DataRobot vs Deepnote

DataRobot is a platform for developing, delivering, and governing agentic, generative, and predictive AI solutions. Its Agent Workforce Platform supports building production agents, deploying them across infrastructure, and governing them organization-wide. Development tools include data and tool registries, a vector store, code-first workflows, and workflow evaluation and comparison. Integrations cover business applications, LLMs, APIs and frameworks, data platforms, and AI infrastructure, with documented connections to AWS, Azure, Google Cloud, and Snowflake. The platform can run on-premise, in a virtual private cloud, or as software as a service. DataRobot says it encrypts data in transit and at rest and supports SAML single sign-on, multifactor authentication, and LDAP for self-managed customers. It lists ISO 27001 and SOC 2 Type II certifications. Pricing is on request, with a 30-day trial. The trial costs nothing, allows up to five team members, and deletes data and assets 30 days after expiration unless the user contacts Sales.

Deepnote is an AI workspace for data professionals working on data analysis, exploration, and machine learning. Its copilot can chat with data, make charts, and write code; notebooks can also become dashboards or interactive apps with live data. Teams can collaborate in notebooks, comment on blocks, and share work by link or email invitation. Notebooks can run on hourly, daily, weekly, or monthly schedules, or be deployed as APIs. Listed integrations include PostgreSQL, BigQuery, Amazon S3, MySQL, Snowflake, GitHub, and dbt. Deepnote supports Python, SQL, R, and Stata, with a hybrid execution model and notebook formats including .deepnote, .ipynb, .qmd, .py, and PDF. The free plan allows up to three editors and five projects, with seven-day revision history. Paid pricing starts at $39/user/mo (annual); a 14-day trial is listed. Deepnote says it has SOC 2 Type II certification, encrypts data at rest and in transit, and does not use customer data to improve AI or ML models.