DataLab

AI data notebook that writes, runs and explains code for you

Beginner
Screenshot of DataLab, AI data notebook that writes, runs and explains code for you

What is DataLab?

DataLab is DataCamp's AI data notebook: connect files, sheets or warehouses, ask questions in text, and get answers backed by reviewable SQL and Python code in a shareable notebook.

DataLab is a browser-based data notebook from DataCamp that pairs a conversational AI assistant with a full coding environment. Users upload a file or connect a database, describe what they want to know in plain text, and the assistant answers by writing and running SQL or Python behind the scenes. Because the generated code lives in an editable notebook rather than disappearing into a chat transcript, the reasoning stays visible and can be inspected, adjusted and rerun. The AI layer is not a bare wrapper around a general model. DataLab inspects the schema of whatever source is connected and folds in earlier activity and organizational context before sending a question onward, then parses the code output and feeds results back for interpretation. That grounding is what separates it from dropping a spreadsheet into a general chatbot, which cannot attach a warehouse and does not learn from prior work in the same workspace. The product spans two audiences. Analysts and developers get a hosted notebook with pre-installed modules, version history and shareable reports. Less technical staff, including trainers, clinicians and operations people, get a chat entry point that produces answers without writing a line themselves, with the option to hand the underlying code to a technical colleague for verification. Security leans enterprise: ISO 27001:2017 certification, encryption at rest and in transit, single sign-on, multi-factor authentication, directory sync and role-based control over workbooks and data assets. Educators get access at no charge through a classroom account. The main caveat is scope: the assistant needs connected data or an uploaded dataset to do anything, and complex questions can require iteration in the notebook when the first answer misses.

How do you use DataLab?

  1. 1Create a free DataCamp account
    Sign up for DataLab with a DataCamp account. No payment details are needed to reach the free tier, which allows three workbooks.
  2. 2Pick a starting point
    Open the templates or public datasets library if you want sample material to work with, or start an empty workbook for your own project.
  3. 3Attach your data source
    Upload a CSV or Excel file, or connect Google Sheets, BigQuery, Snowflake or another supported database using its credentials. Setup takes minutes.
  4. 4Ask the AI assistant
    Describe the question in plain language. The assistant reads your schema, writes SQL or Python, runs it and interprets the output for you.
  5. 5Review and refine the code
    Switch to the notebook to see exactly what the assistant ran. Tweak, rerun or extend the code so the result is verified rather than assumed.
  6. 6Share the findings
    Turn the workbook into a shareable report and send it to teammates, or grant colleagues access to the underlying data assets.

Pros and cons

Pros

  • AI answers are backed by code you can inspect, edit and rerun inside the same notebookAI
  • Connects to files, Google Sheets and a wide set of warehouses and databases, not just CSVsAI
  • Grounds answers in the schema of your data and your prior activity in the workspaceAI
  • Enterprise controls including SSO, MFA, encryption and role-based accessAI
  • Educators can use it free through a classroom accountAI

Cons

  • Free tier caps you at three workbooks and 15 AI assistant usesAI
  • No public API is described, so programmatic access is not an optionAI
  • Complex or subtle questions often need several iterations and manual code editsAI
  • Useful only once data or warehouse credentials are connected; it is not a standalone analystAI
  • Version history beyond the basics sits behind the Premium tierAI

How much does DataLab cost?

Free trial

No timed trial is described; a permanent free tier covers three workbooks and 15 AI assistant uses, and educators get free access via a classroom account.

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Pricing

Free tier includes up to three workbooks and 15 AI assistant uses. DataLab Premium removes those limits and adds more powerful hardware, extended version history and unlimited AI use, sold either to individuals or as group licenses.

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Support

Setup and connector documentation live on a dedicated docs site, and sales conversations are available through a demo booking page. No public help centre or support tiers are described on the homepage.

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Integrations

Files and Google Sheets plus databases and warehouses including PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, BigQuery, Snowflake, Redshift, Athena, Databricks, MongoDB, Airtable and MotherDuck.

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Features

AI chat that writes and runs SQL and Python in the background, a full notebook with pre-installed modules for reviewing and editing that code, schema-aware and context-aware answers, one-click shareable reports, templates and public datasets, plus version history and role-based workspace controls on paid plans.

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Frequently asked questions about DataLab

  • How much does DataLab cost?
    Free tier includes up to three workbooks and 15 AI assistant uses. DataLab Premium removes those limits and adds more powerful hardware, extended version history and unlimited AI use, sold either to individuals or as group licenses.
  • Does DataLab offer a free trial?
    No timed trial is described; a permanent free tier covers three workbooks and 15 AI assistant uses, and educators get free access via a classroom account.
  • How do you use DataLab?
    The walkthrough on this page covers 6 steps: 1. Create a free DataCamp account 2. Pick a starting point 3. Attach your data source 4. Ask the AI assistant 5. Review and refine the code 6. Share the findings.
  • What platforms does DataLab support?
    DataLab is available on Web App.
  • What does DataLab integrate with?
    Files and Google Sheets plus databases and warehouses including PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, BigQuery, Snowflake, Redshift, Athena, Databricks, MongoDB, Airtable and MotherDuck.
  • What are the limitations of DataLab?
    Free tier caps you at three workbooks and 15 AI assistant uses. No public API is described, so programmatic access is not an option. Complex or subtle questions often need several iterations and manual code edits.

Status

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Added10/21/2026

Platforms

Web App

Pricing

FreemiumSubscription