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_Confluent secures 4.5 out of 5-star rating as of November 21, 2019 based on customer peer reviews for ease of use, product innovation, and Apache Kafka_® expertise
Mountain View, Calif. – December 9, 2019 – Confluent, Inc., the event streaming platform pioneer, today announced it has been designated the highest vendor rating in Gartner’s 2019 Peer Insights Customers’ Choice for Event Stream Processing (ESP). Confluent’s rating is based on Gartner-verified feedback and reviews from end-user professionals who have experience purchasing, implementing and using event stream processing products and solutions.
“Enterprises around the globe are transforming their businesses by leveraging the power of event streaming,” said Sarah Sproehnle, vice president of Customer Success, Confluent. “But many organizations lack the teams or resources required to take full advantage of Apache Kafka, so our goal is to make that easy for any developer in any organization. This community-driven recognition shows that developers and enterprises are excited to adopt platforms that make it much easier to harness the power of Kafka and event streaming at massive scale.”
According to Gartner, Event Stream Processing (ESP) platforms are software systems that perform real-time or near-real-time calculations on event data “in motion.” The input is one or more event streams containing data about customer orders, insurance claims, bank deposits/withdrawals, tweets, Facebook postings, emails, financial or other markets, or sensor data from physical assets such as vehicles, mobile devices or machines. The platforms process the input data as it arrives (hence “in motion”), before optionally storing it in some persistent store. They retain a relatively small working set of stream data in memory, just long enough to perform calculations on a set of recent data for the duration of a time window.
Here is what some of Confluent’s customers had to say:
Ease of Use
Industry Leading Apache Kafka Expertise
We believe this distinction is a result of Confluent’s continued mission of putting an event streaming platform at the heart of every business by pushing the event stream processing market forward by making Kafka simple to use and deploy at massive scale in large, complex enterprise environment. Among its achievements in the past 12 months:
About Peer Insights
Peer Insights is an online platform of ratings and reviews of IT software and services that are written and read by IT professionals and technology decision-makers. The goal is to help IT leaders make more insights purchases decisions and help technology providers improve their products by receiving objective, unbiased feedback from their customers. Gartner Peer Insights includes more than 215,000 verified reviews in more than 340 markets. For more information, please visit www.gartner.com/reviews/home.
Gartner Peer Insights Customers’ Choice constitute the subjective opinions of individual end-user reviews, ratings, and data applied against a documented methodology; they neither represent the views of, nor constitute an endorsement by, Gartner or its affiliates.
Confluent, founded by the original creators of Apache Kafka®, pioneered the enterprise-ready event streaming platform. With Confluent, organizations benefit from the first event streaming platform built for the enterprise with the ease of use, scalability, security and flexibility required by the most discerning global companies to run their business in real time. Companies leading their respective industries have realized success with this new platform paradigm to transform their architectures to streaming from batch processing, spanning on-premises and multi-cloud environments. Backed by Benchmark, Index Ventures and Sequoia Capital, Confluent is headquartered in Palo Alto and London with offices globally. To learn more, please visit www.confluent.io. Download Confluent Platform and Confluent Cloud at www.confluent.io/download.
Confluent and associated marks are trademarks or registered trademarks of Confluent, Inc.
Apache® and Apache Kafka® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.