[N] Google releases TensorStore for High-Performance, Scalable Array Storage

Blog post: [https://ai.googleblog.com/2022/09/tensorstore-for-high-performance.html](https://ai.googleblog.com/2022/09/tensorstore-for-high-performance.html)

GitHub: [https://github.com/google/tensorstore](https://github.com/google/tensorstore)

Documentation: [https://google.github.io/tensorstore/](https://google.github.io/tensorstore/)

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Today we are introducing [TensorStore](https://github.com/google/tensorstore), an open-source C++ and Python software library designed for storage and manipulation of *n-*dimensional data that:

* Provides a uniform API for reading and writing multiple array formats, including [zarr](https://zarr.readthedocs.io/en/stable/) and [N5](https://github.com/saalfeldlab/n5).
* Natively supports [multiple storage systems](https://google.github.io/tensorstore/kvstore/index.html), including [Google Cloud Storage](https://google.github.io/tensorstore/kvstore/gcs/index.html), [local and network filesystems](https://google.github.io/tensorstore/kvstore/file/index.html), [HTTP servers](https://google.github.io/tensorstore/kvstore/http/index.html), and [in-memory storage](https://google.github.io/tensorstore/kvstore/memory/index.html).
* Supports read/writeback caching and transactions, with strong [atomicity, isolation, consistency, and durability](https://en.wikipedia.org/wiki/ACID) (ACID) guarantees.
* …

google machinelearning performance releases scalable storage