“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.”

“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 …

”With Confluent, it was easier for the team to set up, configure, and scale to support the increasing volume and throughput of the source systems we’re generating. This allowed us to build more microservices that are processing and aggregating data to deliver fit-for-purpose topics.”

"We know that Confluent Platform and Apache Kafka will continue to help us scale."

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

"With Kafka, we can liberate data from our heritage systems and combine it with real-time signals from our customers to deliver a hyper-personalized experience. For example, if our clickstream data shows a customer lingering over a product they looked at in the past, we can push a voucher to them …

“We’re expecting to increase our bottom-line revenue growth via data infrastructure cost savings of 20 to 30 percent, and we expect to greatly reduce the complexity of our data infrastructure thanks to Confluent.”

"We had no technologies to replace or augment because we’d never used event streaming technology before. Some of our members from different groups had experience handling Apache Kafka, but they weren’t part of the bigger project to build a data streaming platform. Confluent had an ability to immediately offer enterprise-level …

“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."

”Confluent has given us a way to seamlessly handle data streaming—something we couldn’t achieve in two years of using standalone Kafka and various legacy technologies. This, in turn, has allowed us to incorporate microservices into our IT architecture to support each of our three business functions.”

"Confluent serves as a central nervous system connecting core ACERTUS systems, including our transportation management, title and registration, and car haul systems."

"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 …

"Confluent has really been an accelerant to the work that my team does."

“Ultimately it comes down to support. When I call Confluent, I know I’m already going to be talking to a Kafka expert. They don’t have to go find someone. And that matters when minutes or even seconds are on the line for uptime.”