Head-to-head · Data Science Analytics
Azure Machine Learning vs Databricks Data Intelligence Platform
Azure Machine Learning leads on 0 checks, Databricks Data Intelligence Platform on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAzure Machine Learning · 9.2/10
- Free planonly Databricks Data Intelligence Platform
- Free trialonly Databricks Data Intelligence Platform
Azure Machine Learning scores higher on our rubric for data science analytics: 9.2 against 8.9 out of 10; our editors rank them #1 and #4.
Databricks Data Intelligence Platform offers free plan; Azure Machine Learning doesn't.
Azure Machine Learning is the better fit for organizations committed to the Azure ecosystem. Databricks Data Intelligence Platform is the better fit for teams unifying lakehouse analytics and machine learning.
- Azure Machine Learning fits best
Organizations committed to the Azure ecosystem
- Databricks Data Intelligence Platform fits best
Teams unifying lakehouse analytics and machine learning
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Side by side
| Feature | Azure Machine Learning 9.2/10 Visit ↗ | Databricks Data Intelligence Platform 8.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.9 |
| Ranking | #1 in Data Science Analytics | #4 in Data Science Analytics |
| Best for | Organizations committed to the Azure ecosystem | Teams unifying lakehouse analytics and machine learning |
| Pricing model | Paid | Free plan + paid |
| Starting price | — | Free plan · 14-day trial |
| Free plan | — | ✓ (best) |
| Free trial | — | 14 days |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Docs | Docs, Community |
| Integrations | 6 integrations | 8 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Azure Machine Learning 0/5 · Databricks Data Intelligence Platform 0/5 | ||
| AutoML | Not checked yet | Not checked yet |
| Model deployment | Not checked yet | Not checked yet |
| GPU compute | Not checked yet | Not checked yet |
| SQL workspace | Not checked yet | Not checked yet |
| Dashboarding | Not checked yet | Not checked yet |
| Specs | ||
| Deployment model | Not checked yet | Not checked yet |
| Primary interface | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
|
|
| Cons |
|
|
| Our verdict | For data scientists, ML professionals, and engineers managing machine-learning work in Azure, Azure Machine Learning covers development through deployment and operations. The cloud service includes automated machine learning, forecasting,… Read the review → |
Databricks Data Intelligence Platform brings data engineering, SQL analytics, machine learning, AI applications, and governance together in a cloud lakehouse environment. Teams can store data with Delta Lake, process batch and streaming… Read the review → |
Strengths and trade-offs
Azure Machine Learning — where it wins
- Automated machine learning, forecasting, and model evaluation workflows
- Supports batch scoring and real-time HTTPS endpoints
- Pipelines and MLOps monitoring support ongoing model operations
Where it doesn't
- Compute and other Azure resources are billed separately
- Cloud deployment only
- Some documented data connections are preview features scheduled for retirement
Databricks Data Intelligence Platform — where it wins
- Combines Delta Lake storage with Apache Spark batch and streaming processing.
- Unity Catalog provides data and AI governance across workloads.
- Connects with tools including dbt Cloud, Power BI, Tableau, and Kafka.
Where it doesn't
- Usage-based pricing varies by cloud, region, product, and contract.
- Its broad scope may exceed the needs of teams seeking a focused analytics tool.
- Cloud deployment only, with docs and community as listed support channels.
- Azure Machine Learning9.2/10 · Paid
A full-lifecycle ML service for teams working within the Azure ecosystem.
Visit AzureFull verdict → - Databricks Data Intelligence Platform8.9/10 · Free plan · 14-day trial
A broad lakehouse platform for teams joining data engineering, SQL analytics, and machine learning.
Visit DatabricksFull verdict →
More comparisons
- Azure Machine Learning vs Amazon SageMaker AI
- Azure Machine Learning vs H2O.ai
- Azure Machine Learning vs Altair AI Studio
- Azure Machine Learning vs Apache Zeppelin
- Azure Machine Learning vs KNIME Analytics Platform
- Databricks Data Intelligence Platform vs H2O.ai
- Databricks Data Intelligence Platform vs Altair AI Studio
- Databricks Data Intelligence Platform vs Apache Zeppelin
All data science analytics comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






