Cloud DatalabBeta
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 on Google App Engine and orchestrates multiple services automatically 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).
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.
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.
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: the App Engine application, BigQuery, and any additional resources you decide to use, such as Cloud Storage.
- Interactive Data Visualization
- Use Google Charts or matplotlib for easy visualizations.
- Collaborative
- Git-based source control of notebooks with the option to sync with non-Google source code repositories like GitHub and Bitbucket.
- 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.