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

“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.”

"Using KSQL and Kafka Streams we have the ability to prepare data in complex structured formats for synching to external systems. We’ve also created a Kafka Streams app that continuously compares the desired and actual state of the data in those systems, and computes an optimal set of API calls …

"Our internal platform is totally based on Kafka communication between all the pillars, so it’s like a nervous system for us."

“Banks can’t expect to go on operating on outdated technology.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

"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."

"When we think of a better healthcare ecosystem, we really need to think about the opportunity to exchange data in a seamless way, where all participants can freely integrate that data to help drive the outcomes and the experience within their organizations."

"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."

"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."

“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.”

“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.”

"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."