Build Cache Comparison
Build caches all avoid repeated work, but they differ in what they store and how granular the reuse is. This comparison covers the most common remote build caches — Turborepo Remote Cache, Nx Cloud, Bazel's remote cache, and Ionify Cloud.
The two families of build cache
- Task-output caches store the result of a whole command and replay it when inputs match (Turborepo, Nx). Simple and effective for monorepos, but coarse — one changed input re-runs the task.
- Content-addressed artifact caches store individual build artifacts by their content hash and reuse them at a fine grain (Bazel, Ionify). More granular reuse, and naturally deduplicated.
Side by side
| System | Cache unit | Granularity | Remote sharing | Warms local dev | Notes |
|---|---|---|---|---|---|
| Turborepo Remote Cache | Task output | Per task | Vercel / self-host | Partial | Orchestrates your tools |
| Nx Cloud | Target output | Per target | Hosted + DTE | CI-focused | Plugin ecosystem, task distribution |
| Bazel remote cache | Action output | Per action | gRPC / HTTP | Yes | Powerful but heavy adoption cost |
| Ionify Cloud | Dependency + transform artifacts | Per module · dependency · chunk | Push / hydrate | Yes | The engine owns the cache |
What "granularity" means in practice
With a task-output cache, changing one file usually invalidates the whole task. With a content-addressed artifact cache, only the artifacts whose content changed are recomputed; everything else is reused. Ionify takes this further with a persistent dependency graph so the dev server, bundler, and cloud cache all reuse the same content-addressed artifacts — across dev, build, and CI.
How Ionify Cloud fits
Ionify Cloud is a content-addressed cache with push (CI uploads after a build) and hydrate (any machine warms to the exact module set it needs). Because Ionify is the build engine, the same cache that speeds CI also speeds local development — there is no separate dev cache to keep in sync.
Cache integrity and supply-chain safety
A remote build cache shares artifacts across machines and CI, which turns the cache into a supply-chain surface: a poisoned or tampered entry can inject compromised output into every consumer. Most remote caches today secure transport and access and trust an artifact by its input key.
Ionify's content-addressed model identifies every artifact by the hash of its bytes, so tampering changes the address — a foundation already in place. On the roadmap, Ionify is extending this with signed artifacts and fail-closed validation (reject on a signature or identity mismatch rather than serve suspect bytes), so the cache can defend against poisoning at the module level. This is an architecture direction, not a shipped feature yet.
Related comparisons
FAQ
What is the best build cache?
It depends on your stack. Task-output caches (Turborepo, Nx) are great for orchestrating monorepo tasks; content-addressed caches (Bazel, Ionify) reuse work at a finer grain. Ionify is the option where the engine itself owns a module-level cache shared across dev and CI.
What is the difference between a task cache and a content-addressed cache?
A task cache replays the output of a whole command when inputs match. A content-addressed cache stores individual artifacts by content hash and reuses each one independently, so small changes reuse far more.
Does Ionify Cloud work in CI and locally?
Yes — the same content-addressed cache warms both, because Ionify is the dev server and the bundler, not a wrapper around them.