How the Retailer Intersport uses Apache Kafka as Database with Compacted Topic

Compacted Topic is a feature of Apache Kafka to persist and query the latest up-to-date event of a Kafka Topic. The log compaction and key/value search is simple, cost-efficient and scalable. This blog post shows in a success story of Intersport how some use cases store data long term in Kafka with no other database. The retailer requires accurate stock info across the supply chain, including the point of sale (POS) in all international stores.

(Originally posted on Kai Waehner’s blog: “How the Retailer Intersport uses Apache Kafka as Database with Compacted Topic”… Join the data streaming community and stay informed about new blog posts by subscribing to my newsletter)

What is Intersport?

Intersport International Corporation GmbH, commonly known as Intersport, is headquartered in Bern, Switzerland, but its roots trace back to Austria. Intersport is a global sporting goods retail group that operates a network of stores selling sports equipment, apparel, and related products. It is one of the world’s largest sporting goods retailers and has a presence in many countries around the world.

Intersport stores typically offer a wide range of products for various sports and outdoor activities, including sports clothing, footwear…