Denormalized is a serverless real-time data platform that allows users to query data quickly while eliminating the need to manage complex infrastructure. It enhances developer productivity by automating schema inference from sample data and simplifying data stream creation allowing engineers to go from idea to production fast. Denormalized supports SQL for data transformations without needing complex stream processing systems like Flink.
Denormalized is currently under active development. For more information on pricing, please reach out to [email protected].
Denormalized is built by a dedicated team in San Francisco, focused on delivering cutting-edge stream processing solutions. If you're frustrated with existing solutions like Flink or want to better understand the data in your Kafka cluster, our team is here to help.
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