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Inngest vs LangGraph

A side-by-side comparison of Inngest and LangGraph across 26 workflow orchestration capabilities. Inngest fully supports 19 of them and LangGraph fully supports 21; of the 12 mandatory features, Inngest covers 10 and LangGraph covers 10.

Inngest

Inngest is an event-driven durable execution platform that lets developers write reliable, multi-step background functions and AI workflows in TypeScript, Python or Go, running on serverless, servers or the edge.

Features fully supported19 / 26
Mandatory features: 10 / 12View profile

LangGraph

LangGraph is a stateful, graph-based orchestration framework for building, managing, and deploying long-running agentic LLM applications and workflows.

Features fully supported21 / 26
Mandatory features: 10 / 12View profile

Feature comparison

10 of 26 capabilities differ between Inngest and LangGraph.

Change tools
CapabilityInngestLangGraph
DAG-based workflow definition
Define dependencies and execution order
Mandatory
PartialYes
Code-first workflows
Versionable, testable workflows
Mandatory
YesYes
Declarative workflow model
Predictability, reproducibility
Mandatory
NoPartial
Task dependency resolution
Correct execution order
Mandatory
YesYes
Persistent workflow state
Crash recovery, observability
Mandatory
YesYes
Task retries
Handle transient failures
Mandatory
YesYes
Retry policies (backoff, limits)
Avoid cascading failures
Recommended
YesYes
Scheduling (cron / time-based)
Automated recurring workflows
Depends
YesNo
Event-driven execution
React to external systems
Depends
YesYes
Backfills / replays
Reprocess historical data
Depends
YesYes
Idempotency support
Safe retries & replays
Mandatory
YesPartial
Exactly-once semantics
Correctness for business workflows
Optional
PartialNo
Long-running workflows (days/months)
Business processes, approvals
Depends
YesYes
Human-in-the-loop steps
Approvals, manual actions
Optional
YesYes
Dynamic workflows at runtime
Conditional execution
Depends
YesYes
Workflow versioning
Safe evolution over time
Recommended
PartialYes
Distributed execution
Scalability
Mandatory
YesYes
High availability scheduler
Production reliability
Recommended
YesYes
Fault-tolerant execution
Crash safety
Mandatory
YesYes
Observability (logs, states, UI)
Debugging & ops
Mandatory
YesYes
Workflow-level visibility
Understand end-to-end runs
Mandatory
YesYes
Task isolation
Failure containment
Mandatory
YesYes
Native Kubernetes support
Modern infra compatibility
Depends
PartialYes
Multi-language SDKs
Polyglot systems
Optional
YesNo
Deterministic replay
Safe recovery & correctness
Optional
PartialYes
Pluggable execution backends
Flexibility
Recommended
NoYes

* To be considered a complete workflow orchestration tool, a tool must implement the features marked as mandatory according to our assessment.

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Learn more

Read the full profiles, including pros and cons, installation and alternatives.