camelAI
CamelAI: Ask in plain English, get instant SQL, insights, and dashboards.
camelAI is a freemium AI tool. CamelAI: Ask in plain English, get instant SQL, insights, and dashboards. Editors list 12 strengths on this page, next to the published price.
Quick facts
- Best for
- 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
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