Showing entries tagged [zarr]

netCDF vs Zarr, an Incomplete Comparison

Visualization created from netCDF data

At NSF Unidata, we have been supporting and developing netCDF standards and packages since the original release of netCDF in 1990. We strongly believe in the usefulness of netCDF Common Data Model for Earth Systems Science data, and for other types of data! NetCDF files can be used efficiently in machine learning modeling applications and can be used as a virtual Zarr datasets.

NSF Unidata has been urged by our community to investigate options to allow netCDF to work more easily with modern cloud-based infrastructure. Based on the strong interest and rapid adoption of Zarr by the community, the netCDF team decided to begin working with the Zarr community to ensure that these two widely used data storage mechanisms can interoperate if necessary.

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NetCDF and Native Cloud Storage Access via Zarr

NetCDF has historically offered two different storage formats for the netCDF data model: files based on the original netCDF binary format, and files based on the HDF5 format. While this has proven effective in the past for traditional disk storage, it is less efficient for modern cloud-focused technologies such as those provided by Amazon S3, Microsoft Azure, IBM Cloud Object Storage, and other cloud service providers. To that end, the Unidata development team is happy to announce that we are expanding the storage solutions available through the netCDF software libraries.

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News and information from the Unidata Program Center
News@Unidata
News and information from the Unidata Program Center

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