141 Confluent Testimonials

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  • “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.”

  • “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 to ensure long-term sustainability.”

  • “Ultimately it comes down to support. When I call Confluent, I know I’m already going to be talking to a Kafka expert. They don’t have to go find someone. And that matters when minutes or even seconds are on the line for uptime.”

  • "Continuous improvement is part of our culture at KeyBank, and the adoption of Confluent is a good example of our commitment to staying a technology leader within the banking industry."

  • "From a technology perspective at KeyBank, we want to continue to invest in new platforms that deliver new capabilities and improve our ability to deliver faster. When we saw the demand for harnessing data in motion growing, working with Confluent and investing in our center of excellence enabled us to implement a solution in a way that best benefits the enterprise by reducing complexity, costs, and time to market."

  • "With Confluent Platform we’re making data available via event streams, which means integration between systems is now a much lighter lift. A project that would take three months if we were working on the integration from both sides, will take significantly less time and effort because we only need to develop and test the consumer side.”

  • "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."

  • “When we're using services like Confluent for data delivery, we don't need to think about it. It just gets delivered.”

  • “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.”

  • “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.”

  • "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.”

  • "With Confluent Cloud we have none of the overhead or worries that come with self-managing. We have a guaranteed 99.95% uptime SLA, access to 24x7 expert Kafka support, and access to the latest Kafka developments."

  • "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 better!"