Home / Directory / Agents & orchestration / Workflow / orchestration / Inngest
Inngest
Durable execution platform released in 2022 that lets engineers write reliable background jobs, workflows, and AI agents as step functions inside their existing codebase.
Product engineering teams building AI features and background workflows in their existing codebase that want retries, concurrency limits, and observability without managing infrastructure.
Data teams that want DAG-style pipeline schedulers, or companies that require a self-managed workflow engine with a long enterprise history.
Verdict
Inngest is worth using for product teams that want reliable AI and background workflows written as ordinary code. Its flow control and replay tools save teams from building their own queue logic. Data engineering teams running classic pipelines may be better served by a scheduler built for that work.
Score Breakdown
How Inngest scores in the categories that matter to its buyers.
Pricing
Inngest publishes execution-based plans with a free tier, two paid tiers, and custom Enterprise pricing.
| Plan | Price | What stands out |
|---|---|---|
| Free | $0 | 50,000 executions, 5 concurrent steps |
| Pro | From $99 / month | 1M executions, 100+ concurrent steps, 100 concurrent sandboxes |
| Business | From $499 / month | 10M executions, 500 concurrent steps, 1,000 concurrent sandboxes |
| Enterprise | Custom | Custom limits, HIPAA included |
| Sandboxes | $0.0396 / vCPU-hour | Billed on usage |
The Field at a Glance
How Inngest compares with other workflow orchestration vendors we reviewed, by Overall Score and relative typical engagement cost.
Inngest scores 8.1 in workflow orchestration, under Temporal (8.7), and ahead of Trigger.dev (8.0), Camunda (7.6), n8n (7.5), and Prefect (7.4). Relative cost lands mid-band for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Durable steps in code | Strong | Functions track their own progress and retry. |
| Flow control | Strong | Throttle, debounce, and concurrency per function. |
| Replay and observability | Strong | Runs can be traced and replayed. |
| Event-driven triggers | Strong | Functions react to events from users and tools. |
| Data pipeline DAGs | Mixed | Built for product workflows more than data pipelines. |
| HIPAA on lower tiers | Weak | HIPAA is included on Enterprise. |
Who it’s for
Good fit
- AI product teams
- SaaS backends with many background jobs
- Teams replacing hand-rolled queues
Poor fit
- Data engineering DAG workloads
- Buyers needing on-premises only
- Very simple cron jobs
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“We had problems with just managing the complexity of flows. In a complicated event-driven system, things can take on a life of their own.”
“Inngest completely transformed how we handle AI orchestration at Cohere. Its intuitive developer experience, built-in multi-tenant concurrency, and flow control allowed us to scale without the complexity of other tools or the need to build custom solutions.”
Inngest's free plan allows only 5 concurrent steps, and HIPAA coverage is included only on Enterprise.
Company Facts
- First release
- 2022 (Inngest)
- Latest funding
- $21M Series A led by Altimeter (Inngest)
- Other investors
- a16z, Notable, Afore, Guillermo Rauch (Inngest)
- Founders
- Tony Holdstock-Brown and Dan Farrelly (Inngest)
- Website
- inngest.com
Key Leadership
Tony Holdstock-Brown
Co-founder and CEO
Methodology
This page is an independent evaluation of Inngest for buyers comparing options in workflow orchestration. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Inngest did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for workflow orchestration)
- Developer experience
- Flow control and concurrency
- Observability and replay
- Enterprise track record
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Inngest is graded here as workflow orchestration. Criteria scores can move as more review volume and product checks are added.