"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."

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

“Notion grew by millions of members in 2021, driven by increasing demand for remote collaboration tools during the pandemic. But we realized that our legacy messaging architecture that powered event logging wasn’t going to scale with this kind of rapid growth. At the same time, we needed to optimize costs …

"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."

"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 …

"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 …

“We are excited to continue using Confluent to scale our infrastructure and build even more real-time capabilities. As we expand, we know that Confluent will be key to supporting our growth and enabling us to remain at the cutting edge of the cryptocurrency industry.”

"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 started using the open source version of Kafka a few years ago, but quickly realised we were coming to the limit of what we could achieve in terms of offering Kafka as a professional service to our product development team. Equally, we lack the sheer number of people to …

“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.”

"There isn't another product that competes with Confluent. Streaming data as events enables completely new ways for solving problems at scale."

“We shouldn’t care where the data sits. We should be able to share and move data seamlessly between environments. Streaming is the key. Otherwise you’re copying and shipping data and it’s a moment in time. And our strategy based on what we’re doing with Confluent Kafka is saying ‘the moment …

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

"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."