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FEATURES

screenshot of jupyter notebook in redivis
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 
  • Curate and tag rich metadata for easy discovery

  • Search across datasets, metadata and variables

 

analysis
DATA ANALYSIS AND EXPLORATION
  • Filter, merge, and analyze billions of records in real time
  • 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 

 

collaboration
archive screenshot
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.

 

SUPPORT

Have questions? Please email [email protected].