Kedro vs Singer: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Kedro and Singer side by side. This page compares data; it is not a hands-on review.
On the data: On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
Kedro
An open-source framework for building production-ready data engineering and data science pipelines.
Best for you if:
- • You want promotes clean, reproducible, and maintainable code for data pipelines
Singer
Open-source data integration framework
Best for you if:
- • You want open source ETL spec
| At a Glance | Kedro | Singer |
|---|---|---|
Starts at | Free 100% free | Free 100% free |
Category | ETL & Data Pipelines Data & Databases | ETL & Data Pipelines Data & Databases |
Rating | n/a | n/a |
Free plan | Yes | Yes |
Choose Kedro or Singer?
Choose Kedro if
- You want promotes clean, reproducible, and maintainable code for data pipelines
- You want standardizes project structure and encourages team collaboration
Choose Singer if
- You want open source ETL spec
- You want many taps/targets
In-Depth Analysis
Kedro
An open-source framework for building production-ready data engineering and data science pipelines.
Kedro's pricing is exceptionally generous as it is entirely free, offering a robust set of features for building production-ready data pipelines.
Strengths
- Pro: Promotes clean, reproducible, and maintainable code for data pipelines.
- Pro: Standardizes project structure and encourages team collaboration.
- Pro: Reduces time spent on 'plumbing' and allows focus on core problems.
- Pro: Facilitates seamless transition from development to production.
- Pro: Offers extensive integrations with popular data and ML tools.
Weaknesses
- Con: Requires familiarity with Python and software engineering concepts.
- Con: May have a learning curve for users new to structured pipeline development.
Key features
Singer
Open-source data integration framework
Singer's pricing is exceptionally generous, as it is entirely free and open-source.
Strengths
- Pro: Open source ETL spec
- Pro: Many taps/targets
- Pro: Community driven
- Pro: Good flexibility
- Pro: Meltano integration
Weaknesses
- Con: Setup complexity
- Con: Tap quality varies
- Con: Documentation gaps
- Con: Maintenance needed
- Con: Learning curve
Key features
Plans and prices: Kedro vs Singer
| Tool | Plans and prices | Source |
|---|---|---|
| Kedro |
| kedro.org read Oct 7, 2026 |
| Singer |
| singer.io read Oct 6, 2026 |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on Kedro pricing and Singer pricing.
Key Takeaways
Kedro
- Choose if you want an open-source framework for building production-ready data engineering and data science pipelines
Singer
- Choose if you want open-source data integration framework
What the data shows
On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
- Both have a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do Kedro and Singer compare in 2026?
On the data below the two are close or not directly comparable, so we do not name a winner for this pair. Both have a free plan.
What are Kedro and Singer used for?
Kedro: An open-source framework for building production-ready data engineering and data science pipelines. Singer: Open-source data integration framework.
What does Kedro cost vs Singer?
Kedro is free. Singer is free. Prices read on the vendors' pricing pages, latest check Oct 7, 2026.
What's the main difference between Kedro and Singer?
Kedro's main strength: promotes clean, reproducible, and maintainable code for data pipelines. Singer's main strength: open source ETL spec.