AI Data
Lightdash vs Snorkel AI
Two ai data tools, what each is better at, what each costs, and the one we would pick.
We rate it higher
Lightdash
From $3000/mo
AI-native BI platform built on your dbt project
Pros
- ✓ Unlimited users on all plans, including the free self-hosted open source version.
- ✓ Native dbt integration and open semantic layer.
- ✓ 21-day free trial for Cloud Pro with no payment details required.
Cons
- ✗ Requires a dbt project to use.
- ✗ Cloud Pro starts at $3,000 per month.
We rate it higher
Snorkel AI
Expert data development for frontier AI models and agents
Pros
- ✓ Founded out of the Stanford AI Lab and has worked on frontier AI data for nearly a decade.
- ✓ Publishes benchmarks and research, including Terminal-Bench, Senior SWE-bench, OSWorld 2.0, and Agents' Last Exam.
- ✓ Offers both data development services and custom specialized agents.
Cons
- ✗ No public pricing; the pricing page returns a 404, so costs are only available by contacting sales.
- ✗ No self-serve product or free tier is described on the site.
| Lightdash | Snorkel AI | |
|---|---|---|
| From | $3000/mo | Contact |
| Free Tier | Yes ✓ | No |
| Our Rating | Not rated | Not rated |
| Pricing | freemium | enterprise |
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Summary
We have not used both of these yet, so there is no score to pick a winner with. What they cost, who they suit and what each one does is in the table above.
Some links here earn us a commission. We earn it whether we praised the tool or not, which is why the verdict does not move for it.