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Based on our record, Google Cloud Storage should be more popular than LakeFS. It has been mentiond 36 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I would add https://github.com/gaul/s3proxy to your list. - Source: Hacker News / 2 months ago
* data state - this is contents of both your data and metadata at a given point in time. if your data doesn't fit into a single database, this can be difficult to manage. We use this technology to help us: https://lakefs.io/. - Source: Hacker News / 10 months ago
Saltcured, find these comments super insightful! > Yeah, there's a lot of hidden magic/assumptions in having a "writable snapshot of a specific version" of production data. That's absolutely a huge assumption. This technology has been a game changer for us: https://lakefs.io/ > It becomes a headache when there is too much contention to use these sandboxes, or too much manual effort to reset them to a desired... - Source: Hacker News / 10 months ago
You should not store your data in git itself, but rather use git to version your data sets. The currently best option for that is (IMHO) https://lakefs.io though there are a few others in various states of usability/maturity. Source: about 1 year ago
I mean if you're ready to adopt a new framework into your ecosystem this is one of the major usecases for LakeFS. Source: over 1 year ago
Cloud Storage: blog storage for static assets and media files. - Source: dev.to / 5 months ago
Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / 6 months ago
Google Cloud Storage{:target="_blank"} is a globally distributed object storage service offered by Google Cloud Platform. They provide trustworthy and scalable databases for storing large amounts of blob data. They also provide a way to optimize cost and performance with different storage classes and pricing options. - Source: dev.to / 11 months ago
Google Cloud Storage - https://cloud.google.com/storage/. - Source: dev.to / 11 months ago
Also, in terms of packing a pre-trained model you will probably want to puts weights, biases etc into S3 or similar object storage (https://cloud.google.com/storage etc) and load it on application start. Source: about 1 year ago
Seaweed FS - SeaweedFS is a simple and highly scalable distributed file system to store and serve billions of files fast! SeaweedFS object store has O(1) disk seek and SeaweedFS Filer supports cross-cluster replication, POSIX, S3 API, ,…
Minio - Minio is an open-source minimal cloud storage server.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
WekaFS - WekaFS is an extreme-performance parallel filesystem for Linux from WekaIO that works in AWS or on-prem on Industry-Standard Servers. WekaFS includes Enterprise features such as snapshots and tiering to S3 Object Stores.
Azure Blob Storage - Use Azure Blob Storage to store all kinds of files. Azure hot, cool, and archive storage is reliable cloud object storage for unstructured data
JuiceFS - The Shared POSIX File System for the Cloud