”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.”

"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."

"We truly think of Confluent Cloud and Kafka as the central nervous system of our business, spanning everything from the customer-facing applications to distribution center operations from a technology perspective."

”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 …

“Banks can’t expect to go on operating on outdated technology.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.”

"Fans care about what seats are still available, how much do they cost, and what packages they can get with the tickets. And the venue wants to know who’s buying the tickets, are we having problems converting people, do we need to change the offering, or do we need to …

"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."

"Since deployment this year, we've never had any form of downtime with respect to processing millions of requests from our customers."

“At Victoria’s Secret, data is key for empowering agile decision making. We receive data from various systems including logistics, stores, and digital systems.”

“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.”

"To provide accurate and current data across the Trimble Platform, it requires streaming data pipelines that connect our internal services and data systems across the globe. Custom connectors will allow us to quickly bridge our in-house event service and Kafka without setting up and managing the underlying connector infrastructure. We …