into any tech stack. This article illustrates how ksqlDB was added to PushOwl’s Python tech stack,

What is stopping you from using Kafka Streams as your data layer for building applications? After all, it comes with fast, embedded RocksDB storage, takes care of redundancy for you,

Is event streaming or batch processing more efficient in data processing? Is an IoT system the same as a data analytics system, and a fast data system the same as