Confluent, the event streaming platform pioneer, announced its Cost Effective release as a part of Project Metamorphosis, the company’s initiative to build the next-generation event streaming platform that any organization can put at the heart of its business. Building on the foundation of last month’s Elastic Scaling release, Confluent is addressing the challenges of building, running, and scaling self-managed, event streaming applications cost-effectively and efficiently. The resources and time traditionally required to bring event-driven applications to market has been a barrier for many organizations to make event streaming pervasive within their business. To help companies overcome this hurdle, Confluent released new innovations in Confluent Cloud, the industry’s only fully managed, cloud-native Apache Kafka service. The event streaming database ksqlDB is now generally available on Confluent Cloud. Confluent has also announced previews of fully managed Kafka connectors to leading open source infrastructures, such as MongoDB Atlas, Snowflake, and Elasticsearch Service.
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“In addition to increasing our focus on our core tasks, Confluent Cloud enabled us to set up multitenant clusters and better manage separate schema for our customers—and we’ll soon be taking advantage of the ability to easily scale up and scale down as needed.”
“Leading technology companies are no longer building out large teams to manage open source data systems,” said Jay Kreps, co-founder and CEO, Confluent. “Increasingly, we see companies moving to best-of-breed cloud services like Confluent Cloud that provide the same capabilities, but faster, more reliably, and far more cost effectively. This frees up the best engineers to work on software and systems that differentiate a business and deliver greater value to customers.”
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As the global economy continues to slow as a result of COVID-19, finding ways to save money and operate more efficiently have become more important than ever. However, as most businesses have moved nearly entirely online, they are in the incredibly difficult position of building sophisticated digital experiences that strengthen customer loyalty, while also reducing the cost of managing the complex infrastructure those applications rely on. Over 100,000 organizations use Kafka to enrich applications with real-time, contextual data; however, running highly distributed open source technology is especially costly and time-consuming. Oftentimes, developers and operators are stuck handling tedious cluster scaling, troubleshooting, and day-to-day management operations, rather than high-value projects that drive the business forward. The demands of managing Kafka infrastructure also slow down development cycles—Confluent found it can take up to two years for organizations to take event-driven applications to market.
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