"In terms of hard costs, Confluent reduced our bottom line from the infrastructure cost perspective, reducing licensing and physical hardware. We reduced our projected yearly cost by 69%. And the months of planning we would have to put into meetings and seasonal projections are gone, so our management oversight is …

“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.”

"Confluent Platform and Apache Kafka, by enabling us to build and deploy real-time event-driven systems for credit scoring, have helped BRI become the most profitable bank in Indonesia."

"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 …

“Kafka is the right solution for us. It’s the de facto standard for streaming analytics, and it gives us massive horizontal scalability in a multi-tenanted environment. Confluent Platform meets our high standards for compliance, security, and resiliency. We confidently selected Kafka to address our mission-critical customer requirements.”

“Confluent enables an event-driven architecture that improves efficiency for software engineering. Adopting data streaming opens up numerous, valuable use cases by bringing insights closer to the analysts.”

"With the ability to combine real-time results with historical events, Confluent is leading the charge in helping enterprises discover new services and modernize existing ones with the power of event streaming."

“The strength of the engineering team at Ladder really lies in making a great customer experience and automating business processes, rather than running a Kafka cluster. Putting our data in motion with Confluent allows us to focus on differentiating Ladder with automated underwriting built around machine learning models fed by …

"Confluent and Google Cloud enabled us to address our large database footprint and retire our legacy data platform, which was in many ways our Achilles heel. After moving to real-time streaming on a cloud-based modern architecture, we can now deliver new features and capabilities to our customers and know that …

”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 …

"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 …

"Using Kafka and Confluent, Walmart has initiated a digital transformation and modern omnichannel experience that allows customers to interact with Walmart.com seamlessly, order groceries online or in a mobile app, and either pick them up or have them delivered. Walmart’s investment in event streaming with Confluent has contributed to business …

"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 …