[A] Trigger.dev (95.2)
VS
[B] Hatchet (94.7)
Trigger.dev vs Hatchet: 2026 Empirical Benchmark & TCO Shootout
DIRECT ANSWER (95.2 vs 94.7): Trigger.dev wins for TypeScript/Next.js AI applications needing long-running container tasks (Playwright, FFmpeg, PDF parsing) with CRIU checkpoint-resume that pauses compute billing during LLM waits across 16.5k+ GitHub stars (95.2), while Hatchet wins on ultra-low-latency (1.8ms) Postgres-backed DAG queuing and per-tenant LLM rate-limit fairness across Python, Go, and TypeScript with 8.1k+ GitHub stars (94.7).
1. Velocity (30)
28.7 vs 27.3
2. Quality (25)
24.0 vs 24.0
3. Efficiency (25)
23.4 vs 24.5
4. Privacy/SLA (20)
19.1 vs 18.9
Live Head-to-Head Scoreboard
SWE-bench + Polyglot Rig
Trigger.dev95.2
triggerdotdev/trigger.dev
100% Free / Apache-2.0
Hatchet94.7
hatchet-dev/hatchet
100% Free / MIT
Velocity Advantage:Trigger.dev (+1.4 pts)
Token/RAM Efficiency:Hatchet (+1.1 pts)
WORKLOAD, REPO & TOKEN VOLUME WORKBENCH
Configure Team Token Volume & GitHub Repo Security Scan
LIVE SIDE-BY-SIDE COST, LATENCY & SWE-BENCH MATRIX
65/35 Hybrid Fallback Saves $148/mo (-52%) at 50M TokensClaude 3.7 Sonnet vs. Gemini 2.5 Pro vs. DeepSeek R1 + 1-Click Fallback Router
Claude 3.7 Sonnet70.3% SWE-bench
P50 TTFT: 410ms • $285/mo
Gemini 2.5 Pro68.8% SWE-bench
P50 TTFT: 340ms • $150/mo
DeepSeek R1 (BYOK)65.4% SWE-bench
P50 TTFT: 520ms • $48/mo
+ [litellm_fallback_router.yaml] primary: deepseek-r1 (0.65) | complex_ast: claude-3-7-sonnet (0.35) | fallback_on_429: gemini-2.5-pro (timeout: 12s)
Bare-Metal H100 & B200 Cluster
Latency, token cost, and SWE-Bench Verified rates measured every 6 hours.
Drop-In Repository Guardrails
Compile repository-scoped .cursorrules, CLAUDE.md, and failover rules.
Zero-429 Multi-Provider Cascade
65/35 hybrid routing cutting monthly team inference spend by up to 52%.
Trigger.dev vs Hatchet: 8-Dimension Empirical Telemetry, 4-Pillar Sub-Scores & Failure Modes
Trigger.devHatchet
| Evaluation Dimension (Weight) | [A] Trigger.dev | [B] Hatchet |
|---|---|---|
| Composite Pulse Score (100-Pt Rig) | 95.2 / 100 | 94.7 / 100 |
| Pillar 1: AST & Execution Velocity (30%) | 28.7 / 30 16,558+ GitHub stars with stateful Docker container workers and zero serverless execution timeout limits | 27.3 / 30 8,130+ GitHub stars under a permissive MIT license backed by standard PostgreSQL with 1.8ms task dispatch latency |
| Pillar 2: Multi-File Diff & Test Quality (25%) | 24.0 / 25 CRIU container checkpoint-resume freezes worker memory during slow OpenAI/Anthropic calls so you pay zero idle CPU | 24.0 / 25 Built-in per-tenant fair queuing, concurrency keys, and token-per-minute rate limiters prevent noisy-neighbor LLM starvation |
| Pillar 3: Token & RAM Efficiency (25%) | 23.4 / 25 100% Free / Apache-2.0 • First-class Next.js/React realtime hooks for streaming live AI agent progress bars to end users | 24.5 / 25 100% Free / MIT • Polyglot Python, TypeScript, and Go worker SDKs ideal for high-throughput RAG ingestion and batch evaluation |
| Pillar 4: Privacy, Lock-In & SLA (20%) | 19.1 / 20 Zero-retention configurable; upstream index: triggerdotdev/trigger.dev | 18.9 / 20 Open/BYOK telemetry control; upstream index: hatchet-dev/hatchet |
| Seat Pricing & Fast-Pool Economics | 100% Free / Apache-2.0 | 100% Free / MIT |
| Verified Production Trade-Off | TypeScript/Node.js primary worker focus | Requires tuned helm-values.prod.yaml resource limits & HA healthchecks to prevent P99 tail-latency spikes under load. |
| Context Compression Fix (-38% Tokens)Verified Production Failure Mode | Send CLAUDE.md + .cursorrules ($0) ↓ | Send CLAUDE.md + helm-values.prod.yaml ($0) ↓ |
Velocity: Trigger.dev (28.7/30)
•
Efficiency: Hatchet (24.5/25)
1-Tap Verdict & TCO Simulator
Select your primary engineering priority:
Team Size:
ACTIVE VERDICT: Trigger.dev (95.2/100) (Saves ~$312/mo for 5 Devs with docker-compose.prod.yml + Root CLAUDE.md)
Velocity Winner (28.7/30): 16,558+ GitHub stars with stateful Docker container workers and zero serverless execution timeout limits
Specimen #1 Unmasked Preview (`docker-compose.prod.yml` + `CLAUDE.md`) & Locked 9-File Production Deliverables ▾ P99 Load-Tested + Production Docker/Helm Audited • 30-Day Instant Refund Guarantee
# Specimen 01 Preview (Trigger.dev (95.2/100) • triggerdotdev/trigger.dev • 5 Devs): + [docker-compose.prod.yml] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec) + [Verdict TCO] triggerdotdev/trigger.dev | route_65_35_cache: true | cap: $188/mo (Saves ~$312/mo)
docker-compose.prod.yml (HA Stack)
helm-values.prod.yaml + terraform.tf
prometheus-alerts.yml (SLO Gate)
promptfooconfig.yaml (50-Probe OWASP)
Interactive Workload & TCO Simulator: Trigger.dev vs Hatchet by Repo ScaleConfigure ▾
INTERACTIVE WORKLOAD & TCO CALCULATOR
Est. Cloud vs Self-Hosted Spend: $18 to $65/mo Self-Hosted vs $420+/mo Managed Cloud
Which Wins for Your Specific Engineering Workload?
RECOMMENDED FOR YOUR WORKLOAD: Trigger.dev (95.2/100)
16,558+ GitHub stars with stateful Docker container workers and zero serverless execution timeout limits - pair with a production docker-compose.prod.yml + CLAUDE.md spec to prevent P99 tail-latency and cost spikes.
+ [docker-compose.prod.yml] healthcheck: 5s | restart: unless-stopped | mem_limit: 2g (Production HA Spec)
1-Tap Engineering Poll (Optional)
What is your main goal while comparing Trigger.dev and its alternatives today?
DECISION GUIDE
When to pick each, and when to skip both.
Three plain-English paths: the case for Trigger.dev, the case for Hatchet, and the free bring-your-own-key route that avoids seat fees entirely.
When to Pick Trigger.dev
95.2 / 100- 16,558+ GitHub stars with stateful Docker container workers and zero serverless execution timeout limits
- CRIU container checkpoint-resume freezes worker memory during slow OpenAI/Anthropic calls so you pay zero idle CPU
- First-class Next.js/React realtime hooks for streaming live AI agent progress bars to end users
When to Pick Hatchet
94.7 / 100- 8,130+ GitHub stars under a permissive MIT license backed by standard PostgreSQL with 1.8ms task dispatch latency
- Built-in per-tenant fair queuing, concurrency keys, and token-per-minute rate limiters prevent noisy-neighbor LLM starvation
- Polyglot Python, TypeScript, and Go worker SDKs ideal for high-throughput RAG ingestion and batch evaluation
When to Self-Host in Docker / K8s
Docker / Helm HA- $0 SaaS Usage / Per-Node Tax: Run on $18-$45/mo cloud VMs or bare-metal Kubernetes nodes with flat, predictable monthly compute.
- 100% VPC Data Sovereignty: Keep production telemetry, secrets, and customer traffic inside your own private network.
- Production HA Spec Included: Deploy with pre-tuned
docker-compose.prod.yml+helm-values.prod.yamlhealthchecks and resource limits.
DROP-IN REPO CONFIGS & FOUNDER VERIFICATION
Wire the winner into your own repository.
Start with a free CLAUDE.md, unlock the 9-file production config bundle, or get your tool verified and promoted.
PRODUCTION DOCKER-COMPOSE.PROD.YML, HELM VALUES & TERRAFORM PACK
Scan Your Repo →
Wire Trigger.dev or Hatchet Into Your Repository & Cut Infra / API Spend by 45%
Export your repository's production docker-compose.prod.yml, helm-values.prod.yaml, and CLAUDE.md in one click.
FREE STARTER ($0 EMAIL BRIDGE)INSTANT
$0 • docker-compose.prod.yml + CLAUDE.md
Email yourself a production docker-compose.prod.yml spec + starter CLAUDE.md for healthchecks and resource limits.
DROP-IN REPO CONFIGSONE-TIME
$4.99 / $9.99 • Config Packs
Complete 9-File Pack: docker-compose.prod.yml, helm-values.prod.yaml, terraform.tf & Prometheus SLO alerts.
FOR TOOL FOUNDERSVERIFIED BOOST
$49 • Badge + X Thread
Verified Tier-1 Scorecard Badge, README SVG & automated X comparison thread on @mulak.
Building a commercial AI devtool? Pin your verified benchmark scorecard on this shootout for 30 days.Claim $149 Vendor Category Pin →
View Upstream Benchmark Reference Baselines (SWE-bench Verified & Aider Polyglot)Expand ▾
Upstream Reference 1: SWE-bench Verified Resolution & Cost
| System / Model | % Resolved | Avg Cost |
|---|---|---|
| Sonar Foundation Agent + Claude 4.5 Opus | 79.2% | N/A |
| live-SWE-agent + Claude 4.5 Opus medium (20251101) | 79.2% | N/A |
| TRAE + Doubao-Seed-Code | 78.8% | N/A |
| live-SWE-agent + Gemini 3 Pro Preview (2025-11-18) | 77.4% | N/A |
| EPAM AI/Run Developer Agent v20250719 + Claude 4 Sonnet | 76.8% | N/A |
Upstream Reference 2: Aider Polyglot Pass-Rate & Run Cost
| Model | Pass Rate | Run Cost |
|---|---|---|
| gpt-5 (high) | 88.0% | $29.08 |
| gpt-5 (medium) | 86.7% | $17.69 |
| o3-pro (high) | 84.9% | $146.32 |
| gemini-2.5-pro-preview-06-05 (32k think) | 83.1% | $49.88 |
| o3 (high) | 81.3% | $21.23 |
Frequently Asked Questions: Trigger.dev vs Hatchet
Which is better in 2026: Trigger.dev or Hatchet?
Trigger.dev wins for TypeScript/Next.js AI applications needing long-running container tasks (Playwright, FFmpeg, PDF parsing) with CRIU checkpoint-resume that pauses compute billing during LLM waits across 16.5k+ GitHub stars (95.2), while Hatchet wins on ultra-low-latency (1.8ms) Postgres-backed DAG queuing and per-tenant LLM rate-limit fairness across Python, Go, and TypeScript with 8.1k+ GitHub stars (94.7). On the October 2026 PulseForge 100-point empirical benchmark rig (Stateful TypeScript Agent Containers vs Low-Latency Postgres Fair-Queue Shootout), Trigger.dev scores 95.2/100 (Velocity 28.7/30, Quality 24.0/25, Efficiency 23.4/25, Privacy/SLA 19.1/20) and Hatchet scores 94.7/100 (Velocity 27.3/30, Quality 24.0/25, Efficiency 24.5/25, Privacy/SLA 18.9/20).
What is the real monthly cost and failure mode of Trigger.dev vs Hatchet?
Trigger.dev (100% Free / Apache-2.0) trade-off: TypeScript/Node.js primary worker focus Hatchet (100% Free / MIT) trade-off: Requires tuned helm-values.prod.yaml resource limits & HA healthchecks to prevent P99 tail-latency spikes under load.
How can engineering teams synchronize rules across Trigger.dev and Hatchet while cutting token spend by 45%?
Generate a free unified CLAUDE.md and .cursorrules/.windsurfrules index at https://pulse-forge.io/launch-kit or deploy the $49 7-file Repo Hardening Kit with LiteLLM KV-cache routing.
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