FEATURES
NEW FEATURES
- Analyze data and share insights in full featured Jupyter Notebooks
- Customize powerful computing environments for Machine Learning and AI research
DATA STORAGE AND DISCOVERY
- Upload numeric, text, structured, and unstructured data using files or APIs
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Curate and tag rich metadata for easy discovery
- Search across datasets, metadata and variables
DATA ANALYSIS AND EXPLORATION
- Filter, merge, and analyze billions of records in real time
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Use visual interface or APIs for analysis
- Do mashups with ease and bring disparate datasets together
COLLABORATION
- Analyze, visualize, and share data within Columbia and beyond
- Set granular access to datasets, projects, and analysis
- Automated version control and usage tracking
- Export data and visualizations to multiple formats
DATA ARCHIVE
- Move datasets between hot-cold-archive storage to reduce cost
- Persistent links to archive data for reproducibility
- Data is always available instantly
GET STARTED
To view overviews of public datasets, click here. To view protected datasets or to upload your own, request an account.
Have an account? Log in.
ABOUT
Columbia Data Platform uses Google Cloud Platform for storage and compute and is powered by Redivis.