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Can you elaborate? I can't figure out what you're referring to with just that, but I wonder whether it's a silly nickname for a common limitation of databases?

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HDFS is the Hadoop distributed file system, but maybe they meant HDF5 files, which is a format the Pandas library saves in. That makes use of Numpy's n-dimensional arrays, so it's related to what these guys are working on.

Yeah my typo - I was trying to understand with limited time budget TileDB and their marketing pitch - they mentioned something like "the problem of knowing where to keep data was solved by traditional databases, now its solved by us"

On a dumb level I was just wondering if they are tracking the data sets people create - it does seem more like a data policy than a product. But I may not understsnd it well

TileDB Embedded is a storage engine like HDF5, with the following differentiators: (1) it is cloud-native, (2) it supports also sparse arrays, (3) it offers rapid updates, (4) it supports data versioning and time traveling built into its format. TileDB Cloud (our cloud SaaS solution) further allows you to see which arrays you own in the cloud and which ones you share with others, along with full access logs. You can also attach arbitrary descriptions and metadata that can search on, even find and access public datasets posted by you or others.

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