141 Confluent Testimonials

"We knew we needed to rethink how we processed our data. With Confluent, we’ve got a usage-based data streaming platform where we can develop features, expand into new markets, and create seamless customer experiences based on real-time data."

“Kafka is the right solution for us. It’s the de facto standard for streaming analytics, and it gives us massive horizontal scalability in a multi-tenanted environment. Confluent Platform meets our high standards for compliance, security, and resiliency. We confidently selected Kafka to address our mission-critical customer requirements.”

"This solution uses multiple features of Confluent Platform. We structure the data from our Cassandra databases using a model stored in Schema Registry, and we use Confluent Replicator to replicate topics across multiple datacenters."

"From a technology perspective at KeyBank, we want to continue to invest in new platforms that deliver new capabilities and improve our ability to deliver faster. When we saw the demand for harnessing data in motion growing, working with Confluent and investing in our center of excellence enabled us to implement a solution in a way that best benefits the enterprise by reducing complexity, costs, and time to market."

"With Confluent Platform we’re making data available via event streams, which means integration between systems is now a much lighter lift. A project that would take three months if we were working on the integration from both sides, will take significantly less time and effort because we only need to develop and test the consumer side.”

"As we continue to break key functionality out of our monolith, we are opening up new possibilities for application components to integrate with other components and third-party applications. This simply would not have been possible for us before the introduction of Confluent Platform."

“With Flink, we now have the opportunity to shift left and do a lot of early data transformations and computation on our data before it reaches Snowflake. This will optimize our data processing costs to increase the amount of data we have available.”

“With Confluent, we have a data streaming platform that’s been quick to set up, where configuration is automated, and with zero maintenance tasks so we can focus on processing logic.”

"One of the things we did right on this project was work with Confluent early on."

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

“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.”

“Banks can’t expect to go on operating on outdated technology. Traditional banks can’t expect to move into the future without using data in real time. Confluent helps us set our data in motion.”

“What’s needed is a highly scalable and agile data platform with loosely coupled architecture that will enable you to build applications on top of it with the resilience and reliability that banks need and regulators require"

“First, the cost and risk of making changes to large monolithic applications is prohibitive. Second, you end up with your data locked up in a particular technology and vendor, which can be very challenging to evolve.”

"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."