Ververica recognised as Contender in Forrester's streaming data report
Berlin-based stream data platform pioneer, Ververica, has achieved notable recognition as a Contender in the Forrester Wave Streaming Data Platforms Q4 2023 report. This evaluation by Forrester Research highlights Ververica's strengths in stream processing, streaming analytics and throughput.
The comprehensive Forrester Wave report assesses streaming data platform providers and focuses on a specific set of 21 criteria. Ververica's placement in this report, according to them, showcases their potential to propel the industry forward. Their steadfast commitment to meeting and often exceeding the high standards required in today's data-driven world is seen as a significant factor contributing to the growing buyer confidence in Ververica's solutions.
Originally founded by the creators of the Apache Flink open-source project, Ververica has seen considerable success, resulting in Apache Flink being utilized by numerous other vendors in their evaluation process. Ververica's strategy includes driving the Apache Flink open-source community's growth whilst offering the most effective version of Apache Flink on the market. The company has now launched the Ververica Cloud, a supercharged rendition of Apache Flink.
Key strengths noted in the report include Ververica's prowess in stream processing, streaming analytics and throughput. Furthermore, customers reportedly value the heightened performance and scalability that has been added to the Apache Flink format. Ververica's offering is an excellent choice for customers seeking to utilise an upgraded version of Apache Flink for hyper-scale real-time applications.
Ververica's Head of Product, Vladimir Jandreski, expressed his satisfaction with the company's recognition by Forrester as a contender in the streaming data platform market. He also stressed its long-term commitment to set contemporaneous benchmarks in real-time processing and analytics. "Ververica Cloud is designed to meet the most rigorous requirements, and it can support even the most demanding business use cases across different industries," Jandreski stated.
