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

“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"

"We never use the excuse that ‘we’re learning’ to lessen our customers’ expectations of our digital services. Confluent expertise and Confluent Platform capabilities are helping us shorten the learning curve as Kafka takes on a larger role in our modern software architecture.”

"Confluent is definitely the central pillar of our data infrastructure. All data collection that isn’t an application database is going on our central pipeline through Confluent."

"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 …

“With Confluent, we have a data streaming platform that’s been quick to set up, where configuration is automated, and with zero maintenance tasks so we can focus on processing logic.”

"As we bring in more private data, the security and monitoring capabilities of Confluent Platform are becoming more and more important. We are very bullish on using Confluent Control Center to improve the monitoring of our pipelines, from source to target."

"Our vision for our data strategy is to use data effectively and efficiently across the organization to deliver value for our business and for our customers. We’re using Confluent to leverage data to create business value and help SumUp become a more data-driven company."

“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 …

"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 …

"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."

"We chose event-driven architecture as the core of our platform. For which we needed a messaging service that gave us all the guarantees not to mention that it had to be extremely scalable, highly available, and simple to use."

“Think of Confluent as a Swiss Army knife - it can do so many things in terms of data processing. We want to reduce the latency and increase data availability as much as we can, and we know we can scale even further with Confluent.”

"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 …

“We started wondering, can we offload all of the management of Kafka—and still get all of the benefits of Kafka? That’s when Confluent came into the picture.”