"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.”

”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 …

"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 …

“Everything we do is in real time because batch processing is an old way of thinking. The longer your data waits, the less value it has. So, as data comes through, you need to be able to act on it, or enrich it quickly. Confluent enables this for us.”

“The expectation these days is that banks should always be available. Customers constantly want real-time experiences. One of the best ways to facilitate that is by leveraging a platform like Confluent.”

“Confluent provides exactly what we dreamed of: an ecosystem of tools to source and sink data from data streams. It's provided us not only with great data pipeline agility and flexibility but also a highly simplified infrastructure thats allowed us to reduce costs.”

"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."

"In addition to providing the performance, scalability, and resiliency that we require for this critical piece of our architecture, Confluent provides the expertise and operational support that lets us focus on building features that are going to help our customers sell more vehicles."

"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 …

“We moved to Confluent Platform because we needed a platform that was stable and could scale easily, and it has security features that we couldn't find from other platforms."

”Confluent has given us a way to seamlessly handle data streaming—something we couldn’t achieve in two years of using standalone Kafka and various legacy technologies. This, in turn, has allowed us to incorporate microservices into our IT architecture to support each of our three business functions.”

"Running Kafka ourselves was a bit of a no-go given our team size and requirements. As a team we decided we wanted to focus on the technical functions of the platform. We wanted to spend more energy on these functionalities, and leave other things to Confluent who can do it …

“Kafka scales way better than most other data-exchange platforms, as it doesn’t use HTTP for data exchange and offers blazingly fast throughput out-of-the-box.”

"As we continue to break key functionality out of our monolith, we are opening up new possibilities for application components to integrate with other components and third-party applications. This simply would not have been possible for us before the introduction of Confluent Platform."

"We knew we needed to rethink how we processed our data. With Confluent, we’ve got a usage-based data streaming platform where we can develop features, expand into new markets, and create seamless customer experiences based on real-time data."