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Microsoft Fabric Notebooks

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Spec score 7.3 #7 of 17 in Ai Data Platforms

What it is

Microsoft Fabric Notebooks is a web-based coding surface for Apache Spark jobs and machine learning experiments. Data engineers and data scientists can import Jupyter .ipynb files and source files in .py, .scala, and .sql formats, then analyze CSV, TXT, JSON, Parquet, and Delta Lake data with Spark. Multiple lakehouses can be attached, with one pinned as default for local-path reads and writes. The Job Scheduler API handles parameterized runs, session and environment settings, runtime and lakehouse selection, monitoring, and cancellation. NotebookUtils works 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 repair code with approval. Security includes Entra ID authentication, encryption, private links, customer-managed keys, and outbound protection.

Spec sheet

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.Read 12 Oct 2026 · learn.microsoft.com
Free plan
YesRead 20 Sep 2026 · learn.microsoft.com
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.Read 12 Oct 2026 · learn.microsoft.com
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.Read 12 Oct 2026 · learn.microsoft.com
Automation
The Job Scheduler API supports parameterized notebook runs, session configuration, environment and runtime selection, lakehouse selection, run monitoring, and cancellation.Read 12 Oct 2026 · learn.microsoft.com
Collaboration
Multiple users can co-edit a notebook, see collaborators’ cursors and run output, and add cell-level comments.Read 12 Oct 2026 · learn.microsoft.com
Copilot
Copilot can generate, refactor, summarize, and validate notebook code and suggest fixes for failed cells or Spark jobs, with approval-based code changes.Read 12 Oct 2026 · learn.microsoft.com
Data formats
Notebooks use Spark to analyze raw formats such as CSV, TXT, and JSON, as well as Parquet and Delta Lake files.Read 12 Oct 2026 · learn.microsoft.com
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.Read 12 Oct 2026 · learn.microsoft.com
Lakehouse integration
Users can attach multiple lakehouses, pin a default lakehouse, and read or write to it using local paths.Read 12 Oct 2026 · learn.microsoft.com
Languages and formats
Notebooks can import Jupyter .ipynb files and source files including .py, .scala, and .sql.Read 12 Oct 2026 · learn.microsoft.com
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.Read 12 Oct 2026 · learn.microsoft.com
Storage integrations
NotebookUtils provides file operations across ADLS Gen2, Azure Blob Storage, and Lakehouse storage, and can retrieve secrets from Azure Key Vault.Read 12 Oct 2026 · learn.microsoft.com
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.Read 12 Oct 2026 · learn.microsoft.com

Plans and prices

Fabric trial capacity Free 60-day free trial; each user receives a fixed 64 CU trial capacity Use across Fabric workloads · trial capacity only Read 12 Oct 2026 · microsoft.com
Fabric capacity (pay-as-you-go or reservation) Priced on request Usage-based shared capacity; pay-as-you-go or 1- or 3-year reservation; regional prices shown by selecting pricing options F2–F8192 capacity SKUs · Notebook use is covered by Fabric capacity · storage may be billed separately Read 12 Oct 2026 · azure.microsoft.com

Every Microsoft Fabric Notebooks plan and price →

Strong points and limits

Strong points

  • Imports Jupyter and common source formats
  • Spark handles Parquet and Delta Lake
  • Parameterized scheduling and run monitoring
  • Multi-user co-editing with cell comments
  • Copilot-assisted code changes

Limits

  • Built-in and environment storage limited to 500 MB each
  • Maximum file size is 100 MB
  • Free capacity lasts 60 days
  • Some downstream automation requires a user principal

Who it suits

It suits data engineers and data scientists working with Spark notebooks, lakehouses, and scheduled jobs. Teams needing collaborative editing, storage connectors, or API-driven execution can evaluate its controls and limits.

Verdict

Fabric Notebooks combines Spark development, lakehouse access, collaboration, scheduling, and governed automation in a web interface. The free option is a 60-day trial with fixed 64 CU capacity per user; paid capacity is usage-based or reserved, with storage potentially billed separately.

Where Specifiction places it

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