141 Confluent Testimonials

"With our Kafka-backed data pipeline, we are able to support our partners, who every year create more services, more features, more data instrumentation, and even more granular data than the year before."

"When we started, Kafka was a new technology to us, and one that we had decided to use for a very critical application in our system. With Confluent we felt supported in our decision and we knew we had the right level of expertise to get prepared and to help if we encountered any issues. That was a key element in our success."

"We work with Confluent because it is extremely valuable to have access to experts who know the most about Apache Kafka. It’s that feeling of security that has paid off for us."

"Confluent Platform and Apache Kafka, by enabling us to build and deploy real-time event-driven systems for credit scoring, have helped BRI become the most profitable bank in Indonesia."

"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 needed to perform an update. As a result, we’ve reduced the stress on those external systems by up to 90%, increasing scalability and reliability."

"Confluent Cloud is the core infrastructure that is enabling us to realize our vision of having a single, always-up-to-date view of customer data and our vision of real-time self-optimizing journeys, which will maximize uplift by identifying the optimal campaign for each customer."

"Real-time inventory accuracy is just the foundation for much more than just inventory management; it enables retailers to improve post sales and supply chain processes as well as customer engagement and the customer experience. And beyond retail, the real-time asset tracking and supply chain management solutions we’ve built with Kafka and Confluent Cloud are opening opportunities across a wide range of industries including manufacturing, energy and healthcare."

"The level of credibility that Confluent has built in terms of modern, scalable and flexible stream processing does much of our blocking and tackling for us."

"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 more flexible and reliable ways."

“Confluent Cloud stands out for its focus on security, especially in highly regulated industries such as banking and healthcare.”

"The scale and robustness of the system we built with Confluent Cloud have played a key role in accelerating our success in our mission of discovering new treatments and has helped us bring new treatments to human clinical trials."

"We needed a partner to help us get RI-Platform up and running with maximum reliability. We decided to work with Confluent."

“We started out managing our own Kafka clusters, but as soon as we got to scale, we realised it would be too inefficient and expensive for us to keep self-managing. Thankfully, with Confluent, we get fully managed products and services that go beyond just infrastructure; they help us scale Kafka, handle upgrades, and solve problems when required.”

"Data streaming is quickly becoming the central nervous system of our infrastructure as it powers real-time customer experiences across our 12 countries of operations. Stream Designer’s low-code, visual interface will enable more developers, across our entire organization, to leverage data in motion. With a unified, end-to-end view of our streaming data pipelines, it will improve our developer productivity by making real-time applications, pipeline development, and troubleshooting much easier."