“Based on previous interactions, location, and past orders, the system can promote specific products and provide bespoke offers to customers."

”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.”

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

"Confluent enables us to see our data in motion, which was simply impossible with our existing systems... Much like the weather radar that shows how your situation has changed by the minute, seeing our data in motion with Confluent has enabled us to tackle long-standing business challenges, lower costs, and …

“Banks can’t expect to go on operating on outdated technology.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

”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 …

"Working with the Apache Kafka experts at Confluent gives us the confidence to scale the data pipeline, improving business operations and overall reliability."

“When it comes to batch processing versus stream processing, both of them work. But one is a much more efficient way of doing it. A lot of the cost savings over the last twelve months has come from moving into a more efficient way of developing applications with stream processing.”

“We looked at building our own architecture, but we’d much rather consume services than build our own complex Kafka infrastructure. And you [Confluent] invented Kafka, so obviously we just went with that.”

“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.”

“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.”