"Our internal platform is totally based on Kafka communication between all the pillars, so it’s like a nervous system for us."

"Tracking the number of orders per second using ksqlDB is very crucial to us, so we can monitor the use and health of the platform in real time."

"A key advantage of Confluent Cloud in delivering AutoExtract is time to market. We didn’t have to set up a Kafka cluster ourselves or wait for our infrastructure team to do it for us. With Confluent Cloud we quickly had a state-of-the-art Kafka cluster up and running perfectly smoothly. And …

“Handing off the operational responsibility for Kafka to someone was, to King, comparable to leaving your kid at kindergarten for the first time. You really need to trust that other party to take good care of your baby.”

"Confluent has become a lynchpin to harness Apache Kafka® for improved operational transparency and timely data-driven decisions."

"We needed a real-time event streaming architecture to improve the time to market for new apps and reduce the time it takes to stand up and build new clusters and transform a couple of key use cases. Confluent Platform is really helping us, enabling us to move the data in …

"With Kafka, we can liberate data from our heritage systems and combine it with real-time signals from our customers to deliver a hyper-personalized experience. For example, if our clickstream data shows a customer lingering over a product they looked at in the past, we can push a voucher to them …

“Confluent provides exactly what we dreamed of: an ecosystem of tools to source and sink data from data streams. It's provided us not only with great data pipeline agility and flexibility but also a highly simplified infrastructure thats allowed us to reduce costs.”

"Confluent has really been an accelerant to the work that my team does."

“Ultimately it comes down to support. When I call Confluent, I know I’m already going to be talking to a Kafka expert. They don’t have to go find someone. And that matters when minutes or even seconds are on the line for uptime.”

"Confluent and Google Cloud enabled us to address our large database footprint and retire our legacy data platform, which was in many ways our Achilles heel. After moving to real-time streaming on a cloud-based modern architecture, we can now deliver new features and capabilities to our customers and know that …

“When it comes to batch processing versus stream processing, both of them work. But one is a much more efficient way of doing it. A lot of the cost savings over the last twelve months has come from moving into a more efficient way of developing applications with stream processing.”

“We looked at building our own architecture, but we’d much rather consume services than build our own complex Kafka infrastructure. And you [Confluent] invented Kafka, so obviously we just went with that.”

"With KSQL we can offer our enterprise customers and third-party service providers an accessible tool that lets anyone write simple SQL queries in order to prepare the data themselves, without getting engineers or developers involved, helping them achieve shorter time-to-market while also supporting more adaptive data models."

"Using KSQL and Kafka Streams we have the ability to prepare data in complex structured formats for synching to external systems. We’ve also created a Kafka Streams app that continuously compares the desired and actual state of the data in those systems, and computes an optimal set of API calls …