141 Confluent Testimonials

Industry
Company Size
15 per page
  • 15
Reset
  • “Handing off the operational responsibility for Kafka to someone was, to King, comparable to leaving your kid at kindergarten for the first time. You really need to trust that other party to take good care of your baby.”

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

  • “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.”

  • "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we can now deliver new features and capabilities to our customers and know that they won’t be slowed by an outdated architecture."

  • “Risk Focus’s expert knowledge of trading systems complemented Confluent’s expertise with Kafka-based architectures to successfully redesign this mission-critical system. Risk Focus’s attention to detail, combined with its iterative approach to software development, ensured that the client’s business needs would be met by the new streaming platform.”

  • "We had no technologies to replace or augment because we’d never used event streaming technology before. Some of our members from different groups had experience handling Apache Kafka, but they weren’t part of the bigger project to build a data streaming platform. Confluent had an ability to immediately offer enterprise-level support and that’s why we decided to team up with them."

  • ”With Confluent, it was easier for the team to set up, configure, and scale to support the increasing volume and throughput of the source systems we’re generating. This allowed us to build more microservices that are processing and aggregating data to deliver fit-for-purpose topics.”

  • "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."

  • “The strength of the engineering team at Ladder really lies in making a great customer experience and automating business processes, rather than running a Kafka cluster. Putting our data in motion with Confluent allows us to focus on differentiating Ladder with automated underwriting built around machine learning models fed by real-time data.”

  • "We started with pay as you go, and had things up and running in about an hour. Confluent Cloud enabled us to defer the learning curve on running Kafka in-house. We currently don’t have the resources or bandwidth to host and manage clusters ourselves, so instead we have the experts on Kafka doing that for us.”

  • "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 really wanted to have a centralized application and toolset where it didn’t matter what part of the company you were working on, what part of our technology you were working on, you had the same data that everyone else had. Instead of trying to build our own solution, we partnered with Confluent.”

  • "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."

  • “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.”

  • "Confluent is a strategic platform for us. With every project we look at, we now think about how we use Confluent to move things around and join things together."