"A key advantage of Confluent Cloud in delivering AutoExtract is time to market. We didn’t have to set up a Kafka cluster ourselves or wait for our infrastructure team to do it for us. With Confluent Cloud we quickly had a state-of-the-art Kafka cluster up and running perfectly smoothly. And if we run into any issues, we have experts at Confluent to help us look into them and resolve them. That puts us in a great position as a team and as a company."
“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.”
"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 in real time to create more compelling propositions for customers. You just can’t do that with a data lake and batch processing."
"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."
“Banks can’t expect to go on operating on outdated technology.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.”
"The developers saw the value in Confluent once we had Confluent engineers come in to review our designs. They saved us from making a lot of mistakes early on and helped us eliminate many bottlenecks.”
"We never use the excuse that ‘we’re learning’ to lessen our customers’ expectations of our digital services. Confluent expertise and Confluent Platform capabilities are helping us shorten the learning curve as Kafka takes on a larger role in our modern software architecture.”
"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."
"Confluent has been instrumental in the company’s ability to scale. It’s not unusual to have 25 million concurrent users for a live match, and on a daily basis seven to eight terabytes of data come into the platform. According to Disney+ Hotstar, powering so many use cases at this scale was made possible because of the real-time event streaming infrastructure that was built on Confluent Platform and Kafka."
"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.”
"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."
"Confluent Platform is not just about moving data, it’s about reliable, low-latency data delivery. Without it, near-real-time execution of machine learning models would not be possible for us."