Trigger.dev

Name: Trigger.dev
Brand: Trigger.dev

AI Native

Build and deploy fully‐managed AI agents and workflows

Est 2022|Raised $20.3M|8 Ref Customers

LinkedIn 3K|Web traffic 152K|FTEs 7|HQ London, England, GB

MarketsWorkflow Orchestration

01Competitive Landscape

Narrative analysis

- Trigger.dev vs Inngest: Both target developer-focused durable execution. Inngest publishes explicit pricing tiers and included execution counts; Trigger.dev’s pricing model is usage-based with machine sizing and invocation costs as described in vendor materials. - Trigger.dev vs Temporal: Temporal provides a mature model for deterministic and highly-reliable workflows but requires more operational and conceptual investment. Trigger.dev aims to lower the barrier for TypeScript teams and focuses on runtime flexibility (for example, running Python, FFmpeg, or browser instances) and an in-repo development approach. - Trigger.dev vs AWS Step Functions: Step Functions is an option for AWS-native orchestration with long-running workflows and formal semantics, but it is AWS-centric and uses the Amazon States Language rather than standard TypeScript-based task code.

Adoption trends

GitHub activity and repository engagement indicate developer interest and community involvement. Vendor claims of a large developer base and high run volume were not independently verified in the captured research set.

	Trigger.dev	Inngest	Temporal Cloud
Starting Price	Free plan includes a small monthly usage credit; exact rate card was not captured in this research set	Hobby and Pro tiers with published rates	Consumption-based pricing with published tiered plans and minimums depending on tier
Typical Use Case	TypeScript teams needing long-running jobs/agents with emphasis on developer experience and managed infrastructure	Event-driven durable execution with explicit usage tiers	High-reliability, deterministic workflows with enterprise-focused guarantees
Key Strengths	Vendor-asserted absence of hard execution time limits; in-repo code approach; workflow/agent support; open-source and self-hosting option	Explicit pricing tiers and included executions; event-driven durable execution focus	Mature orchestration model; clear semantics; enterprise support options
Key Weaknesses	Limited third-party review coverage in the captured research set; pricing details not fully visible here; platform outages can impact runs	Less public emphasis on unrestricted runtime freedom; still a platform dependency	Higher conceptual and operational complexity; may be overkill for simple job queues

01Competitive Landscape

Narrative analysis

Trigger.dev vs Inngest: Both target developer-focused durable execution. Inngest publishes explicit pricing tiers and included execution counts; Trigger.dev’s pricing model is usage-based with machine sizing and invocation costs as described in vendor materials.
Trigger.dev vs Temporal: Temporal provides a mature model for deterministic and highly-reliable workflows but requires more operational and conceptual investment. Trigger.dev aims to lower the barrier for TypeScript teams and focuses on runtime flexibility (for example, running Python, FFmpeg, or browser instances) and an in-repo development approach.
Trigger.dev vs AWS Step Functions: Step Functions is an option for AWS-native orchestration with long-running workflows and formal semantics, but it is AWS-centric and uses the Amazon States Language rather than standard TypeScript-based task code.

Adoption trends

	Trigger.dev	Inngest	Temporal Cloud
Starting Price	Free plan includes a small monthly usage credit; exact rate card was not captured in this research set	Hobby and Pro tiers with published rates	Consumption-based pricing with published tiered plans and minimums depending on tier
Typical Use Case	TypeScript teams needing long-running jobs/agents with emphasis on developer experience and managed infrastructure	Event-driven durable execution with explicit usage tiers	High-reliability, deterministic workflows with enterprise-focused guarantees
Key Strengths	Vendor-asserted absence of hard execution time limits; in-repo code approach; workflow/agent support; open-source and self-hosting option	Explicit pricing tiers and included executions; event-driven durable execution focus	Mature orchestration model; clear semantics; enterprise support options
Key Weaknesses	Limited third-party review coverage in the captured research set; pricing details not fully visible here; platform outages can impact runs	Less public emphasis on unrestricted runtime freedom; still a platform dependency	Higher conceptual and operational complexity; may be overkill for simple job queues