141 Confluent Testimonials

“We relied on batch processes to roll all this data up to a data warehouse, but those processes were taking longer and longer to complete. If they failed and had to be restarted, we were at risk of clients not seeing up-to-date data when they logged in and the entire process was at risk of breaking down due to the sheer volume of data it was handling.”

“We can reflect station configuration changes in less than a second. It gives our customers peace of mind, and real-time data eliminates any guesswork.”

"BHG is a fast moving company, and Confluent is quickly becoming not only a central highway for our data with their vast connector portfolio, but also a streaming transformation engine as well for a vast number of use cases. Confluent is at the core of everything we're doing right now. It's playing a key role in our ability to scale and enabling our product teams to come up with new and original products."

"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."

“Confluent Cloud stands out for its focus on security, especially in highly regulated industries such as banking and healthcare.”

"With Confluent Cloud, we have high-performance event streaming, with the ability to store events securely. This makes it possible for our deterministic matching engine and settlement system to go back in time and replay a sequence in order if we need to."

"Our experience with Confluent Support has been very positive. The response times have been quite fast. We’ve been able to isolate and resolve issues substantially faster than we could on our own, which definitely has helped our velocity."

”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 has a huge impact.”

“This resulted in several challenges related to broker version upgrades, scaling, and data observability—resulting in unnecessary engineering bandwidth spent on managing the infrastructure versus time spent on working on the product,”

“Confluent is critical for how Vimeo instruments our product and how we make that information available across a multitude of different surface areas. Whether data is fed back into the product or into a pipeline for ML and AI teams, or the product team’s self-service tools to better understand how our customers are experiencing the product. There are always opportunities for improvement, where analysts and data scientists can curate, measure, identify usage patterns on the user journey.”

"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 they won’t be slowed by an outdated architecture."

"With the support we received from Confluent and our cloud provider, moving our on-prem Kafka deployment to Confluent Cloud went well, as did the overall cloud migration."

"Confluent has been instrumental in the company’s ability to scale. It’s not unusual to have 25 million concurrent users for a live match, and on a daily basis seven to eight terabytes of data come into the platform. According to Disney+ Hotstar, powering so many use cases at this scale was made possible because of the real-time event streaming infrastructure that was built on Confluent Platform and Kafka."

“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, 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.”