Software Alternatives, Accelerators & Startups

Iteratively VS Cachely.dev

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

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Iteratively logo Iteratively

Collaborate with your entire team to ship high-quality analytics faster and be confident in the results.
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.
  • Iteratively Landing page
    Landing page //
    2023-08-06
  • Cachely.dev Landing page
    Landing page //
    2026-08-01

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.

Iteratively

$ Details
freemium
Platforms
Web iOS Android JavaScript TypeScript Python Objective-C Ruby .Net Java Kotlin
Release Date
2019 September

Cachely.dev

$ Details
freemium
Platforms
-
Release Date
2026 June

Iteratively features and specs

  • Version Control Integration
    Seamlessly integrates with Git, allowing users to version control their machine learning models, experiments, and data.
  • Experiment Tracking
    Provides tools to track machine learning experiments, making it easier to compare model performance over time.
  • Collaboration
    Facilitates collaborative work among data science teams by offering shared projects and resources.
  • Scalability
    Designed to scale with the needs of different projects, accommodating growth in data and complexity.

Possible disadvantages of Iteratively

  • Learning Curve
    Might have a steep learning curve for users unfamiliar with version control and iterative development approaches.
  • Setup Complexity
    Setting up the environment and integrating it with existing systems can be complex and time-consuming.
  • Cost
    For larger teams or projects, the cost of using advanced features or enterprise solutions can be significant.
  • Limited Offline Support
    Functionality might be limited or require additional setup when working in offline 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.

Iteratively videos

DC_THURS w/ Patrick Thompson, CEO of Iteratively

More videos:

  • Review - ReLiS: A Tool for Conducting Systematic Reviews Iteratively
  • Review - Locally Optimistic Tool Talk - Iteratively

Cachely.dev videos

No Cachely.dev videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Iteratively and Cachely.dev)
Analytics
100 100%
0% 0
Productivity
0 0%
100% 100
Web Analytics
100 100%
0% 0
Developer Tools
51 51%
49% 49

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What are some alternatives?

When comparing Iteratively and Cachely.dev, you can also consider the following products

Segment - We make customer data simple.

nxCloud - nxCloud is a commercial OwnCloud provider

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

Census - the #1 Reverse ETL tool for data teams

Fresh Paint - Microsoft's new painting software with more realistic brushes for Windows 10

Heap - Analytics for web and iOS. Heap automatically captures every user action in your app and lets you measure it all. Clicks, taps, swipes, form submissions, page views, and more.