"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 support and that’s why we decided to team up with them."
"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 on Kafka doing that for us.”
“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 make it practical—and that’s where Confluent came in.”
"Real-time inventory accuracy is just the foundation for much more than just inventory management; it enables retailers to improve post sales and supply chain processes as well as customer engagement and the customer experience. And beyond retail, the real-time asset tracking and supply chain management solutions we’ve built with Kafka and Confluent Cloud are opening opportunities across a wide range of industries including manufacturing, energy and healthcare."
"The level of credibility that Confluent has built in terms of modern, scalable and flexible stream processing does much of our blocking and tackling for us."
"Running Kafka ourselves was a bit of a no-go given our team size and requirements. As a team we decided we wanted to focus on the technical functions of the platform. We wanted to spend more energy on these functionalities, and leave other things to Confluent who can do it better!"
“Kafka scales way better than most other data-exchange platforms, as it doesn’t use HTTP for data exchange and offers blazingly fast throughput out-of-the-box.”
“When we're using services like Confluent for data delivery, we don't need to think about it. It just gets delivered.”
"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."
“Everything we do is in real time because batch processing is an old way of thinking. The longer your data waits, the less value it has. So, as data comes through, you need to be able to act on it, or enrich it quickly. Confluent enables this for us.”
“The expectation these days is that banks should always be available. Customers constantly want real-time experiences. One of the best ways to facilitate that is by leveraging a platform like Confluent.”
"With Confluent Cloud, we have high-performance event streaming, with the ability to store events securely. This makes it possible for our deterministic matching engine and settlement system to go back in time and replay a sequence in order if we need to."
"Our experience with Confluent Support has been very positive. The response times have been quite fast. We’ve been able to isolate and resolve issues substantially faster than we could on our own, which definitely has helped our velocity."
"We needed a real-time event streaming architecture to improve the time to market for new apps and reduce the time it takes to stand up and build new clusters and transform a couple of key use cases. Confluent Platform is really helping us, enabling us to move the data in more flexible and reliable ways."