LakeFS
DVC
Monte Carlo Data
Git Large File Storage
ArtiVC
Tonic AI
AWS Lake Formation
Dagster
socketify.py
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Based on our record, LakeFS should be more popular than socketify.py. It has been mentiond 6 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 / over 2 years 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 / almost 3 years 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 / almost 3 years 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: over 3 years 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 3 years ago
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
DVC - Diablo Valley College consists of two campuses serving more than 22,000 students in Contra Costa County each semester with a wide variety of program options.
Monte Carlo Data - Monte Carloโs Data Observability platform increases trust in data by eliminating data downtime, so engineers innovate more and fix less.
Git Large File Storage - Git Large File Storage (LFS) replaces large files such as audio samples, videos, datasets, and graphics with text pointers.
ArtiVC - ArtiVC (Artifact Version Control) is a version control system for large files.
Tonic AI - The fake data company
AWS Lake Formation - AWS Lake Formation is a service that lets you build, secure, and manage your data lake on AWS, reducing the set up time from months to days.