“We wanted to be able to transform the data into the shape we needed by building our own connectors to other locations that weren’t supported by our existing tools.”
“When we came to the point where we had to stand up an enterprise-grade streaming data platform, we looked at multiple options and Confluent was a clear winner here.”
"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."
“With Confluent’s fully managed data streaming platform, we are able to focus on the business side of things, like governance and the metrics around data. As we are evaluating Confluent’s fully managed data streaming platform, we recognize that it will enable us to focus on the business side of things, like governance and the metrics around data. It will allow us to manage complex cluster failure scenarios by seamlessly migrating traffic to an asynchronous DR cluster.”
"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 will be able to easily upload our custom-built connectors to seamlessly stream data into Confluent and shift our focus to higher-value activities."
"With our Kafka-backed data pipeline, we are able to support our partners, who every year create more services, more features, more data instrumentation, and even more granular data than the year before."
"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 put another tour date on the calendar because this one is super popular. These are all different ways of looking at the same data. So we put all of this into an inventory stream which gets placed in a different data store for the various uses of that data. Confluent and Kafka have allowed us to get to the position where it’s now fairly low-friction for the data science team to roll out new capabilities with our data."
"You have real-time data: stock prices, things that are ticking. You have data that's pretty static: terms and conditions, things like that. And then you have data that's updating periodically: things like position updates. If you can use a tool like Kafka to pull all that data together and combine it in ways that you display to end users—whether they be traders, salespeople, managers—and you provide them analytics across that data, it's extremely powerful."
“Confluent’s technology continues to provide the opportunity to develop competitively differentiated products for the future and is the technology we’ll take our next steps with.”
“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 make it practical—and that’s where Confluent came in.”
"With Confluent Cloud, we can now provide operational data in real time to any team that needs it. This is really powerful and significantly reduces our operational burden."
“Kafka addressed our needs and ensured scalability without creating any barriers. It’s built for massive amounts of data, and the underlying concepts and ideas resonate with us. That’s why we chose Kafka.”
"Tracking the number of orders per second using ksqlDB is very crucial to us, so we can monitor the use and health of the platform in real time."
“Although we had some experience running open source Kafka ourselves, we recognized that we needed a trusted partner to help us resolve issues that we’d encounter with a larger-scale deployment. Confluent not only had a local office to provide that support, they also had the best known, verified solution, which was what we wanted for our mission-critical e-commerce platforms.”
“With Confluent, we’ve been able to optimize our in-house Kafka-support resources by ~50% and redeploy our engineering and development talent to creating innovative and value-added features for our customers instead. Additionally, engaging Confluent gave us the peace of mind that comes with minimizing downtime and knowing that our Kafka systems are in the hands of one of the industry’s leading data-in-motion experts.”