Agentic Index
Daytona vs E2B (2026)
Choose E2B for Firecracker microVM isolation with hardware level security boundaries, and choose Daytona for sub 90 millisecond Docker based sandboxes with GPU support and no subscription floor. Their per vCPU compute rates are effectively identical, but the structures differ: E2B pairs usage with a Pro plan at 150 dollars a month that unlocks production limits, while Daytona is purely usage based with 200 dollars in free compute and an open source core. Isolation strength versus startup speed, GPUs, and pricing structure is the real choice.
| At a glance | Daytona | E2B |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Usage based · $200 free compute + 5 GB storage · open source | Free Hobby ($100 one time credit) · Pro $150/mo + per second usage |
| Free / trial | $200 in free compute and 5 GB free storage; open source is free to self host | Free Hobby tier, no card ($100 one time credit, 1 hour max sessions) |
| Pricing confidence | public partial | public exact |
| Feature |
D
Daytona
|
E
E2B
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Partial | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | No / Not documented |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | No / Not documented |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | No / Not documented |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
No / Not documented | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | No / Not documented |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Full / Explicit | Partial |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
D
Daytona
|
E
E2B
|
|---|---|---|
|
Entry price Lowest public entry point |
Usage based · $200 free compute + 5 GB storage · open source | Free Hobby ($100 one time credit) · Pro $150/mo + per second usage |
|
Pricing confidence How public the numbers are |
Public — partial | Public — exact |
|
Billing Primary billing axis |
Per second compute and memory, plus metered storage | usage |
|
Variable cost Workload / overage exposure |
High variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Mixed |
Choose Daytona if
- Docker isolation is acceptable and sub 90 millisecond creation speed matters
- Your agent workloads need GPUs inside the sandbox
- Pure usage pricing with no monthly floor fits spiky or seasonal traffic
Choose E2B if
- Untrusted code demands microVM isolation with a dedicated kernel per sandbox
- Fortune 100 grade production references derisk the platform decision
- Predictable plan limits with per second usage suit sustained high volume