Decodable

Decodable is a managed, serverless service for real-time ETL, ELT, change data capture, and stream processing. It is best suited to data engineers, application developers, and data scientists who need durable pipelines with both hosted and Bring Your Own Cloud deployment. Its broad development options and recovery behavior are strong reasons to choose it, while retention, stream, and task limits require careful plan selection.

Overview

Built on Apache Flink and Debezium, Decodable combines streaming computation with log-based capture. Teams can start without a credit card on a Free plan that never expires, then move to usage-based or committed-capacity billing as requirements increase. The service supports initial snapshots, but does not support schema evolution, so it is a weaker fit for sources whose structure changes frequently.

Key features

Pipelines can be written in SQL, Java, or Python and managed through the web interface, command-line interface, APIs, or dbt. SQL covers transformations, filtering, stateful joins, and complex event processing, giving teams a practical route from straightforward filtering to stateful streaming logic without forcing every operator into the same workflow.

Exactly-once processing is enabled by default. When a pipeline stops or fails, it resumes from its previous position, reducing duplicate or missed events during recovery. Connectors cover systems including Apache Kafka, PostgreSQL, Apache Iceberg, and Snowflake, with Debezium-powered CDC for log-based source capture.

Decodable offers either its hosted infrastructure or a Bring Your Own Cloud deployment. It says its information-security program complies with SOC 2 Type II, HIPAA, and GDPR. Databases and storage are hosted in the United States on AWS, encrypted at rest, and protected in transit with TLS 1.2 or newer. These controls will matter to regulated teams, although the US hosting location may not suit every residency requirement.

Pricing

The Free plan costs nothing, is billed Free, and does not expire. It includes 24 hours or 10GiB of stream retention, a default maximum of 20 streams, up to four running tasks, and Small and Medium task sizes. Community Slack and chat support are included on a best-effort basis. This is a useful way to prototype or run modest pipelines, but short retention and the four-task ceiling constrain replay windows and concurrency.

On Demand costs $0.12 a month, billed monthly on a pay-as-you-go basis. It raises retention to seven days or 100GiB, allows 50 streams, and provides unlimited running tasks, with Small, Medium, and Large task sizes. It suits variable workloads that need more headroom without an annual commitment, though the stream and retention caps still matter for larger estates.

Enterprise costs $0.10 a year, billed annually against committed capacity. It includes seven days of retention with extended retention available, unlimited streams and running tasks, and Small, Medium, and Large task sizes, with custom task sizes available. Enterprise also adds dedicated Slack or Teams, chat, email, and round-the-clock Zoom support. It is the appropriate tier for sustained, high-capacity operation and formal support requirements; committed capacity and annual billing are less suitable for uncertain demand.

Platforms

Decodable is offered through web and API access, with self-hosted deployment available through its Bring Your Own Cloud option. The hybrid model lets organizations choose between vendor-managed infrastructure and deployment in their own cloud environment.

Who it's for

Choose Decodable when a team needs real-time pipelines, CDC, stateful SQL processing, and dependable restart behavior in one managed platform. It is particularly suitable for organizations that want both hosted convenience and BYOC control, or that need Java and Python alongside SQL. Teams requiring evolving source schemas, very long free-tier retention, or a fully open-source deployment should look elsewhere.

Pros and cons

• Pros: SQL, Java, and Python support accommodates mixed engineering skills.
• Pros: Exactly-once processing and resume-from-failure behavior support reliable recovery.
• Pros: Hosted and BYOC deployment cover different infrastructure policies.
• Pros: Kafka, PostgreSQL, Iceberg, Snowflake, and Debezium connectivity supports common streaming and CDC architectures.
• Cons: The Free plan retains only 24 hours or 10GiB and permits four running tasks.
• Cons: Schema evolution is not supported, creating maintenance risk for changing sources.
• Cons: Enterprise uses committed annual capacity, which reduces flexibility for unpredictable usage.

Alternatives

For a directory of related tools, see Change Data Capture Software.

• Apache Flink CDC is a free Apache-licensed option with released JARs and connectors for teams that want self-managed Flink CDC across Linux, macOS, and Windows.
• Canal is a free Apache-2.0 project for API or self-hosted deployments when an open-source CDC service is preferred.
• Debezium is a free Apache-licensed distributed CDC platform for teams wanting the underlying open-source capture layer directly.
• pgstream is a free Apache-2.0 CDC CLI and Go library for PostgreSQL-focused, self-hosted work.
• Sequin provides a free MIT-licensed self-hosted option running on your own infrastructure.
• dbmazz offers free self-hosted and BYOC plans with an open-source engine, CLI, terminal dashboard, and local web UI.
• Estuary is another freemium pipeline service, with a free tier, trial, and a 100.00 USD monthly pay-as-you-go plan.
• LinkedIn Databus is a free Apache 2.0 open-source choice for teams wanting a self-managed platform.

Verdict

Decodable is a strong choice for teams building dependable real-time ETL and CDC pipelines that need multiple languages, operational interfaces, and hosted or BYOC deployment. Pick it for exactly-once recovery and managed Flink-based processing; look elsewhere if schema evolution, open-source self-hosting, or generous free-tier retention is central to the decision.