Sandboxer vs Heroku
Heroku is a platform-as-a-service: you push code or a Docker image and it runs in dynos, with add-ons and pipelines. Dynos are hardened containers with an ephemeral filesystem, not machines you control. Pick Heroku to host a conventional web app; pick Sandboxer when an agent needs a full VM.
Checked against Heroku's public docs on October 24, 2026. Sources are linked in the table and listed below.
At a glance
= not documented publicly.
Price for one 4 vCPU, 8 GB machine
List prices from each provider's pricing page, before free credits, plans and storage. This compares price only.
Where Heroku is strong
- It is a mature PaaS with a one-command deploy flow and add-ons.
- Dyno sizes go up to 128 GB RAM (Fir) and 126 GB (Cedar).
- Docker images can be deployed in the Common Runtime.
- Private and Shield dynos add isolated networking and compliance options.
Where Sandboxer differs
- Heroku runs stateless app dynos; Sandboxer runs persistent full VMs.
- Heroku dyno filesystems are discarded on restart; Sandboxer disks persist and stop keeps memory.
- Heroku is priced monthly per dyno; Sandboxer bills per second.
- Heroku has no stated nested virtualisation or per-port URLs.
Pick Heroku if
- You want a managed PaaS for a conventional web app with add-ons.
- You need Private Spaces or Shield for compliance.
- You want git-push deploys without managing machines.
Pick Sandboxer if
- You need a full Ubuntu VM with root, systemd and Docker inside a microVM with its own kernel.
- You want stop/resume that keeps running processes and memory, and forks from disk snapshots.
- You want coding agents (Claude Code, Codex and others) preinstalled and driven through a prompt API.
Sources
Products change. If something here is out of date, email hello@sandboxer.com and we'll fix it. Heroku is a trademark of its owner. Sandboxer is an independent product and is not affiliated with Heroku.
Other comparisons
Firecracker microVMs with memory-preserving pause and fork, and an open-source stack.
Many sandbox classes, from containers to VMs, Windows and GPUs.
Massive scale and GPUs for short-lived sandboxes, gVisor by default.
Firecracker microVMs billed on active CPU, inside the Vercel platform.
- Sandboxer vs Aptible
Compliance-focused PaaS that runs Docker apps and managed databases on dedicated or shared stacks.
- Sandboxer vs AWS Fargate
Serverless container runtime for Amazon ECS: you give it a container image and CPU/memory, AWS runs the task.
- Sandboxer vs Azure Container Apps
Serverless container platform with scale-to-zero, per-second billing, jobs, GPUs, and dynamic sessions for sandboxed code.
- Sandboxer vs Cloudflare Workers for Platforms
Cloudflare product for platforms to run customer or AI-generated code in isolated Workers on its global network.
- Sandboxer vs Fly.io Machines
Fast-launching VMs from container images, controlled by a REST API, with per-second billing and region choice.
- Sandboxer vs Hugging Face Jobs
Pay-per-second batch compute on Hugging Face infrastructure: run a command in a Docker image on CPU, GPU or TPU hardware.
- Sandboxer vs InsForge
Open-source backend platform for AI-built apps (Postgres, auth, storage, functions) with a managed cloud and long-running compute containers.
- Sandboxer vs Mastra Cloud
Hosted platform for deploying and observing Mastra AI agents and workflows, built on an Apache 2.0 TypeScript framework.
- Sandboxer vs Modelence
Cloud platform that deploys and runs backends, databases and jobs for agent-written apps, plus an open-source framework.