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camelAI

CamelAI: Ask in plain English, get instant SQL, insights, and dashboards.

Data & analytics· 4.5·0 saves·Freemium

Quick facts

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CamelAI: Ask in plain English, get instant SQL, insights, and dashboards.
Pricing
Freemium
Editor rating
4.5 / 5
Community saves
0

About camelAI

CamelAI is an AI-powered data analytics platform that turns natural language into SQL, insights, visualizations, and automated reports across 10+ databases. Delivered via a web app, robust API, and secure embeddable components, CamelAI supports stateful/stateless workflows, federated queries, Slack/Teams bots, and sandboxed execution—making enterprise-grade, no-code BI accessible to non-technical teams, SaaS providers, e-commerce, retailers, and SMBs.

Pros

  • AI chat interface that converts natural language to SQL and shows generated queries for transparency
  • Interactive visualizations with written analysis
  • Automatic, auto-refreshing dashboards built in minutes
  • REST API with stateful and stateless analytics modes
  • 10+ database connectors (PostgreSQL, MySQL, ClickHouse, MSSQL, and more)
  • Federated queries across multiple data sources
  • Iterative query refinement based on data exploration and results
  • Company context learning via reference queries and knowledge base
  • Custom themes and full branding with visual builder and CSS variables (light/dark modes)
  • Secure iframe embedding with JWT auth, rate limiting, TTL, model selection, and response modes
  • Slack and Microsoft Teams bot integrations
  • File upload support for CSV, TSV, XLS/XLSX, SQLite, Parquet (up to 10GB) with SSRF protection

Cons

    Pricing

    Free Tier
    $0
    • • Connect data sources
    • • Immediate querying
    • • Self-serve testing without sales-gated onboarding
    • • Chat with data across sources
    API/Enterprise (Cost-Plus)
    $0
    • • Cost-plus API pricing: 25% markup on tokens used
    • • Additional monthly fee
    • • Usage-based billing tied to token consumption
    • • Granular RBAC controls
    • • Audit trails
    • • Federated queries across data sources
    • • Natural language chat agent
    • • Embeddable iframe for SaaS integration
    • • Explainable AI / transparency mode (shows underlying queries)
    • • Multi-model support (LLMs/SLMs)
    • • Streaming architecture
    • • Persistent dashboards
    • • Business context memory
    • • Contact for detailed enterprise pricing and volume terms