Singer was Stitch's incomplete open source response to Fivetran, lacking production tooling like orchestration and state management. Meltano filled these gaps but retained Singer's framework-heavy approach designed for software engineers rather than data teams. dlt takes a different approach by working like a Python library similar to pandas, allowing data professionals to build production-ready pipelines without learning new frameworks or configuration management. The comparison shows dlt's library-based approach is more intuitive for data teams who think in terms of Python, pandas, and SQL.
Table of contents
The real story: Singer was never meant to be that free Link icondlt: Doing it right from the start (2023) Link iconThe intent of a data user who is looking for pipeline tools Link iconComparison that matters Link iconWhy we built dlt Link iconSkip the framework: Start building better pipelines today Link iconSort: