Cloud Datalab Beta

An easy to use interactive tool for large-scale data exploration, analysis, and visualization

Try It Free

Powerful Data Exploration

Cloud Datalab is a powerful interactive tool created to explore, analyze and visualize data with a single click on Google Cloud Platform. It runs locally and optionally on Google Compute Engine and connects to multiple cloud services easily so you can focus on exploring your data.

Integrated & Open Source

Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of modules and a robust knowledge base. Cloud Datalab enables analysis of your data on Google BigQuery, Google Compute Engine, and Google Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions).


Whether you're analyzing megabytes or gigabytes, Cloud Datalab has you covered. Once you are satisfied with your transformation and analysis models, deploy them to BigQuery with the click of a button.

Data Management & Visualization

Use Cloud Datalab to gain insight from your data. Interactively explore, transform, analyze, and visualize your data using BigQuery, Cloud Storage and Python. Build machine learning models using TensorFlow.

Cloud Datalab Features

An easy to use interactive tool for large-scale data exploration, analysis, and visualization.

Cloud Datalab handles authentication, cloud computation out-of-the-box and is integrated with BigQuery, Compute Engine, and Cloud Storage.
Multi-Language Support
Cloud Datalab currently supports Python, SQL, and JavaScript (for BigQuery user- defined functions).
Notebook Format
Cloud Datalab combines code, documentation, results, and visualizations together in an intuitive notebook format.
Pay-per-use Pricing
Only pay for the cloud resources you use: Google Compute Engine VMs, BigQuery, and any additional resources you decide to use, such as Cloud Storage.
Interactive Data Visualization
Use Google Charts or matplotlib for easy visualizations.
Machine Learning
Supports TensorFlow-based deep ML models in addition to scikit-learn.
Open Source
Developers wishing to extend Cloud Datalab can fork and/or submit pull requests on the GitHub hosted project.
Custom Deployment
Specify your minimum VM requirements, the network host, and more.
IPython Support
Cloud Datalab is based on Jupyter (formerly IPython) so you can use a large number of existing packages for statistics, machine learning, etc. Learn from published notebooks and swap tips with a vibrant IPython community.
Beta: This is a Beta release of Google Cloud Datalab. This feature is not covered by any SLA or deprecation policy and may be subject to backward-incompatible changes.