You can use Earthmover to store, organize, and query massive scientific datasets in the cloud. It converts binary formats like NetCDF, HDF5, and GRIB into multidimensional data arrays without copying files. You can manage data governance, access controls, and version history across buckets using Arraylake. Earthmover runs compute tasks directly beside your cloud storage, letting you stream analysis-ready data into Python, Rust, Jupyter notebooks, or machine learning pipelines. You can also connect AI assistants like Claude or Cursor using built-in Model Context Protocol servers.
What Earthmover does
Pricing breakdown
Pricing model: Free
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