Byaan vs Kiln

Byaan is an AI data analyst for asking questions in natural language about connected databases and files. It accepts SQL connections and file imports including CSV, Excel, Parquet, and JSON, alongside PostgreSQL, MongoDB, MySQL, MSSQL, and SQLite. Users can work through Slack, a Mac app, or MCP clients such as Claude Code, Cursor, and Codex, using keys from supported model providers including Anthropic, OpenAI, Azure, Bedrock, Groq, OpenRouter, and xAI. Byaan can retain organizational context and workflows as reusable skills, and read a connected GitHub repository for business rules and data intent. It can produce interactive dashboards and export reports as PDF, Excel, or standalone HTML. The maker says it prevents DDL and DML writes to supported data sources. The Mac App is free for individuals and MIT licensed. A Team Version is self-hosted in a VPC, with multi-user authentication, RBAC, Slack, and automatic HTTPS; it requires Linux and Docker, with 2 GB RAM minimum and 4 GB recommended.

Kiln is an AI workbench for teams building and improving AI systems, with evaluation, fine-tuning, and optimization tools. Users can describe an evaluation goal and generate prompts and synthetic datasets, then compare judge results with human ratings. Kiln supports composing agents and subagents, inspecting tool calls, and evaluating each level of an agent hierarchy. It supports MCP servers and providers including AWS Bedrock, Azure OpenAI, Vertex AI, OpenAI, Anthropic, Fireworks, Gemini, Ollama, and OpenAI-compatible endpoints. Datasets, traces, and evaluations sync to Git. Prompts, outputs, ratings, and fine-tuning jobs are stored as JSON files on the user's filesystem, while provider API calls go directly from the user's machine to the chosen provider. Kiln says it can run fully offline with Ollama, vLLM, Llama.cpp, or another compatible local server. The free Individual plan includes a Python library, source-available desktop app, Git-synced local datasets, rate-limited standard models, and community support.