Change data capture · Decodable

Decodable

Fully managed stream-processing platform built on Apache Flink and Debezium for CDC pipelines and real-time transformation.

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Decodable is a serverless, managed platform for moving and processing streaming data, built on two open-source foundations: Apache Flink for pipeline orchestration and execution, and Debezium for change data capture from source databases. Users connect a source (a database via CDC, a queue, or another stream), write transformations in SQL, Java or Python, and Decodable runs the resulting pipeline continuously without the customer operating Flink or Kafka Connect clusters directly. It positions itself as a lower-effort alternative to self-managing Flink and Debezium, aimed at teams that want CDC-driven real-time pipelines without deep streaming-infrastructure expertise. Pricing is credit-based and usage-driven, with task count, size and stream retention scaling across a free tier, pay-as-you-go plan and an annual enterprise commitment.

At a glance

Vendor Decodable
Pricing model Usage-based
Free tier Yes
Deployment Cloud
Open source No
Best for Teams wanting managed Flink-and-Debezium CDC pipelines without operating the underlying streaming infrastructure.

Pricing

Credit-based usage pricing: a free tier for small workloads, pay-as-you-go by the credit, and annual enterprise capacity commitments.

Plan Price Notes
Free $0 4 concurrent tasks, 20 streams, small/medium task sizes, 24-hour stream retention up to 10GB
On Demand $0.12 per credit Unlimited tasks, 50 streams, 7-day retention up to 100GB, monthly pay-as-you-go
Enterprise $0.10 per credit (volume discounts available) Unlimited tasks and streams, annual pre-purchased capacity, 24/7 support, HIPAA compliance

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features

  • Managed Apache Flink runtime for stream processing
  • Debezium-based change data capture from source databases
  • SQL, Java and Python transformations
  • Serverless pipeline execution, no cluster management
  • Built-in connector library for sources and sinks
  • Credit-based usage metering
  • SLA-backed enterprise tier with HIPAA compliance

Integrations

Profile last reviewed September 21, 2026

Alternatives

Streamkap Managed streaming CDC platform that replicates database changes to warehouses and lakes in under a second. Artie Managed real-time data replication that streams row-level database changes to a warehouse with sub-minute latency. Maxwell's Daemon Open-source application that reads MySQL binlogs and writes each change as JSON to Kafka, Kinesis or similar streams.

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Terms to know

Change data capture (CDC) A technique for detecting and streaming only the rows that changed in a source system, instead of reloading everything. Data pipeline The automated sequence of steps that moves data from source systems to a destination, transforming it along the way. ETL (extract, transform, load) A data integration pattern that transforms data before loading it, unlike ELT which transforms after loading. Health Insurance Portability and Accountability Act (HIPAA) The U.S. law that sets privacy and security rules for protected health information handled by healthcare providers and insurers. Stream processing Processing data continuously as individual events arrive, rather than waiting to accumulate a batch. Workflow orchestration Scheduling, sequencing and monitoring interdependent data tasks so each step runs only after the ones it depends on succeed.

Related guides

How to choose a change data capture tool Pick CDC by how it reads the source log, who has to operate it, and whether you actually need sub-second delivery or just a fresh warehouse table.