Apache Flink CDC vs Decodable
Apache Flink CDC
github.com
Decodable
decodable.coSide by side
| Figure | Apache Flink CDC | Decodable |
|---|---|---|
| Price from | Free | $0.01/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | — |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Change Data Capture Software | 8.2 (#5) | 8.3 (#4) |
| Deployment | The documentation describes downloading and extracting Flink CDC and connector JARs, then running it with an Apache Flink deployment. | Customers can use Decodable-hosted infrastructure or a Bring Your Own Cloud deployment option. |
| Integrations | Pipeline connectors listed include Doris, Elasticsearch, Fluss, Hudi, Iceberg, Kafka, MaxCompute, MySQL, OceanBase, Oracle, Paimon, PostgreSQL, and StarRocks. | The connector library includes systems such as Apache Kafka, PostgreSQL, Apache Iceberg, and Snowflake, including Debezium-powered CDC. |
| Security | The repository links to a security policy, but its contents were not available in the opened page. | Decodable says its information security program complies with SOC 2 Type II, HIPAA, and GDPR, and that reports can be requested from [email protected]. |
| Support | The project directs users to its user mailing list for support and questions, and to Flink JIRA for problems. | Free includes community Slack and chat support with best-effort response; Enterprise includes dedicated Slack or Teams, chat, email, and Zoom support around the clock. |
Plans
In their own words
Apache Flink CDC
Apache Flink CDC is a distributed data integration tool for real-time and batch workloads, built on Apache Flink. It supports full database and sharded-table synchronization, schema evolution and data transformation. With its YAML Pipeline API, users can declare sources, sinks, routing, transformations and schema evolution rules. SQL and DataStream APIs are also available for defining CDC sources and custom Flink streaming applications. Listed pipeline connectors include Doris, Elasticsearch, Fluss, Hudi, Iceberg, Kafka, MaxCompute, MySQL, OceanBase, Oracle, Paimon, PostgreSQL and StarRocks. SQL and DataStream source connectors also include SQL Server, MongoDB, TiDB, Db2 and Vitess. Flink CDC 3.6 is listed as compatible with Flink 1.20 and 2.2; version 3.6.0 requires JDK 11 or later. Deployment is self-hosted: download and extract Flink CDC and connector JARs, then run them with an Apache Flink deployment. It is free under the Apache 2.0 License and lists Linux, macOS, Windows and self-hosted environments as platforms.
Decodable
Decodable is a managed, serverless platform for real-time ETL, ELT, and stream processing, built on Apache Flink and Debezium. It lets teams create pipelines in SQL, Java, or Python and manage them through a UI, CLI, APIs, or dbt. SQL supports transformations, filtering, stateful joins, and complex event processing. Pipelines process data exactly once by default and can resume after a stop or failure. Connectors include Apache Kafka, PostgreSQL, Apache Iceberg, and Snowflake, with Debezium-powered change data capture. Teams can use Decodable-hosted infrastructure or a Bring Your Own Cloud deployment. The free plan costs nothing and does not expire or require a credit card; it includes 24 hours or 10GiB of stream retention, 20 streams, and four running tasks. On Demand costs $0.12 a month, billed monthly, and Enterprise costs $0.10 a year, billed annually with committed capacity. Decodable is available via API, web, and self-hosted deployment.