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Deepnote
Collaborative analytics & data science notebook platform for exploring data with Python & SQL, team collaboration, and sharing insights.
- Founded
- 2019
- Headquarters
- 🌎
- Company size
- Not disclosed
- Products tracked
- 2
Products by Deepnote
Customer voice
Customer testimonials
Quotes published on Deepnote's official website.
Deepnote has been a crucial addition to our strong tech stack at Homa. It’s fantastic for harnessing our massive player data on Redshift, helping us fine-tune our games to delight our players. It’s not just helpful, it’s a key player in making our games more enjoyable!
It always surprises stakeholders how fast we work with Deepnote. We discuss something in the morning and we have results to share in the same afternoon.
Implementing Deepnote was as easy as connecting to BigQuery, and analysts were quickly using Deepnote as their preferred tool for analytics.
Pricing for Deepnote
Subscription, Usage Based, Tiered
This is the broad commercial model reported for Deepnote. Product-level terms are listed below when available.
- Pricing model
- Usage Based, Tiered
- Entry option
- Free plan and Free trial
- Starting price
- Free forever (limited)
- Pricing model
- Subscription, Tiered
- Entry option
- Free plan and Free trial
- Starting price
- Free forever
Trust profile
Security and compliance
SOC 2 Type I
SOC 2 Type II
HIPAA
GDPR
CCPA/CPRA
encryption_at_rest
penetration_testing
access_controls
business_continuity_and_disaster_recovery
unique_production_database_authentication
unique_account_authentication
asset_disposal_procedures
production_inventory_maintained
portable_media_encryption
control_self_assessments
cybersecurity_insurance
data_retention_procedures
customer_data_deleted_upon_leaving
data_classification_policy
Latest updates from Deepnote
New featureSecurity
Deepnote Updates: EU AI Hosting, UI Redesign, and Scheduled Task Reliability
Deepnote released several feature updates including a revamped project settings interface, automatic schedule pausing for failed notebooks, and a new trash recovery feature for deleted projects. Additionally, Enterprise customers gain the ability to use EU-hosted OpenAI models via Microsoft Azure's Sweden Central region to meet data compliance requirements. New API and MCP (Model Context Protocol) updates were also introduced to allow programmatic notebook duplication and project URL generation for AI agents.
IntegrationOpenAIMentionedMicrosoft Azure
New featureSecurity
Deepnote Adds Pivot Table Blocks, Git Directory Sync, and Improved AI Context
Deepnote introduced several platform enhancements, including new Model Context Protocol (MCP) tools for automated integration management, a dedicated pivot table block, and Git directory synchronization. The platform also updated security controls for MCP OAuth grants and added OAuth-based BigQuery support to the VS Code extension. Other improvements include improved AI agent context, new AI model selections, collapsible notebook sections, and expanded SQL support for R-based environments.
