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"With Confluent, we have a much more flexible architecture that makes it possible for our teams to operate more independently, and that ultimately leads to greater speed across the organization. We’re removing technology barriers and getting data to the teams that need it faster, and that’s enabling us to take …
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“We started out managing our own Kafka clusters, but as soon as we got to scale, we realised it would be too inefficient and expensive for us to keep self-managing. Thankfully, with Confluent, we get fully managed products and services that go beyond just infrastructure; they help us scale Kafka, …
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"Data streaming is quickly becoming the central nervous system of our infrastructure as it powers real-time customer experiences across our 12 countries of operations. Stream Designer’s low-code, visual interface will enable more developers, across our entire organization, to leverage data in motion. With a unified, end-to-end view of our streaming …
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"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 …
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"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."
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”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 …
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“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,”
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“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 …
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"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."
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"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 …
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"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."
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"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."
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"Our vision for our data strategy is to use data effectively and efficiently across the organization to deliver value for our business and for our customers. We’re using Confluent to leverage data to create business value and help SumUp become a more data-driven company."
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"We chose event-driven architecture as the core of our platform. For which we needed a messaging service that gave us all the guarantees not to mention that it had to be extremely scalable, highly available, and simple to use."
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"As we bring in more private data, the security and monitoring capabilities of Confluent Platform are becoming more and more important. We are very bullish on using Confluent Control Center to improve the monitoring of our pipelines, from source to target."