Home/Cerberus vs InsForge

Cerberus vs InsForge

Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).

🏆 InsForge leads with 645 upvotes

Cerberus
Cerberus

Keep Grafana®. Swap the backend.

0 upvotes💻 Developer ToolsJul 2026

Cerberus is an innovative open-source gateway designed to enhance the flexibility of monitoring and observability stacks, specifically tailored for Grafana users. It allows seamless swapping of backend data sources like Prometheus, Loki, and Tempo with ClickHouse, providing a more scalable and performant alternative without sacrificing existing dashboards, alerting mechanisms, or CLI tooling. This makes it an ideal choice for developers and DevOps teams seeking to modernize their telemetry infrastructure while maintaining their familiar visualization environment. What sets Cerberus apart is its drop-in compatibility, enabling users to transition to ClickHouse effortlessly and leverage its high-speed querying capabilities and efficient data storage. Its open architecture ensures that teams can tailor their setup to meet evolving demands without overhauling their entire observability stack.

Pros

  • Enables seamless backend replacement without disrupting existing Grafana setups
  • Open-source, customizable, and flexible for various telemetry data sources
  • Improves query performance and scalability with ClickHouse backend
  • Retains existing alerting, dashboards, and CLI tools, reducing migration overhead

Cons

  • Relatively new tool with a smaller community and ecosystem
  • Requires familiarity with ClickHouse and backend configuration
  • Potential compatibility issues with complex or custom Grafana setups

Best for

  • Replacing Prometheus backend for improved scalability in large environments
  • Migrating from Loki to ClickHouse for more efficient log querying
  • Switching Tempo backend to enhance trace data processing performance
  • Modernizing observability stacks without redesigning dashboards

Pricing: Cerberus is open-source and free to use, making it accessible for individual developers and organizations seeking cost-effective telemetry solutions.

InsForge
InsForge

Give agents everything they need to ship fullstack apps

645 upvotes💻 Developer ToolsMar 2026

InsForge is an innovative open-source backend platform designed specifically for agentic development, enabling AI agents to build, deploy, and scale fullstack applications with ease. Its comprehensive suite includes databases, authentication, storage, model gateways, and edge functions, all accessible through a semantic layer that makes complex backend operations understandable and operable by AI agents. Whether deploying on InsForge Cloud or your own domain, developers can rapidly create robust, scalable apps with minimal friction. What sets InsForge apart is its focus on empowering AI-driven development workflows, making it ideal for teams leveraging AI agents to automate app creation, testing, and deployment. Its open-source nature, combined with a growing community (2.3K GitHub stars), ensures flexibility and continuous improvement, making it a compelling choice for innovative developers and organizations exploring agent-based app development.

Pros

  • Open source backend with active community support
  • Semantic layer simplifies backend operations for AI agents
  • Comprehensive features including databases, auth, storage, and edge functions
  • Flexible deployment options to InsForge Cloud or own domain
  • Designed specifically for agentic development workflows

Cons

  • Relatively new with a smaller user base compared to mainstream platforms
  • May require technical expertise to set up and optimize
  • Limited out-of-the-box integrations with third-party tools

Best for

  • Building fullstack applications driven by AI agents
  • Automating app deployment and scaling processes
  • Rapid prototyping of agent-controlled apps
  • Creating scalable backend services for AI-powered platforms

Pricing: Likely free and open source, with optional paid hosting on InsForge Cloud or custom deployment options; specific pricing details are not publicly specified.