"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."

“To have data streaming implemented at a global scale at L'Oréal called for a platform that’s reliable, can auto-scale depending on our need and can cater to our future growth—all while ensuring we get the utmost support we need. That’s why we invested in Confluent.”

“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.”

”Data streaming helps us power key use cases—including real-time data warehousing for real-time analytics and adaptive bitrate streaming—where we can use real-time data to make timely decisions and deliver better experiences for our users. Ultimately, it makes us more profitable, so data streaming is extremely critical to our business and …

“This resulted in several challenges related to broker version upgrades, scaling, and data observability—resulting in unnecessary engineering bandwidth spent on managing the infrastructure versus time spent on working on the product,”

“Confluent is critical for how Vimeo instruments our product and how we make that information available across a multitude of different surface areas. Whether data is fed back into the product or into a pipeline for ML and AI teams, or the product team’s self-service tools to better understand how …

“With Confluent, we’ve achieved even more than what we’d hoped for just by being able to organize our information and make it flow without interruption. That was something mind-blowing for us, because our reality before was just the opposite—everything was difficult and manual and everything eventually broke. So we’ve gained …

"Kafka technology, combined with Confluent's enterprise features and high­-performance Intel architecture, support our mission to make it safe for Intel to go fast."

"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."

“With Confluent’s fully managed data streaming platform, we are able to focus on the business side of things, like governance and the metrics around data. As we are evaluating Confluent’s fully managed data streaming platform, we recognize that it will enable us to focus on the business side of things, …

"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 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 …

"Using Confluent’s out-of-the-box tools really helped us to focus on building new things, rather than solving problems in-house that have already been solved for us at scale by Confluent."

"It’s amazing how much more we can get done when we don’t have to worry about exactly how to do things. We can trust Confluent to offer a secure and rock-solid Kafka platform with a myriad of value-add capabilities like security, connectors, and stream governance on top."

“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.”