Cloud Datalab Beta
An easy to use interactive tool for large-scale data exploration, analysis, and visualization
Try It FreePowerful 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.
![](http://web.archive.org./web/20161021100503im_/https://cloud.google.com/images/products/artwork/datalab-dashboard.png)
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).
![](http://web.archive.org./web/20161021100503im_/https://cloud.google.com/images/products/artwork/datalab-integrated.png)
Scalable
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.
![](http://web.archive.org./web/20161021100503im_/https://cloud.google.com/images/products/artwork/mobile-scale.png)
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.
![](http://web.archive.org./web/20161021100503im_/https://cloud.google.com/images/products/artwork/laptop-datavis.png)
![](http://web.archive.org./web/20161021100503im_/https://cloud.google.com/images/products/logos/datalab-symbol.png)
Cloud Datalab Features
An easy to use interactive tool for large-scale data exploration, analysis, and visualization.
- Integrated
- 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.