141 Confluent Testimonials

"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."

"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.”

“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.”

“Banks can’t expect to go on operating on outdated technology. Traditional banks can’t expect to move into the future without using data in real time. Confluent helps us set our data in motion.”

“What’s needed is a highly scalable and agile data platform with loosely coupled architecture that will enable you to build applications on top of it with the resilience and reliability that banks need and regulators require"

“First, the cost and risk of making changes to large monolithic applications is prohibitive. Second, you end up with your data locked up in a particular technology and vendor, which can be very challenging to evolve.”

"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."

“At Victoria’s Secret, data is key for empowering agile decision making. We receive data from various systems including logistics, stores, and digital systems.”

“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.”

“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.”

“Think of Confluent as a Swiss Army knife - it can do so many things in terms of data processing. We want to reduce the latency and increase data availability as much as we can, and we know we can scale even further with Confluent.”

"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."

"The developers saw the value in Confluent once we had Confluent engineers come in to review our designs. They saved us from making a lot of mistakes early on and helped us eliminate many bottlenecks.”

"We never use the excuse that ‘we’re learning’ to lessen our customers’ expectations of our digital services. Confluent expertise and Confluent Platform capabilities are helping us shorten the learning curve as Kafka takes on a larger role in our modern software architecture.”

"This solution uses multiple features of Confluent Platform. We structure the data from our Cassandra databases using a model stored in Schema Registry, and we use Confluent Replicator to replicate topics across multiple datacenters."