"With Confluent Cloud, we can now provide operational data in real time to any team that needs it. This is really powerful and significantly reduces our operational burden."
"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 it in ways that you display to end users—whether they be traders, salespeople, managers—and you provide them analytics across that data, it's extremely powerful."
“We moved to Confluent Platform because we needed a platform that was stable and could scale easily, and it has security features that we couldn't find from other platforms."
"By capturing events all along the food value chain, processing those events in Confluent Cloud and sharing insights with interested parties throughout the chain, we are not only increasing the value we provide but also making food production as a whole more intelligent and efficient."
"Confluent Cloud has become a vital service for us—the 100% availability and uptime have significantly benefited both our organization and our valued customers."
”The visual representation of data sources and topics with Stream Lineage is very helpful because a lot of time, the idea of streaming is new and this makes it possible to have discussions about where data is coming from and how it’s moving. I can’t stress enough how nice it is to have it be stable, always work, and always be there.”
"In our mixed world of Java and .NET server side code, Confluent has emerged as a key technical partner for Surescripts in support of our Kafka technology."
"We know that Confluent Platform and Apache Kafka will continue to help us scale."
"If you want more compute, it just shows up out of nowhere. With Confluent, it’s taken care of."
"With Confluent, we have a much more flexible architecture that makes it possible for our teams to operate more independently, and that ultimately leads to greater speed across the organization. We’re removing technology barriers and getting data to the teams that need it faster, and that’s enabling us to take advantage of new opportunities and implement new experiences that will help our IBOs and customers."
“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.”
"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."
"Continuous improvement is part of our culture at KeyBank, and the adoption of Confluent is a good example of our commitment to staying a technology leader within the banking industry."
"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."