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Facts checked against both vendors on September 28, 2026.
Deepnote is the pick for a working data team that needs scheduled notebooks, 60+ data source integrations, git sync and real production compute; it costs $39 per editor a month on the Team plan. DataLab is the pick for learners, educators and individuals who want an AI-assisted notebook with a generous free tier and a low-friction upgrade, but it is not built for team operations at scale.
Revolutionize data analysis with AI-driven notebook automation and security.. [Freemium]
Deepnote and DataCamp DataLab are both cloud data notebooks with an AI assistant that writes and runs code for you. They come from different places. Deepnote is a collaborative notebook platform built for data teams, with SQL blocks, Python, dashboards, scheduling and enterprise controls. DataLab is DataCamp's notebook, designed so that people at any skill level can ask questions in plain language and have the AI write SQL and Python in the background, with a clear tie-in to DataCamp's learning products. This comparison covers what each offers, the published plans and limits as of September 2026, and which fits which kind of user.
Deepnote is a notebook workspace for Python and SQL. Its documentation describes SQL blocks alongside code and visualizations on a flexible canvas, 60+ data sources including Snowflake, BigQuery, Redshift, PostgreSQL, MongoDB, MySQL, S3, GCS, Azure, Slack, Airtable and Notion, and the ability to turn notebooks into dashboards and data apps, including Streamlit. AI features include Auto AI for writing and debugging code, a context-aware copilot, and the Deepnote Agent, which can create and edit blocks, run code and inspect outputs. Notebooks can be scheduled to run in the background with notifications, synced to GitHub, GitLab, Azure Repos or Bitbucket, and run on configurable machines including GPUs.
DataLab is DataCamp's AI-powered data notebook. Its product page describes an AI chat that writes and runs SQL and Python in the background to answer questions, with the generated code visible so you can review, edit and rerun it. It connects to PostgreSQL, Snowflake, MySQL, BigQuery, Google Sheets, Airtable, MongoDB and Databricks as well as uploaded files, and can turn an analysis into a shareable report. Educators get complimentary access through classroom accounts.
Deepnote's Free plan allows up to 3 editors, 5 projects, 7 days of revision history, basic machines with 5 GB RAM and 2 vCPU, a 15-minute inactivity shutdown, 10 AI code completions a month and 5 Deepnote Agent calls a month, with unlimited viewers. The Team plan is $39 per editor a month when billed yearly (a 20 percent discount on monthly), and includes unlimited viewers and notebooks, 30-day revision history, a 24-hour inactivity period, $39 of AI credits, $280 of CPU and $50 of GPU each month, premium integrations, background execution and scheduling, access controls, git sync and custom Docker images. Enterprise is custom and adds unlimited AI, editors, projects and history, single-tenancy, SSH tunnels and HIPAA.
DataLab's Starter plan is free and includes up to three workbooks, 15 AI prompts, 4 GB RAM and 2 vCPUs. The DataLab docs add that a Starter workbook can hold up to 5 GB of files and keep 30 days of version history. Premium gives unlimited workbooks, unlimited AI prompts, 16 GB RAM and up to 8 vCPUs, scheduled runs, up to 20 GB of files per workbook and one year of version history. Teams adds unlimited data integrations and group management for two people or more, and DataCamp asks organizations of 35 or more to contact sales. DataCamp does not print the Premium or Teams price on its public DataLab pricing page; the price appears on the checkout page after you sign in, so we do not quote one here.
Deepnote wins on everything a data team needs after the first analysis. Scheduled background execution, git sync, custom Docker images, access controls and 60+ integrations are the difference between a notebook and a small analytics platform. The Team plan's monthly $280 of CPU and $50 of GPU mean real workloads run without begging for compute, and the 24-hour inactivity window suits long jobs.
It also wins on publishing. Turning a notebook into a dashboard or a Streamlit app, with free viewers who can interact with the data, lets analysts ship results without a separate BI tool. And single-tenancy, SSH tunnels and HIPAA are enterprise options DataLab does not advertise.
DataLab wins on accessibility. The AI chat is the front door, the generated SQL and Python are shown for review, and a beginner can get a real answer from a real dataset without knowing the syntax. The free Starter tier is a genuine working environment with three workbooks and database connections, not a locked demo.
It also wins for education. Classroom accounts are complimentary for educators, and DataLab sits next to DataCamp's courses, so a student can move from a lesson to a live notebook on the same platform. For individuals, the upgrade to Premium unlocks unlimited workbooks and AI prompts, 16 GB RAM and scheduled runs in a single step.
Pick Deepnote if you are a data team of any size that needs scheduled pipelines, version control, shared connections and dashboards, or if you need enterprise controls. Budget $39 per editor a month on the yearly Team plan.
Pick DataLab if you are learning, teaching, or working alone and want an AI assistant that does the coding while you focus on the question, and if you would rather pay an individual subscription than per-editor team pricing. If you find yourself needing git, Docker or GPU compute, that is your signal to move to Deepnote.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Deepnote Free covers up to 3 editors, 5 projects, 5 GB RAM machines and limited AI. Team is $39 per editor a month billed yearly (20 percent off monthly) with $39 of AI credits, $280 of CPU and $50 of GPU each month, scheduling and git sync. Enterprise is custom.
DataLab Starter is free with three workbooks, 15 AI prompts and 4 GB RAM. Premium adds unlimited workbooks and AI prompts, 16 GB RAM, up to 8 vCPUs and scheduled runs; Teams adds unlimited data integrations for two or more people. DataCamp does not print the Premium or Teams price on its public pricing page.