AI Data
Azure Machine Learning vs Lightdash
Two ai data tools, what each is better at, what each costs, and the one we would pick.
We rate it higher
Azure Machine Learning
Cloud service for the end-to-end machine learning lifecycle
Pros
- ✓ Listed by Microsoft as an Azure service for the end-to-end machine learning lifecycle.
- ✓ Sits inside the broader Azure AI portfolio alongside Microsoft Foundry and Foundry Tools.
- ✓ Billed through Azure's consumption model, so cost scales with resources used.
Cons
- ✗ The pages reviewed do not list a standalone price or plan tiers for Azure Machine Learning.
- ✗ There is no permanent free tier for the service; the free offer is a 30-day Azure account trial.
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.
| Azure Machine Learning | Lightdash | |
|---|---|---|
| From | Contact | $3000/mo |
| Free Tier | No | Yes ✓ |
| Our Rating | Not rated | Not rated |
| Pricing | paid | freemium |
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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.
Azure Machine Learning Full Review →Lightdash Full Review →Azure Machine Learning Alternatives →Lightdash Alternatives →
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.