Butterbase's answer

Butterbase is the only backend platform with native MCP support. This means your AI coding tool — Claude Code, Cursor, Windsurf, or any MCP-compatible tool — can provision your entire backend automatically from a natural language prompt. Database, authentication, storage, APIs, and real-time are set up as part of the same conversation where you describe your app. No other backend platform does this.

Emisar.dev's answer:

emisar lets AI agents work on real infrastructure without giving them a shell. Agents choose from a finite catalog of typed, versioned actions. Policy decides what runs, what requires approval, and what is denied, while an outbound-only runner verifies the action again on the host. New capabilities arrive as packs behind the same MCP integration, and every request is recorded in both a searchable audit trail and a tamper-evident host journal. [

Butterbase's answer

Every other backend platform was built for developers who know SQL and are comfortable reading technical documentation. Butterbase was built for the opposite audience — vibe coders and non-technical founders who build with AI tools and should not have to stop and learn backend development to ship a real product.

If you use Claude Code, Cursor, or Lovable to build your frontend, Butterbase is the backend that works the same way — through conversation, not configuration.

Emisar.dev's answer:

Choose emisar when you want an agent to keep investigating and handling routine operations without handing it SSH credentials or supervising every call. Compared with raw shell access, copy-paste workflows, or one-off MCP servers, emisar provides reviewed action contracts, host-level enforcement, risk-based policy, scoped access, approvals, pack integrity checks, and a durable audit trail. It is built specifically for governed infrastructure access rather than generic automation.

Butterbase's answer

Non-technical founders, vibe coders, and working professionals who build apps with AI coding tools and want a backend that provisions itself automatically. People who have a clear product vision and the AI tools to build it, but should not need backend engineering knowledge to ship something real.

Emisar.dev's answer:

emisar is for SRE, DevOps, platform engineering, infrastructure, and security teams that want AI agents to inspect and operate production systems. It is especially relevant to teams managing multiple Linux hosts, clusters, databases, cloud services, or regulated environments where unrestricted shell access and incomplete audit records are unacceptable.

Butterbase's answer

Butterbase was built because the same pattern kept appearing — builders were using AI tools to create polished frontends in hours, then spending days stuck on the backend. Setting up a database, configuring authentication, understanding APIs — none of it should be the reason a good product never ships.

The rise of MCP made a different approach possible. Instead of asking builders to learn backend development, Butterbase connects directly to the AI tools they already use and handles the backend automatically. The name comes from the idea that the best infrastructure should be invisible — smooth, simple, and always there when you need it.

Emisar.dev's answer:

Founder Andrii Dryga spent a decade working as a CTO, full-stack engineer, SRE, and DevOps engineer. He experienced the cost of running the wrong command on the wrong cluster, while also seeing AI solve operational problems in seconds. emisar grew from the need to preserve both truths: AI agents are useful, and production access must remain bounded. Its answer is to give agents a reviewed catalog of operations instead of a blank terminal.

Emisar.dev's answer:

The hosted control plane and operator interface use Elixir, Phoenix, LiveView, PostgreSQL, and Tailwind CSS. The host runner and MCP bridge are written in Go. Action packs use YAML and JSON Schema, while production infrastructure is managed with Terraform on Google Cloud. The system communicates through MCP, OAuth 2.1, TLS, and WebSockets.

Emisar.dev's answer:

• Blitz.gg - game analytics for billions of matches and a pretty large infrastructure.