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Decodable vs OpenLogReplicator

Decodable

decodable.co

OpenLogReplicator

bersler.com

Side by side

FigureDecodableOpenLogReplicator
Price from$0.01/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
Linux—Yes
APIYes—
Self-hostedYesYes
Plans published31
Spec score · Change Data Capture Software8.3 (#4)7.6 (#13)
DeploymentCustomers can use Decodable-hosted infrastructure or a Bring Your Own Cloud deployment option.The Docker quick-start tutorial documents running OpenLogReplicator on a Linux 64 machine.
SupportFree includes community Slack and chat support with best-effort response; Enterprise includes dedicated Slack or Teams, chat, email, and Zoom support around the clock.Production assistance and proof-of-concept help are available by contacting the author through the contact form.

Plans

Decodable

  • FreeFree
  • Enterprise$0.10 a year
  • On Demand$0.12 a month

Decodable pricing →

OpenLogReplicator

  • OpenLogReplicatorFree

OpenLogReplicator pricing →

In their own words

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.

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OpenLogReplicator

OpenLogReplicator is a free, open-source Oracle change data capture solution written in C++ for self-hosted Linux deployments. It reads transactions directly from Oracle binary redo logs and streams changes as JSON or Protobuf. Destinations include Kafka, flat files, plain TCP/IP or ZeroMQ network streams, and a discard output for testing. The log-based design is intended to minimize impact on the source database. Archived redo logs can be processed, including offline operation while the database is shut down, and actual DDL commands can be tracked. Basic DML filters can restrict processing, such as selecting INSERT operations for a table. Direct Prometheus metrics include DML counters that can carry schema-name tags. Oracle 23c is supported; binary XMLType support for Oracle 11.2 through 21c is experimental. Debezium use is supported with version 1.3.0 as the minimum and 1.9.0 recommended for Debezium 2.x and 3.x. The GPL v3 plan costs nothing.

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