Quick Verdict: Draft’n Run vs AirOps

Choose Draft’n Run if: You need open-source flexibility, advanced RAG capabilities, and full control over your AI infrastructure.

Choose AirOps if: You prefer a managed SaaS solution with pre-built templates for marketing and SEO use cases.

Best for Enterprises: Draft’n Run offers better customization, self-hosting, and cost control at scale.

Head-to-Head Feature Comparison

Feature	Draft'n Run	AirOps	Winner
Deployment Model	Cloud + Self-hosted	SaaS only	🏆 Draft'n Run
Open Source	✅ Yes	❌ Proprietary	🏆 Draft'n Run
Visual Builder	✅ Full DAG editor	✅ Workflow builder	🤝 Tie
RAG Capabilities	Advanced, customizable	Basic	🏆 Draft'n Run
Agent Orchestration	Multi-agent, CrewAI	Limited	🏆 Draft'n Run
LLM Support	All major + custom	OpenAI, Anthropic	🏆 Draft'n Run
Observability	Full tracing, metrics	Basic logging	🏆 Draft'n Run
Templates	Developer-focused	Marketing-focused	🏆 AirOps (for marketing)
Pricing Transparency	Clear, predictable	Contact sales	🏆 Draft'n Run
Data Privacy	Full control	Vendor-controlled	🏆 Draft'n Run
API Access	✅ Full REST API	✅ API available	🤝 Tie
Learning Curve	Moderate	Easy	🏆 AirOps

Detailed Feature Breakdown

Draft’n Run Capabilities

✅ Advanced AI Features

• Multi-agent orchestration (CrewAI integration)
• Custom RAG with vector databases (Qdrant, Pinecone, Weaviate)
• LangChain and LlamaIndex support
• Fine-tuned model hosting
• Custom LLM integrations

✅ Development Experience

• Visual DAG editor with real-time validation
• Code-level customization
• Version control integration (Git)
• Local development environment
• Hot reload and debugging

✅ Enterprise Features

• Self-hosted deployment (Docker, Kubernetes)
• Air-gapped installations
• Custom authentication (SSO, SAML)
• Role-based access control (RBAC)
• Audit logging and compliance

✅ Observability & Monitoring

• Distributed tracing (OpenTelemetry)
• Prometheus metrics
• Grafana dashboards
• Custom alerting
• Performance analytics

AirOps Capabilities

✅ SaaS Convenience

• Managed infrastructure
• Automatic updates
• No DevOps required
• Quick setup (< 30 minutes)

✅ Pre-built Templates

• SEO content generation
• Marketing copy
• Product descriptions
• Social media posts
• Email campaigns

⚠️ Limited Customization

• Proprietary platform
• No self-hosting
• Limited integrations
• Basic RAG capabilities
• Vendor lock-in

⚠️ Basic Observability

• Execution logs
• Simple metrics
• No tracing
• Limited debugging

Use Case Suitability

Best for Draft’n Run:

🏢 Enterprise AI Applications

• Custom AI workflows
• Sensitive data processing
• Compliance requirements
• Large-scale deployments
• Complex agent systems

🔬 Advanced Development

• Research projects
• Custom model integration
• Multi-step reasoning
• RAG experimentation
• Tool integration

💼 Production Systems

• Mission-critical workflows
• High-availability needs
• Performance optimization
• Cost control at scale
• Custom SLA requirements

Best for AirOps:

📝 Marketing Teams

• Content generation
• SEO optimization
• Social media management
• Email marketing
• Ad copy creation

🚀 Quick Starts

• No technical team
• Pre-built solutions
• Managed service
• Simple use cases
• Marketing focus

Pricing Comparison

Draft’n Run Pricing

Free Tier:           $0/month
- 1,000 workflow runs
- All features included
- Community support
- Self-hosted option

Professional:        $49/month
- 10,000 workflow runs
- Priority support
- Advanced monitoring
- Team collaboration

Enterprise:          Custom
- Unlimited runs
- Self-hosted deployment
- SLA guarantees
- Dedicated support
- Custom integrations

AirOps Pricing

Starter:             Contact Sales
- Limited workflows
- Basic features
- Email support

Professional:        Contact Sales
- More workflows
- Advanced features
- Priority support

Enterprise:          Contact Sales
- Custom limits
- All features
- Dedicated support

Transparency Winner: Draft’n Run with public, clear pricing

Technical Architecture

Draft’n Run Architecture

Backend:

• FastAPI (Python)
• PostgreSQL database
• Qdrant vector database
• Redis caching
• OpenTelemetry tracing

Workflow Engine:

• NetworkX DAG execution
• Dynamic component system
• Plugin architecture
• Event-driven processing

Deployment:

• Docker containers
• Kubernetes support
• Multi-cloud ready
• Self-hosted or cloud

AirOps Architecture

Backend:

• Proprietary stack
• Managed database
• Cloud-only
• Black box system

Workflow Engine:

• Visual workflow builder
• Template-based
• Limited customization

Integration Ecosystems

Draft’n Run Integrations (100+)

LLM Providers:

• OpenAI (GPT-4, GPT-4 Turbo)
• Anthropic (Claude 3.5)
• Google (Gemini Pro)
• Cohere, Hugging Face
• Ollama (local models)
• Custom API endpoints

Vector Databases:

• Qdrant (built-in)
• Pinecone
• Weaviate
• Chroma
• Milvus

Data Sources:

• PostgreSQL, MySQL, MongoDB
• Elasticsearch
• Google Drive
• Notion
• Slack
• Custom APIs

Dev Tools:

• GitHub/GitLab
• Jira
• Linear
• Webhooks

AirOps Integrations (50+)

LLM Providers:

• OpenAI
• Anthropic
• Limited others

Business Tools:

• Google Sheets
• Airtable
• Zapier
• HubSpot
• Marketing platforms

Limited:

• No custom LLM support
• No vector database choice
• Limited dev tools

RAG Capabilities Comparison

Draft’n Run RAG Features

✅ Advanced Indexing

• Multiple chunking strategies
• Metadata extraction
• Hierarchical indexing
• Custom embeddings
• Multi-modal support

✅ Retrieval Options

• Semantic search
• Hybrid search (vector + keyword)
• Reranking
• Query transformation
• Citation tracking

✅ Vector Database Flexibility

• Choose your provider
• Self-hosted options
• Custom configurations
• Performance tuning

AirOps RAG Features

⚠️ Basic RAG

• Simple document upload
• Automatic chunking
• Basic search
• Limited customization
• Vendor-controlled storage

❌ No Advanced Features

• No custom embeddings
• No reranking
• Limited search options
• No metadata control

Performance Benchmarks

Metric	Draft’n Run	AirOps
Workflow Execution	<100ms overhead	~200ms overhead
RAG Query Speed	50-200ms	300-500ms
Concurrent Workflows	1000+	Limited by tier
Custom Model Support	✅ Yes	❌ No
API Response Time	<50ms	~150ms
Scalability	Horizontal	Vendor-limited

Security & Compliance

Draft’n Run Security

✅ Data Control

• Self-hosted option
• Air-gapped deployment
• Data stays on your infrastructure
• Custom encryption
• GDPR/HIPAA compliant

✅ Authentication

• SSO (SAML, OAuth)
• API key management
• Role-based access control
• Audit logging
• IP whitelisting

AirOps Security

⚠️ Vendor-Controlled

• Data stored on AirOps servers
• No self-hosting
• Standard SaaS security
• Limited compliance options
• Vendor lock-in risk

Migration Guide

From AirOps to Draft’n Run

Step 1: Export Your Workflows

# Contact AirOps support for workflow export
# Currently no direct export available

Step 2: Recreate in Draft’n Run

from draftnrun import Workflow, LLMComponent, RAGComponent

workflow = Workflow("migrated-from-airops")

workflow.add_component(
    RAGComponent(
        index="your-docs",
        retrieval_mode="hybrid"
    )
)

workflow.add_component(
    LLMComponent(
        model="gpt-4",
        prompt_template="your-template"
    )
)

workflow.deploy()

Step 3: Migrate Documents

from draftnrun import DocumentIngestion

ingestion = DocumentIngestion()
ingestion.upload_directory("./documents")
ingestion.process_and_index()

Benefits After Migration:

• 30-50% cost reduction at scale
• Full customization capability
• Better performance
• Self-hosting option
• No vendor lock-in

Migration Timeline

Small Projects: 1-2 days Medium Projects: 1 week Enterprise Projects: 2-4 weeks

Real User Testimonials

“We switched from AirOps to Draft’n Run and reduced our AI costs by 40% while gaining much better control over our workflows.” — David Chen, CTO at TechScale

“Draft’n Run’s self-hosting option was a game-changer for our compliance requirements. AirOps couldn’t meet our data residency needs.” — Sarah Martinez, Head of Security

“The advanced RAG capabilities in Draft’n Run gave us 25% better accuracy in document retrieval compared to AirOps.” — James Wilson, AI Engineer

When to Choose Each Platform

Frequently Asked Questions

Can I migrate from AirOps to Draft'n Run easily?

Yes, most workflows can be recreated in Draft’n Run within days. We provide migration support and tools to help with the transition. The visual builder makes it easy to rebuild workflows.

Is Draft'n Run more expensive than AirOps?

Draft’n Run has transparent pricing starting at $0/month. For enterprise scale, Draft’n Run is typically 30-50% cheaper due to better optimization and self-hosting options. AirOps requires contacting sales for pricing.

Does Draft'n Run require DevOps expertise?

For cloud deployment, no DevOps needed. For self-hosting, basic Docker/Kubernetes knowledge is helpful. We provide comprehensive documentation and support for both options.

Can Draft'n Run handle the same marketing use cases as AirOps?

Yes! Draft’n Run can handle all marketing use cases and more. While AirOps provides pre-built templates, Draft’n Run offers greater flexibility to customize workflows exactly for your needs.

What about data privacy with AirOps vs Draft'n Run?

Draft’n Run offers superior data privacy with self-hosting options. Your data never leaves your infrastructure. AirOps is SaaS-only, meaning your data is stored on their servers.

Feature Comparison Matrix

Feature Category	Draft’n Run	AirOps
Deployment	✅✅	⚠️
Customization	✅✅	⚠️
RAG Advanced	✅✅	❌
Agent Orchestration	✅✅	❌
Observability	✅✅	⚠️
LLM Flexibility	✅✅	⚠️
Ease of Use	✅	✅✅
Templates	✅	✅✅
Pricing Transparency	✅✅	❌
Enterprise Features	✅✅	⚠️

Final Recommendation

For Enterprises & Technical Teams: Draft’n Run is the clear choice with better features, flexibility, and cost control.

For Marketing Teams Without Tech Resources: AirOps offers quick setup with pre-built templates.

For Long-term Value: Draft’n Run provides better ROI with no vendor lock-in and superior capabilities.

Why Teams Switch from AirOps

1. Cost Optimization

Save 30-50% at scale with transparent pricing and self-hosting options.

2. Data Privacy

Keep sensitive data on your infrastructure with self-hosted deployment.

3. Advanced Capabilities

Access sophisticated RAG, multi-agent systems, and custom LLM integration.

4. No Vendor Lock-in

Open-source foundation means you’re never trapped with a proprietary platform.

5. Better Performance

Optimized execution engine with <100ms workflow overhead.

Get Started Today

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• Make Alternatives - Make alternatives
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Draft’n Run Platform:

• AI Workflow Builder - Visual workflow builder
• AI Chatbot Platform - Build production chatbots
• AI Automation - End-to-end automation
• Integration Library - 100+ integrations
• Pricing - See plans
• Request Demo - Get started