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Product/Alternatives/E2B
Qoveryvs.E2B

Move beyond E2B.

E2B runs your agent's code in a sandbox. Qovery runs your agent's entire application - in production.

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The shift

From legacy platform managementto agentic Kubernetes.

E2B is great at giving AI agents a secure, isolated runtime to execute code. But executing code is one step. Real applications need databases, networking, secrets, environments, and a path to production - on infrastructure you own. Qovery is the agentic infrastructure platform that takes agents from sandbox to shipped.

The E2B approach
Code execution, not application infrastructure
E2B sandboxes execute snippets and short-lived tasks. They have no concept of a multi-service application - API + frontend + database + queue - running as a coherent, deployable unit.
No deployment or production hosting
E2B spins up an ephemeral runtime, then tears it down. There is no CI/CD, no staging, no production. The code your agent writes never ships from E2B itself.
No managed databases or stateful services
Agents building real software need PostgreSQL, Redis, and persistent state. E2B sandboxes are stateless and ephemeral by design - you wire up data services elsewhere.
Sandbox-level governance only
E2B isolates code execution well, but it has no project-level RBAC, environment policies, deployment gates, or cost controls. Governance stops at "the code ran safely in a box."
The Qovery approach
Sandbox to production on one platform
Agents execute code in isolated environments, then deploy through staging to production - same platform, same guardrails, same audit trail. No handoff, no gap.
Full multi-service environments
Deploy complete application topologies: API + frontend + database + cache + workers. Every environment is a full clone of your production architecture, not a single box.
Everything in your own cloud
Qovery runs in your AWS, GCP, or Azure account. Control plane, data plane, workloads, and data - all in your VPC. Full data sovereignty for regulated industries.
Governance built for fleets of agents
Project-level RBAC, environment policies, deployment approvals, and per-team cost caps. Every agent action is governed, logged, and attributed - via one API.
Detailed comparison

How they stack up.

A side-by-side look at what each platform delivers - including the AI capabilities that define modern infrastructure.

Qovery
E2B
Primary purpose
Full lifecycle: agent sandbox -> staging -> production.
Secure code execution sandbox for AI agents.
Deployment
Built-in CI/CD, preview environments, blue/green, canary.
None. Sandboxes are ephemeral; code does not ship from E2B.
Application model
Multi-service environments: apps + databases + caches + workers.
Individual stateless sandboxes for code execution.
Managed databases
PostgreSQL, MySQL, Redis, MongoDB - managed or self-hosted.
None. Sandboxes are stateless by design.
Hosting model
Runs entirely in your cloud account (BYOC).
Managed sandbox infrastructure (self-host option for runtime).
Governance
Project/environment RBAC, deployment gates, cost controls.
Sandbox isolation only. No deployment policies.
Agent interface
MCP Server, AI Skill, Terraform, REST API, CLI.
SDKs (Python, JS/TS) for sandbox creation and code execution.
Production hosting
Core purpose. Kubernetes-native, autoscaling, managed TLS.
Not supported. Ephemeral runtimes only.
Compliance posture
SOC 2, HIPAA, GDPR, DORA - workloads in your VPC.
Sandbox-level isolation; compliance is your downstream concern.
Talk to an engineer
No lock-in

Qovery adapts to your stack,not the other way around.

E2B and Qovery solve different halves of the problem. E2B executes the code. Qovery ships the application.

Beyond the sandbox

E2B is excellent for the moment an agent runs code. Qovery covers everything after: environments, databases, deployment, and production - so the agent's work actually reaches users.

One API for the whole stack

Instead of stitching a sandbox tool to a separate CI/CD, database, and hosting stack, Qovery exposes the entire infrastructure control plane through one governed API that any MCP agent can call.

Governance that scales with agents

As you go from 1 agent to 100, Qovery's RBAC, cost controls, and audit trails scale with you. Every agent is scoped, every action is logged and attributed.

Frequently asked questions

Qovery vs E2B

What is the best alternative to E2B for deploying AI-agent applications?
Qovery is the production-grade complement and alternative to E2B. Where E2B gives an AI agent a secure sandbox to execute code, Qovery gives the agent a full application platform: multi-service environments, managed databases, CI/CD, and a governed path to production - all on your own cloud.
Can E2B deploy applications to production?
No. E2B provides ephemeral, isolated sandboxes for AI agents to execute code. It has no CI/CD, no staging, no production hosting, and no managed databases. The code an agent writes does not ship from E2B itself. Qovery includes production deployment as a core capability.
What is the difference between an agent sandbox and an agentic infrastructure platform?
An agent sandbox like E2B solves code execution - a safe, isolated place to run code. An agentic infrastructure platform like Qovery solves orchestration: databases, networking, secrets, environments, CI/CD, and monitoring through one governed API, so agents can operate complete applications, not just run snippets.
How does Qovery compare to E2B for Claude Code or Cursor?
E2B gives Claude Code or Cursor a secure runtime to execute code. Qovery gives them a full environment - databases, secrets, networking - plus a deployment pipeline to staging and production, all governed by RBAC and audit logging. The agent writes, tests, and ships on one platform.
Does Qovery run in my own cloud like E2B?
Qovery runs entirely in your own AWS, GCP, or Azure account - control plane, data plane, and workloads all in your VPC, which is essential for regulated industries. E2B offers managed sandbox infrastructure with a self-host option for the runtime; Qovery is BYOC for the full application lifecycle.
Built for what's next

Secure code execution is necessary. But it is not sufficient.
Qovery is built for 2026.

Your AI agents do not just need a box to run code. They need environments with secrets, networking, databases, and audit trails - and a governed path from experiment to production. A sandbox solves code execution. An agentic infrastructure platform solves orchestration. Qovery provides the full stack: sandbox to shipped, on your own cloud.

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