Inngest vs Mage: Features, Pricing and User Reviews 2026
Compare features, pricing, reviews, and more to make an informed decision
Inngest
Inngest is a developer platform for building reliable workflows and background jobs with zero infrastructure using durable step functions.
Mage
Mage is an AI-powered data pipeline platform that helps teams build, manage, and scale data workflows efficiently.
Inngest
Inngest is a developer platform for building reliable workflows and background jobs with zero infrastructure using durable step functions.
Mage
Mage is an AI-powered data pipeline platform that helps teams build, manage, and scale data workflows efficiently.
Inngest
Durable step functions with automatic retries and state management
Event-driven workflow triggers and scheduling
AI orchestration with AgentKit for multi-agent systems
Multi-language SDKs (TypeScript, Python, Go)
Real-time observability with logs, traces, and metrics
Multi-tenant concurrency control and throttling
Self-hosting and cloud deployment options
Serverless, edge, and server compatibility
Mage
AI-powered code generation and debugging assistance
Multi-language support (Python, SQL, R, dbt)
Real-time streaming and batch data processing
Pre-built connectors for 300+ data sources
Built-in monitoring, testing, and alerting
Collaborative workspace with version control
Flexible deployment (cloud, hybrid, on-premises)
Dynamic scaling and performance optimization
Enterprise security and compliance features
Notebook-style interface for easy development
Inngest
Inngest offers flexible pricing plans that scale with your usage. The Hobby plan is completely free and includes 100,000 executions per month, perfect for getting started and small projects. After the free limit, you pay only $50 per million additional executions.
The Pro plan starts at $75 per month and includes higher execution limits, advanced features like granular metrics, increased scale and throughput, and extended trace retention. Pro users get priority support and enhanced monitoring capabilities.
For larger organizations, Enterprise pricing is available with custom terms. Enterprise includes SAML authentication, role-based access control (RBAC), audit trails, dedicated Slack support, and 90-day trace retention. Enterprise customers also get exportable observability data and service level agreements.
All plans include unlimited environments for development and staging, making it easy to test workflows before production deployment.
Mage
Mage AI offers flexible pricing to accommodate different team sizes and requirements. The Prototype plan is completely free and perfect for learning and experimenting, though it doesn't include pipeline runtime capabilities.
The On-demand plan costs $100 per month plus usage-based billing at $0.29 per CPU-hour or 4GB RAM-hour of pipeline runtime. This plan is ideal for small to medium teams who want predictable base costs with scalable compute.
For larger organizations, Enterprise plans feature custom pricing with the same usage-based runtime billing model. Enterprise customers get additional benefits like dedicated support, advanced security features, and priority assistance.
All plans include core features like AI assistance, data integrations, and collaboration tools. The platform also offers various deployment options from fully managed cloud hosting to on-premises installation, ensuring you can choose the setup that best fits your security and compliance requirements.