FilamentQL VS Cachely.dev

Compare FilamentQL VS Cachely.dev and see what are their differences

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FilamentQL

FilamentQL is a lightweight caching library for GraphQL.

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.

Landing page //
2023-08-23

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2026-08-20
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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 environment variables, and share build cache across CI and every developer's laptop.

Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.

Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.

FilamentQL

Website: github.com
Pricing URL: -
$ Details: -
Release Date: -

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Cachely.dev

Website: cachely.dev
Pricing URL: Official Cachely.dev Pricing
$ Details: freemium
Release Date: 2026 June

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FilamentQL features and specs

GraphQL Optimization
FilamentQL is designed to optimize GraphQL queries, potentially improving performance by reducing the amount of data that needs to be fetched and processed.
Open Source
Being an open-source project, FilamentQL allows for community contributions and transparency, enabling developers to customize and improve the tool as needed.
Enhanced Efficiency
By potentially streamlining database queries and interactions, FilamentQL can lead to more efficient data fetching strategies and reduce server load.
Ease of Integration
FilamentQL can be integrated into existing GraphQL setups, providing an additional layer of optimization without requiring major overhauls to existing systems.

Possible disadvantages of FilamentQL

Limited Adoption
As a project hosted on GitHub with potentially fewer contributors, FilamentQL might not have the widespread community support and ecosystem compared to more established tools.
Learning Curve
Developers may need time to understand and effectively implement FilamentQL, especially if they are new to GraphQL or similar optimization tools.
Potential Stability Issues
Open-source projects can sometimes encounter stability and maintenance challenges, particularly if active development is not sustained over time.
Compatibility Concerns
There might be compatibility issues with certain GraphQL setups or existing libraries, requiring additional effort to make FilamentQL work seamlessly in all environments.

Cachely.dev features and specs

Simplified Caching Setup
Cachely.dev likely offers an easy-to-integrate caching layer that reduces the complexity of manually configuring caching infrastructure, allowing developers to implement caching with minimal setup time.
Performance Improvement
By providing a dedicated caching solution, Cachely.dev can help reduce latency and improve application response times, especially for frequently accessed data or API responses.
Developer-Focused Design
The .dev domain and branding suggest the product is tailored specifically for developers, potentially offering clean APIs, SDKs, and documentation that fit into modern development workflows.
Scalability
As a specialized caching service, it may be built to handle scaling automatically, removing the burden of managing cache infrastructure as traffic grows.
Reduced Backend Load
Effective caching can significantly reduce the load on primary databases and backend services, potentially lowering infrastructure costs and improving overall system reliability.