Databricks Notebooks
Databricks Notebooks: A capable free notebook workspace for collaborative lakehouse analysis and engineering. Ranked #23 of 23 in Data Lakehouse Platforms by our editors (6.6/10); pricing: Free plan · 14-day trial; best for free collaborative lakehouse notebooks.
At a glance
- Editor score6.6 / 10
- PricingFree plan · 14-day trial
- Best forFree collaborative lakehouse notebooks
- Free planYes
- Storage modelBoth
- Founded2013 · San Francisco, California, United States
- Facts checked21 Sep 2026

Where it wins
- Supports Python, SQL, Scala, R, and mixed-language cells
- Real-time editing, comments, permissions, and notebook scheduling
- Connects notebooks to streaming-table workflows and visualizations
Where it doesn't
- Notebook-centered rather than a complete standalone lakehouse platform
- Usage-based paid plans vary by cloud provider and region
- Notebook capability is part of the broader Databricks platform
Our verdict on Databricks Notebooks
Databricks Notebooks is a web-based code editor within the Databricks platform for interactive data analysis, engineering, SQL analytics, and machine learning workflows. It suits teams and individual learners who need collaborative notebooks connected to lakehouse storage, SQL warehouses, governance services, and streaming workloads. Users can work in Python, SQL, Scala, R, and Markdown, execute cells, inspect result tables, create visualizations, and schedule notebook runs as jobs. Real-time editing, comments, and notebook permissions support shared work across a team.
The pricing structure covers both free learning and usage-based deployment. Free Edition supports personal learning and experimentation through one serverless workspace with no payment required. Pay as you go has no up-front costs and charges for products used, with per-second usage granularity. Committed Use Contracts add usage commitments, potential discounts and other benefits, plus flexible commitments across multiple clouds. A 14-day free trial is also available. The published pricing model is freemium, while paid usage varies by cloud provider and region, so organizations should match the plan to their expected workload and commitment level.
Its strongest fit is collaborative notebook work that needs more than an isolated editor: AI assistance can generate, explain, and debug code; notebooks can create and refresh streaming tables; and integrations include Fivetran, Informatica Cloud Data Integration, dbt Cloud, Power BI, Tableau, GitHub, GitLab, and Bitbucket. The tradeoff is scope. Databricks Notebooks is a workspace capability within the broader Databricks Data + AI Platform, so teams seeking a complete lakehouse platform may need the surrounding services rather than notebooks alone. Choose it for multilingual, scheduled, collaborative lakehouse workflows; consider an alternative if the priority is a narrowly focused notebook tool or a separately priced standalone product.
Your product? Our editors can test Databricks Notebooks in depth and publish a review, labelled as paid · from $149/mo →
Databricks Notebooks pricing
All 3 Databricks Notebooks plans and prices →
Databricks Notebooks fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Storage model | Both |
| SQL analytics | Yes |
| ACID transactions | Yes |
| Table format support | Both |
| Streaming ingestion | Yes |
| Governance catalog | Yes |
| Free trial | 14 days |
| Deployment | Cloud |
| Platforms | Web |
| Support | Docs, Community |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 8 integrations: Fivetran, Informatica Cloud Data Integration, dbt Cloud, Power BI, Tableau, GitHub … See all → |
| Pricing | Free plan · 14-day trial (source) |
| Website | databricks.com |
| Facts checked | 21 Sep 2026 |
Databricks Notebooks integrations
Databricks Notebooks lists 8 integrations on its own site.
- Fivetran
- Informatica Cloud Data Integration
- dbt Cloud
- Power BI
- Tableau
- GitHub
- GitLab
- Bitbucket
See all Databricks Notebooks integrations →
Alternatives to Databricks Notebooks
- Databricks Data Intelligence PlatformA broad lakehouse platform for engineering, analytics, streaming, machine learning, and AI.9.4
- DremioA flexible lakehouse for querying diverse data estates across cloud and self-hosted environments.9.1
- Starburst Data PlatformA broad Trino-based lakehouse for federated SQL, ingestion, and governed analytics.8.9
See all Databricks Notebooks alternatives →
Also Ranked In
Databricks Notebooks is ranked in 3 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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