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  1. Decodable

    Powered by Apache Flink® and Debezium, Decodable provides a fast, easy, yet powerful stream processing platform free from the pain, time, and cost of assembling the individual components.

  2. Product - Decodable

    Powered by Apache Flink and Debezium, Decodable offers a simplified approach to real-time data with a fully-managed, serverless platform that unifies real-time ETL, ELT, and stream processing.

  3. Welcome to Decodable

    Powered by Apache Flink and Debezium, Decodable eliminates the complexity and overhead of managing infrastructure, allowing data engineering teams to focus on building pipelines using SQL, …

  4. Real Time Change Data Capture - Decodable

    Streamline your batch or real-time ELT processes with fully managed CDC for faster insights with Decodable.

  5. About - Decodable

    Decodable’s mission is to make building real-time applications and services easier. We are fighting complexity by solving the problem at the root - removing complex infrastructure and processes.

  6. Debezium - Decodable

    Decodable leverages Debezium to replicate databases into data lakes, data warehouses, or other downstream systems in real-time. This enables organizations to maintain accurate, current data …

  7. Apache Kafka - Decodable

    Decodable offers a fully managed platform that simplifies the use of Apache Flink and Kafka, allowing you to focus on your applications without the complexity of infrastructure management.

  8. Apache Flink - Decodable

    Decodable offers a fully managed platform that simplifies the use of Apache Flink, allowing you to focus on your applications without the complexity of infrastructure management.

  9. Downloads - Decodable

    Added the decodable stream preview command for previewing data in a stream. A warning will now be displayed if a deprecated CLI version is used, prompting to upgrade.

  10. About Decodable Pipelines

    Decodable supports a subset of Flink SQL functions with some additional functionality. See SQL functions for a detailed list of functions available for use by your pipeline queries.