comparison

Inngest vs Temporal 2026: Durable Functions vs Durable Workflows

Inngest (2021, San Francisco) is a developer-first durable functions platform with TypeScript and Python SDKs, 50,000 step runs/month free, and Pro pricing from $99/month. Temporal (2019) is the heavyweight durable workflow engine with seven-language SDK coverage, Cassandra-backed scale, and Cloud pricing from roughly $200/month at low volume or $2.5-4.5K/month self-host. This 2026 comparison covers programming model, pricing, scale ceiling, and operational footprint.

The Bottom Line: Inngest fits most TypeScript and Python application teams below 50M step runs/month with lower cost and zero ops; Temporal fits polyglot SDK requirements, 100M+ Action workloads, or compliance-driven self-host.

Overview

Inngest and Temporal are two of the most-cited durable execution platforms in 2026, but they target different audiences. Temporal (founded 2019 by the original authors of Uber Cadence) is the heavyweight reference implementation of durable workflows, with Cassandra-backed scale, multi-language SDKs, and a managed Cloud product alongside an Apache 2.0 self-host. Inngest (founded 2021, San Francisco) is a developer-first platform that ships durable functions as event-driven, retryable steps with a TypeScript-and-Python emphasis and a generous free tier on its managed cloud.

As of May 2026, Temporal Cloud reports tens of thousands of active workers across Standard and Mission Critical tiers; Inngest reports more than 7,000 organizations on the platform with a 50,000 step-run/month free tier. The decision between the two is rarely about correctness (both deliver durable execution semantics) and usually about programming model, scale ceiling, and operational footprint.

Programming Model

Temporal expresses workflows as long-running functions that orchestrate activities. The SDK preserves execution state through deterministic replay, which means workflow code must be deterministic and side-effects must be encapsulated as activities. SDKs are available for Go, Java, Python, TypeScript, .NET, PHP, and Ruby. The mental model is closest to actor-style stateful processes with full versioning and signal/query support.

Inngest expresses durable functions as event-driven step graphs. Each call to step.run, step.sleep, step.waitForEvent, or step.sendEvent is checkpointed and retried independently. The model is closer to typed event-driven background jobs with first-class waits and parallel fan-out. Code lives next to the application (Next.js, Remix, Express, FastAPI, Django) and is invoked over HTTP from the Inngest runtime.

Pricing (May 2026)

Tier Inngest Temporal Cloud
Free 50,000 step runs/month, 3 concurrent runs 14-day trial, then paid only
Entry Hobby $20/month, 200K steps Standard from ~$200/month at low volume, $25/M Actions
Mid Pro $50-$500/month tiers, scaling steps Mid-volume typical $500-$5,000/month
Scale Enterprise quote-based, self-host option Mission Critical 2x consumption, 99.95% SLA

For typical mid-volume application teams (1-10M step runs/month), Inngest pricing is meaningfully lower than Temporal Cloud at equivalent volume. At very high volume (50M+ Actions/month with operational maturity), Temporal self-host can become the cheaper option, but for the majority of TypeScript/Python application teams, Inngest sits at a better cost point.

Scale Ceiling

Temporal scales horizontally on Cassandra and has been deployed at organizations running tens of millions of concurrent workflow executions (Uber, Coinbase, Snap, Stripe). The history sharding model and the Cassandra-backed persistence deliver predictable performance at extreme scale.

Inngest is built on a different architecture (proprietary, durable-by-default with retries pushed back into the SDK invocation surface). Production deployments handle multi-million step run volumes routinely, but the public ceiling is lower than Temporal's. For application teams below roughly 100M step runs/month, this distinction is academic; at higher volume or with extreme parallelism requirements, Temporal's scale story is more proven.

Operational Footprint

Temporal self-hosted requires operating Cassandra (or PostgreSQL for smaller deployments), Elasticsearch (optional, for advanced visibility), and the Temporal services themselves (frontend, history, matching, worker). A realistic small-production self-host runs $2,500-$4,500/month in infrastructure plus operational labor. Temporal Cloud removes this footprint at consumption pricing.

Inngest cloud removes operational footprint entirely. The Inngest dev server (Apache 2.0) is used for local development; production functions are invoked over HTTP from the managed cloud. There is no Cassandra to operate.

When to Choose Inngest

  • TypeScript or Python application teams that want event-driven step semantics
  • Workloads below roughly 50M step runs/month where managed cloud is the right fit
  • Teams that already deploy on Vercel, Netlify, or other serverless hosts
  • Free tier is decisive for prototype and early-stage production

When to Choose Temporal

  • Multi-language requirements (Java, Go, .NET, PHP, Ruby) beyond TypeScript and Python
  • Very high scale (100M+ Actions/month) where the Cassandra-backed architecture is needed
  • Compliance or data-residency rules that require self-host on the team's own infrastructure
  • Workflows that need long-running deterministic replay and explicit versioning

Verdict

Inngest is the right call for most TypeScript and Python application teams below extreme scale. Temporal is the right call for multi-language polyglot deployments, very high scale, or compliance-driven self-host requirements.

Editor's Note: We have shipped client work on both. A 2026 fintech client (mid-stage SaaS, 8M durable runs/month) moved from a Temporal self-host attempt to Inngest after their on-call rotation could not absorb the Cassandra operational load; net cost dropped from roughly $3,200/month infrastructure plus 0.4 FTE to about $400/month on Inngest Pro with no dedicated ops time. A separate enterprise engagement (regulated industry, EU-only data residency) stayed on Temporal self-host because Inngest cloud was outside the data-sovereignty perimeter and the team already operated Cassandra. Honest caveat: the Inngest scale ceiling and multi-language support are still narrower than Temporal's, and we would not advise migrating an established Temporal deployment running 100M+ Actions/month without a hard cost-or-compliance trigger.

Written & reviewed by Rafal Fila · Last updated:

Tools Mentioned

Related Guides

comparison

Keystroke vs n8n in 2026: Agent-Built TypeScript vs the Visual Canvas

Keystroke, launched in July 2026 by Y Combinator W24 company Sprint Labs, is a code-first automation platform where AI coding agents write workflows as TypeScript in the user's repository. n8n, founded in 2019, is the most widely deployed source-available visual workflow platform, with 200,000+ users and a $2.5 billion valuation. This comparison covers the agent-authored versus canvas building models, durable execution, licensing (Elastic License 2.0 vs the Sustainable Use License), verified July 2026 pricing including Keystroke's usage metering, and the maturity gap between a days-old platform and an established ecosystem.

comparison

QuantumBPM vs Camunda 2026: Single-Binary Challenger vs the BPMN Incumbent

QuantumBPM (launched 2026, Coroid s.r.o., Slovakia) packages a BPMN 2.0 runtime and DMN 1.5 decision engine into one Go binary backed by Temporal and PostgreSQL. Camunda (Berlin, founded 2013) is the category incumbent: Camunda 7 (Apache 2.0, in maintenance) and the Zeebe-based Camunda 8 platform. This comparison covers product structure, architecture, DMN TCK conformance with recording dates, deployment, pricing, and vendor maturity, verified July 2026.

case-study

Migrating 23 Make Scenarios to Self-Hosted n8n: a 3-Week Breakdown

Anonymized retrospective of a DTC ecommerce brand migrating 23 Make scenarios to a self-hosted n8n instance over three weeks. Tooling cost dropped from $348/month on Make Teams to roughly $12/month on a Hetzner VPS, but credential and webhook recreation consumed about 40% of total project time.

Related Rankings

Common Questions

What should teams do now that Relay.app is shutting down?

Relay.app announced on 16 July 2026 that it is shutting down. Free accounts and all their data are permanently deleted after 15 August 2026 at 23:59 PT, and paid accounts after 14 September 2026 at 23:59 PT, with paying customers keeping full access at no charge until that date. Export the workspace archive well before the deadline, because generation can take up to 24 hours and the emailed download link expires after 48; for the human-in-the-loop workflows Relay.app was usually bought for, Zapier and n8n are the only platforms evaluated here where a reviewer can edit an AI draft mid-run without custom development.

How much does Keystroke cost in 2026?

Keystroke offers three tiers as of July 2026: Hobby (free forever, with $1/month of included usage credit), Pro ($20/month, including $20/month of usage credit), and Organization (custom pricing with SSO, RBAC, and audit logs). Usage is metered on every tier: $0.01 per agent or workflow run, $0.005 per empty poll, $0.007 per web search, roughly $0.067 per hour of sandbox compute, and a 1.1x markup on AI model calls unless you bring your own API keys.

What is Keystroke?

Keystroke is a code-first workflow automation and AI agent platform, launched July 13, 2026 by Y Combinator-backed Sprint Labs, that positions itself as an n8n alternative built for AI coding agents. Workflows are written as typed TypeScript in the user's own repository, usually by agents such as Claude Code, Cursor, or Codex, and deployed to Keystroke's managed cloud or self-hosted under the source-available Elastic License 2.0.

Is Keystroke worth it in 2026?

Keystroke earns a provisional 6.5/10 in its July 2026 open alpha: the agent-native TypeScript model is genuinely differentiated and the free Hobby tier makes it safe to trial, but the platform is pre-1.0 (npm at v0.1.98, public repository published July 13, 2026), has no third-party production track record, and its Elastic License 2.0 restricts offering it as a hosted service. Worth trialing for teams that build through coding agents; too young for production-critical workflows.