Conduit v0.12.2 release
Conduit v0.12.2 comes with up to 5x more throughput, new CLI command for initializing Conduit and pipelines, as well as bug fixes.
Conduit v0.12.2 comes with up to 5x more throughput, new CLI command for initializing Conduit and pipelines, as well as bug fixes.
We’re excited to announce the release of Conduit v0.12.0, which introduces Pipeline Recovery! This new feature enhances the resilience of your data streaming pipelines, ensuring they can recover from temporary errors without manual intervention.
We’re thrilled to announce the release of Conduit v0.11, featuring enhanced schema support for improved data integration! This update empowers users to manage and transform data more effectively across various sources and destinations.
Conduit v0.10 is here! This release introduces native support for multiple collections, addressing user feedback and enhancing the flexibility of data integration.
Revolutionize your data processing with Conduit v0.9, featuring enhanced processors. This release introduces powerful new capabilities that allow you to transform and manage your data more effectively.
We're excited to announce a new release of Conduit v0.8! This update prioritizes performance enhancements, aiming to establish Conduit as the default tool for data movement.
Conduit v0.7 has a new release! We continue to enhance Conduit as a powerful alternative to Kafka Connect, moving closer to our goal of supporting elaborate data pipelines.
Conduit v0.6 is now available, bringing a range of new features and improvements designed to enhance your data integration capabilities. This version focuses on providing users with more flexibility and efficiency in managing their data pipelines.
Conduit v0.5 is out! This release focuses on making Conduit easier to operate as a service, with enhancements aimed at improving usability and functionality for developers building streaming data pipelines.
Conduit v0.4 is out now. This release enhances error handling and debugging capabilities for developers building streaming data pipelines.