Head-to-head · Ai Data Platforms
Databricks Data Intelligence Platform vs Microsoft Fabric Notebooks
Databricks Data Intelligence Platform leads on 0 checks, Microsoft Fabric Notebooks on 0, and 1 is 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 scoreDatabricks Data Intelligence Platform · 9.3/10
- Free planboth
- Free trialboth
Databricks Data Intelligence Platform scores higher on our rubric for ai data platforms: 9.3 against 8.7 out of 10; our editors rank them #1 and #6.
Databricks Data Intelligence Platform is the better fit for mid-market and enterprise lakehouse teams. Microsoft Fabric Notebooks is the better fit for fabric users developing notebooks and data workflows.
- Databricks Data Intelligence Platform fits best
Mid-market and enterprise lakehouse teams
- Microsoft Fabric Notebooks fits best
Fabric users developing notebooks and data workflows
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Side by side
| Feature | Databricks Data Intelligence Platform 9.3/10 Visit ↗ | Microsoft Fabric Notebooks 8.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 8.7 |
| Ranking | #1 in Ai Data Platforms | #6 in Ai Data Platforms |
| Best for | Mid-market and enterprise lakehouse teams | Fabric users developing notebooks and data workflows |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | Free plan · 14-day trial | Free plan · pricing on request · 60-day trial |
| Free plan | ✓ | ✓ |
| Free trial | 14 days | 60 days |
| Free trial length | 14 days · no card needed | 60 days |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Support | Docs, Community | Docs |
| Integrations | 8 integrations | 6 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Databricks Data Intelligence Platform 0/3 · Microsoft Fabric Notebooks 0/3 | ||
| Data governance | Not checked yet | Not checked yet |
| Data preparation | Not checked yet | Not checked yet |
| Vector search | Not checked yet | Not checked yet |
| Specs | ||
| Deployment options | Not checked yet | Not checked yet |
| Data connectors | Not checked yet | Not checked yet |
| Supported data types | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Databricks Data Intelligence Platform brings data engineering, SQL analytics, machine learning, AI applications, and governance into a cloud platform. Its scope suits mid-market and enterprise teams building a governed lakehouse,… Read the review → |
Microsoft Fabric Notebooks is a web-based coding environment for data scientists and data engineers developing Spark-based data workflows in Fabric. It supports Python, Scala, SQL, and R, with tools for ingestion, preparation,… Read the review → |
Strengths and trade-offs
Databricks Data Intelligence Platform — where it wins
- Combines Delta Lake, SQL, batch and streaming, ETL, and machine learning.
- Unity Catalog covers data and AI governance.
- Includes AI/BI dashboards, Genie experiences, workflows, and deployment automation.
Where it doesn't
- Cloud deployment only.
- Usage-based pricing varies by cloud provider, region, product, and contract.
- Support channels are documentation and community.
Microsoft Fabric Notebooks — where it wins
- Authors Spark notebooks in Python, Scala, SQL, and R.
- Runs notebooks interactively, on schedules, through pipelines, or via APIs.
- Supports real-time collaboration and Copilot code assistance.
Where it doesn't
- Integrations are centered on Fabric and related Microsoft tools.
- Free license creation of non-Power BI items requires Fabric or trial capacity.
- Paid pricing depends on capacity and is not a simple fixed subscription.
- Databricks Data Intelligence Platform9.3/10 · Free plan · 14-day trial
A broad lakehouse platform for teams combining data engineering, SQL, governance, and AI.
Visit DatabricksFull verdict → - Microsoft Fabric Notebooks8.7/10 · Free plan · pricing on request · 60-day trial
A Fabric-centered notebook environment for Spark workflows, collaboration, and ML.
Visit siteFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






