Deepnote
FundedCollaborative AI-powered data science platform for enterprise analytics
About Deepnote
Deepnote is a cloud-based data science platform designed to enhance collaboration and productivity for data professionals across enterprises. It supports multiple programming languages including Python, SQL, and R within a single AI-enabled integrated development environment (IDE), enabling teams to perform data exploration, advanced analytics, and machine learning model development seamlessly. Deepnote integrates with over 100 data sources such as Snowflake, BigQuery, and Spark, facilitating direct access to enterprise data warehouses and lakehouses without complex setup.
The platform emphasizes secure and compliant data handling, offering features like role-based access control (RBAC), single sign-on (SSO), and directory synchronization, compliant with SOC 2, HIPAA, and GDPR standards. Deepnote's capabilities include versioning, code reviews, scheduling notebooks, and deploying notebooks as APIs, supporting the entire data lifecycle from ETL pipelines to model serving. It is tailored for enterprise-scale organizations seeking to streamline data workflows, improve collaboration among data scientists, analysts, and product managers, and accelerate data-driven decision-making with AI-assisted automation.
Key Capabilities
- ✓Collaborative notebooks with Python, SQL, and R support
- ✓AI-assisted code generation, refactoring, and debugging
- ✓Integration with 100+ data sources including Snowflake and BigQuery
- ✓Secure access controls with SOC 2 and HIPAA compliance
- ✓Notebook scheduling, API deployment, and GPU-powered compute
Integrations
Other Data Science Platforms Vendors
View allRelated Buyer Guides
Independent evaluation frameworks for this category.
This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .