141 Confluent Testimonials

Industry
Company Size
15 per page
  • 15
Reset
  • "With Confluent, we have confidence in our Kafka deployment. Confluent engineers not only provide us with support, but they also share with us their deep knowledge of Kafka to help us make the most of our streaming use cases."

  • "When we think of a better healthcare ecosystem, we really need to think about the opportunity to exchange data in a seamless way, where all participants can freely integrate that data to help drive the outcomes and the experience within their organizations."

  • “Confluent made it possible for us to refactor our legacy monolith and disentangle BRIDE from it as part of the overall Roosevelt project. Confluent is a core part of our platform today; it will play an important role in the advanced analytics and knowledge management use cases that we have planned.”

  • "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we can now deliver new features and capabilities to our customers and know that they won’t be slowed by an outdated architecture."

  • “Although we had some experience running open source Kafka ourselves, we recognized that we needed a trusted partner to help us resolve issues that we’d encounter with a larger-scale deployment. Confluent not only had a local office to provide that support, they also had the best known, verified solution, which was what we wanted for our mission-critical e-commerce platforms.”

  • "Fans care about what seats are still available, how much do they cost, and what packages they can get with the tickets. And the venue wants to know who’s buying the tickets, are we having problems converting people, do we need to change the offering, or do we need to put another tour date on the calendar because this one is super popular. These are all different ways of looking at the same data. So we put all of this into an inventory stream which gets placed in a different data store for the various uses of that data. Confluent and Kafka have allowed us to get to the position where it’s now fairly low-friction for the data science team to roll out new capabilities with our data."

  • "Confluent enables us to see our data in motion, which was simply impossible with our existing systems... Much like the weather radar that shows how your situation has changed by the minute, seeing our data in motion with Confluent has enabled us to tackle long-standing business challenges, lower costs, and deliver improved customer experiences."

  • “We started wondering, can we offload all of the management of Kafka—and still get all of the benefits of Kafka? That’s when Confluent came into the picture.”

  • "It was a massive project, and a highly reliable message brokering infrastructure that could scale just by adding more nodes as our business needs changed was key to the entire effort."

  • "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 have been very satisfied with Confluent Platform as the backbone of our persistence engine. The platform has been super reliable. We have stringent requirements for real-time performance and reliability, and we have confirmed – from proof-of-concept to deployment of a cutting-edge production trading platform – that we made the right decision."

  • "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."

  • "With Confluent and Apache Kafka, we have quick access to the varying types of data allows us to move faster as a development team and allows us to respond more quickly to our users."

  • “The strength of the engineering team at Ladder really lies in making a great customer experience and automating business processes, rather than running a Kafka cluster. Putting our data in motion with Confluent allows us to focus on differentiating Ladder with automated underwriting built around machine learning models fed by real-time data.”

  • “We really wanted to have a centralized application and toolset where it didn’t matter what part of the company you were working on, what part of our technology you were working on, you had the same data that everyone else had. Instead of trying to build our own solution, we partnered with Confluent.”