Azure Synapse vs Databricks: Which is Better in 2026?
Choosing between Azure Synapse 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 Azure Synapse if you need data warehouses.
Short on time? Here's the quick answer
We've tested both tools. Here's who should pick what:
Azure Synapse
Analytics service combining data warehousing and big data
Best for you if:
- • You need data warehouses features specifically
- • Azure Synapse Analytics combines data warehousing and big data analytics in one service
- • It queries data lakes and warehouses with SQL or Spark at massive scale
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 |  Databricks | |
|---|---|---|
Starts at | $5/TB processedServerless SQL | Paid |
Best For | Data Warehouses | Data & Databases |
Rating | - | - |
Choose Azure Synapse or Databricks?
Choose Azure Synapse if
Analytics service combining data warehousing and big data
- Analytics workspace
- Azure integration
- Good for big data
- Your work is data warehouses-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 data warehouses-shaped
| Feature | Azure Synapse | Databricks |
|---|---|---|
| Pricing Model | Paid | Paid |
| User Rating | ★4.3/5 147 reviews | ★4.6/5 667 reviews |
| Categories | Data WarehousesBig Data Analytics | Data & DatabasesAnalytics |
In-Depth Analysis
Azure Synapse
Analytics service combining data warehousing and big data
Strengths
- +Analytics workspace
- +Azure integration
- +Good for big data
- +Active development
- +Good features
Weaknesses
- -Complex pricing
- -Azure dependency
- -Learning curve
- -Feature complexity
- -Expensive at scale
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: Azure Synapse vs Databricks
| Plan | Azure Synapse | Databricks |
|---|---|---|
| Tier 1 | $5 /TB processed Serverless SQL | Community Edition |
| Tier 2 | Varies Dedicated SQL | /DBU Jobs Compute |
| Tier 3 | Varies Apache Spark | /DBU All-Purpose |
| Tier 4 | N/A | /DBU SQL Compute |
Pricing verified from each vendor's public pricing page. Compare in detail on Azure Synapse 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: Azure Synapse
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?
Azure Synapse is a data warehouses 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 4.3/5
- Larger review base (667 reviews)
- Our pick for this comparison
Azure Synapse
- Better fit for data warehouses
The Bottom Line
Databricks is our pick.
Frequently Asked Questions
Is Azure Synapse or Databricks better?
Databricks is rated in our evaluation. Both are paid.
What are Azure Synapse and Databricks used for?
Azure Synapse: Analytics service combining data warehousing and big data. Databricks: Unified analytics for data engineering, science, and ML.
What does Azure Synapse cost vs Databricks?
Azure Synapse is a paid tool. Databricks is a paid tool. Visit their websites for detailed pricing.