"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 …

“We relied on batch processes to roll all this data up to a data warehouse, but those processes were taking longer and longer to complete. If they failed and had to be restarted, we were at risk of clients not seeing up-to-date data when they logged in and the entire …

“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.”

“We started out managing our own Kafka clusters, but as soon as we got to scale, we realised it would be too inefficient and expensive for us to keep self-managing. Thankfully, with Confluent, we get fully managed products and services that go beyond just infrastructure; they help us scale Kafka, …

"Data streaming is quickly becoming the central nervous system of our infrastructure as it powers real-time customer experiences across our 12 countries of operations. Stream Designer’s low-code, visual interface will enable more developers, across our entire organization, to leverage data in motion. With a unified, end-to-end view of our streaming …

“We're going up orders of magnitude on the volume of data that we want to transact over Confluent. By having a partner like Confluent, we can start generating value from our network at an unimaginable level today.”

"We started with pay as you go, and had things up and running in about an hour. Confluent Cloud enabled us to defer the learning curve on running Kafka in-house. We currently don’t have the resources or bandwidth to host and manage clusters ourselves, so instead we have the experts …

"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."

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

"Kafka transforms even the most basic of initiatives. Adoption of Kafka at RBC has been massive and organic. Within the first six weeks after our launch of Kafka, we had 37 teams asking to use Kafka for various projects and initiatives."

"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."

“Confluent provides exactly what we dreamed of: an ecosystem of tools to source and sink data from data streams. It's provided us not only with great data pipeline agility and flexibility but also a highly simplified infrastructure thats allowed us to reduce costs.”

"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 …

“We started using the open source version of Kafka a few years ago, but quickly realised we were coming to the limit of what we could achieve in terms of offering Kafka as a professional service to our product development team. Equally, we lack the sheer number of people to …

"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."