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Microsoft Fabric Notebooks
What it is
Microsoft Fabric Notebooks is a web-based coding workspace for Apache Spark jobs and machine-learning experiments. Data engineers and data scientists can import Jupyter .ipynb notebooks and source files in .py, .scala, or .sql. Spark handles CSV, TXT, JSON, Parquet, and Delta Lake data. Multiple lakehouses can be attached, with one pinned as default for local-path reads and writes. The Job Scheduler API supports parameterized runs, session settings, environment and runtime selection, lakehouse selection, monitoring, and cancellation. NotebookUtils provides file operations across ADLS Gen2, Azure Blob Storage, and Lakehouse storage, and can retrieve Azure Key Vault secrets. Users can co-edit, see cursors and output, and comment on cells. Copilot can generate, refactor, summarize, validate, and suggest fixes for notebook code, with approval for changes. Microsoft describes Entra ID authentication, encryption, private links, customer-managed keys, and outbound protection.
For and against
For
- Imports Jupyter and common source files
- Supports multiple lakehouse attachments
- Job Scheduler API supports monitoring and cancellation
- Co-editing includes cursors, output, and comments
- Copilot can suggest code fixes
Against
- Free trial capacity lasts 60 days
- Built-in and environment storage each limited to 500 MB
- Files limited to 100 MB each
The verdict
Fabric Notebooks brings Spark analysis, lakehouse access, automation, collaboration, and Copilot into one web workspace. The free option is a 60-day trial; paid capacity pricing is provided on request or through usage-based options.
Who it suits
It suits data engineers and data scientists working with Spark notebooks, lakehouses, and scheduled jobs in a web or API environment. Collaborative teams may value shared editing and cell comments.
Plans and prices
Fabric trial capacity
Use across Fabric workloads · trial capacity only
Read 12 Oct 2026 · microsoft.com
Fabric capacity (pay-as-you-go or reservation)
F2–F8192 capacity SKUs · Notebook use is covered by Fabric capacity · storage may be billed separately
Read 12 Oct 2026 · azure.microsoft.com
On the record
- Automation
- The Job Scheduler API supports parameterized notebook runs, session configuration, environment and runtime selection, lakehouse selection, run monitoring, and cancellation.learn.microsoft.com · read 12 Oct 2026
- Collaboration
- Multiple users can co-edit a notebook, see collaborators’ cursors and run output, and add cell-level comments.learn.microsoft.com · read 12 Oct 2026
- Copilot
- Copilot can generate, refactor, summarize, and validate notebook code and suggest fixes for failed cells or Spark jobs, with approval-based code changes.learn.microsoft.com · read 12 Oct 2026
- Data formats
- Notebooks use Spark to analyze raw formats such as CSV, TXT, and JSON, as well as Parquet and Delta Lake files.learn.microsoft.com · read 12 Oct 2026
- Execution identity
- Interactive runs use the current user identity, pipeline runs use the pipeline’s last modified user, and scheduled runs use the user who created or last updated the schedule.learn.microsoft.com · read 12 Oct 2026
- Lakehouse integration
- Users can attach multiple lakehouses, pin a default lakehouse, and read or write to it using local paths.learn.microsoft.com · read 12 Oct 2026
- Languages and formats
- Notebooks can import Jupyter .ipynb files and source files including .py, .scala, and .sql.learn.microsoft.com · read 12 Oct 2026
- Purpose
- Fabric notebooks are a web-based interactive code surface for Apache Spark jobs and machine learning experiments, used by data engineers and data scientists.learn.microsoft.com · read 12 Oct 2026
- Resource limits
- Notebook built-in and environment resource storage is limited to 500 MB each, with a maximum 100 MB per file and 100 total file or folder instances each.learn.microsoft.com · read 12 Oct 2026
- Security
- Microsoft says Fabric interactions are encrypted and authenticated with Microsoft Entra ID, data at rest is encrypted, and Notebook items support workspace private links, customer-managed keys, and outbound access protection.learn.microsoft.com · read 12 Oct 2026
- Storage integrations
- NotebookUtils provides file operations across ADLS Gen2, Azure Blob Storage, and Lakehouse storage, and can retrieve secrets from Azure Key Vault.learn.microsoft.com · read 12 Oct 2026
- Support
- Eligible Fabric users can create Fabric support tickets from the in-product Help Pane; ticket access depends on the user’s role and license.learn.microsoft.com · read 12 Oct 2026
- Unattended automation
- Service principal authentication is supported for notebook Items REST API operations and Job Scheduler API execution, monitoring, and cancellation, though some downstream services require a user principal.learn.microsoft.com · read 12 Oct 2026
