"In terms of hard costs, Confluent reduced our bottom line from the infrastructure cost perspective, reducing licensing and physical hardware. We reduced our projected yearly cost by 69%. And the months of planning we would have to put into meetings and seasonal projections are gone, so our management oversight is …

“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.”

"BHG is a fast moving company, and Confluent is quickly becoming not only a central highway for our data with their vast connector portfolio, but also a streaming transformation engine as well for a vast number of use cases. Confluent is at the core of everything we're doing right now. …

"In addition to providing the performance, scalability, and resiliency that we require for this critical piece of our architecture, Confluent provides the expertise and operational support that lets us focus on building features that are going to help our customers sell more vehicles."

"You have real-time data: stock prices, things that are ticking. You have data that's pretty static: terms and conditions, things like that. And then you have data that's updating periodically: things like position updates. If you can use a tool like Kafka to pull all that data together and combine …

“Banks can’t expect to go on operating on outdated technology.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.”

"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."

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

“Risk Focus’s expert knowledge of trading systems complemented Confluent’s expertise with Kafka-based architectures to successfully redesign this mission-critical system. Risk Focus’s attention to detail, combined with its iterative approach to software development, ensured that the client’s business needs would be met by the new streaming platform.”

“To have data streaming implemented at a global scale at L'Oréal called for a platform that’s reliable, can auto-scale depending on our need and can cater to our future growth—all while ensuring we get the utmost support we need. That’s why we invested in Confluent.”

"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."

“We can reflect station configuration changes in less than a second. It gives our customers peace of mind, and real-time data eliminates any guesswork.”

"There isn't another product that competes with Confluent. Streaming data as events enables completely new ways for solving problems at scale."