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A lightweight alternative to Java.

nxCloud
Cachely is a managed implementation of self-hosted remote cache for monorepos. Speed up CI, prove how much time and cost you saved, get build optimization suggestions, safe from cache poisoning (CVE-2025-36852). Turborepo and Bazel on the roadmap.

Which is more popular?
Based on our record, Avian seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | readytalk.github.io | cachely.dev |
| Pricing | ||
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Avian yet.
Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two...
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
AVIAN IO REVIEW: DO NOT Sign Up Before Watching This
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Avian and Cachely.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


There's been plenty but they've fallen aside for various reasons. - GCJ (iirc only pre 1.5-1.6 java support so never with generic versions, not sure if they ever implented JNI but relied on their own so libraries with native bindings had... - Source: Hacker News / almost 4 years ago
Tracking Cachely.dev since Jun 2026.
When comparing Avian and Cachely.dev, you can also consider the following products.

Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
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Connect your database. Get an admin panel. Basedash is an AI-generated interface to visualize, edit, and explore your data.
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Analytics as code - your team and AI agents build and maintain your entire analytics stack together, from ETLs to dashboards, in a git repo you own.
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