Comparison · Inquir Compute

Cloudflare Workers vs Inquir Compute containers

Edge isolates vs full containers—pick Workers for POP fan-out, Inquir for native modules and private networks.

Situation

Mismatch scenarios

V8 isolate limits and API surfaces are intentional; some libraries and language stacks simply expect a fuller POSIX environment.

Strict edge locality can complicate workflows that must touch private networks.

Where they lead

Workers still win when…

You need global fan-out with minimal origin load.

Your code stays small, deterministic, and free of native extensions.

How Inquir fits

Inquir’s angle

Containers carry heavier dependencies and behave closer to traditional servers.

Heavier stacks integrate with private services and subprocess-friendly patterns more directly.

Capabilities

Capability contrast

Isolation model

Isolates vs containers—different security and compatibility trade-offs.

Languages

Workers emphasize JS/TS and WASM; Inquir highlights Node, Python, Go on containers.

Network

Private network access patterns differ; validate yours explicitly.

Steps

How to evaluate Cloudflare Workers

Compare isolates, latency, and cost against Inquir Compute before you commit.

List constraints

Binary modules, subprocesses, and file system expectations.

Measure latency

Edge POP path vs origin-style paths to upstream dependencies.

Cost model

Blend per-request edge charges with capacity-oriented container pricing where it applies.

Code example

Native module vs isolate

Libraries with native addons or subprocess calls assume a fuller OS image—common in containers, often a poor fit for V8 isolates on the edge.

thumbnail.mjs

import sharp from 'sharp';

export async function jpegThumb(input) {
  return sharp(input).resize(320, 240).jpeg({ quality: 82 }).toBuffer();
}

Fit

Lean Inquir when…

When to use

You need container-faithful runtimes or mixed language services in one platform.

When not to use

Your logic is tiny and benefits from running in hundreds of POPs.

FAQ

Can I use both?

Yes—edge for caching and shielding, origin functions for heavy work, is a common split.

What about Durable Objects patterns?

Map durable state needs to your datastore of choice; compare consistency guarantees explicitly.