AWS SageMaker vs Databricks: Which is Better in 2026?
Choosing between AWS SageMaker and Databricks comes down to understanding what each tool does best. This comparison breaks down the key differences so you can make an informed decision based on your specific needs, not marketing claims.
Bottom line: Databricks is our overall pick for data & databases workflows. Pick AWS SageMaker if you need AI & automation.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
AWS SageMaker
The integrated studio for building, training, and deploying AI and ML models with unified data access.
Best for you if:
- • You need AI & automation features specifically
- • Unified platform for building, training, and deploying ML and generative AI models.
- • Integrated development environment with a lakehouse architecture for data access and governance.
Databricks
Unified analytics for data engineering, science, and ML
Best for you if:
- • You need data & databases features specifically
- • Data and AI platform using consumption-based DBU pricing from $0.07 to $0.65+/DBU
- • Lakehouse combines data lake and warehouse on AWS, Azure, or GCP with Spark engine
| At a Glance |  AWS SageMaker |  Databricks |
|---|---|---|
Starts at | Paid | Paid |
Best For | AI & Automation | Data & Databases |
Rating | - | - |
Choose AWS SageMaker or Databricks?
Choose AWS SageMaker if
The integrated studio for building, training, and deploying AI and ML models with unified data access.
- Comprehensive suite of tools covering the entire AI lifecycle
- Unified access to diverse data sources through a lakehouse architecture
- Strong emphasis on enterprise-grade security and governance
- Your work is AI & automation-shaped, not data & databases-shaped
Choose Databricks if
Unified analytics for data engineering, science, and ML
- Unified platform
- Great collaboration
- Delta Lake
- Your work is data & databases-shaped, not AI & automation-shaped
| Feature | AWS SageMaker | Databricks |
|---|---|---|
| Pricing Model | Paid | Paid |
| User Rating | ★4.5/5 163 reviews | ★4.6/5 667 reviews |
| Categories | AI & AutomationCloud & Infrastructure | Data & DatabasesAnalytics |
In-Depth Analysis
AWS SageMaker
The integrated studio for building, training, and deploying AI and ML models with unified data access.
Strengths
- +Comprehensive suite of tools covering the entire AI lifecycle
- +Unified access to diverse data sources through a lakehouse architecture
- +Strong emphasis on enterprise-grade security and governance
- +Accelerates development with AI assistance and managed infrastructure
- +Seamless integration with other AWS services like Amazon Redshift and S3
Weaknesses
- -Can have a steep learning curve for new users unfamiliar with AWS ecosystem
- -Cost can become significant for large-scale or complex workloads
- -Requires careful management of AWS resources to optimize performance and cost
Key features
Databricks
Unified analytics for data engineering, science, and ML
Strengths
- +Unified platform
- +Great collaboration
- +Delta Lake
Weaknesses
- -Expensive
- -Vendor lock-in
Key features
Pricing: AWS SageMaker vs Databricks
| Plan | AWS SageMaker | Databricks |
|---|---|---|
| Tier 1 | N/A | Community Edition |
| Tier 2 | N/A | /DBU Jobs Compute |
| Tier 3 | N/A | /DBU All-Purpose |
| Tier 4 | N/A | /DBU SQL Compute |
Pricing verified from each vendor's public pricing page. Compare in detail on AWS SageMaker pricing and Databricks pricing.
Who Should Use What?
On a budget?
Both are paid. Compare plans on their websites.
Go with: Databricks
Want the highest-rated option?
Neither has user reviews yet.
Go with: AWS SageMaker
Value user reviews?
Neither has user reviews yet.
Go with: Databricks
3 Questions to Help You Decide
What's your budget?
Both are paid. Pricing won't help you decide here.
What's your use case?
AWS SageMaker is a AI & automation tool. Databricks is in data & databases. Pick the category that matches your needs.
How important are ratings?
Neither has user reviews yet.
Key Takeaways
Databricks
- Higher user rating: 4.6/5 vs 4.5/5
- Larger review base (667 reviews)
- Our pick for this comparison
AWS SageMaker
- Better fit for AI & automation
The Bottom Line
Databricks is our pick.
Frequently Asked Questions
Is AWS SageMaker or Databricks better?
Databricks is rated in our evaluation. Both are paid.
What are AWS SageMaker and Databricks used for?
AWS SageMaker: The integrated studio for building, training, and deploying AI and ML models with unified data access.. Databricks: Unified analytics for data engineering, science, and ML.
What does AWS SageMaker cost vs Databricks?
AWS SageMaker is a paid tool. Databricks is a paid tool. Visit their websites for detailed pricing.