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Documentation Platforms SQL Query Generation AI Automation Form Building Tools Code Docs Review Code Generation Low Code Dev Infrastructure Software Development

✓ verifiedFreemium

All-in-one no-code platform combining forms, workflow automation, AI agents, a database and email in a single subscription.

31K visits/mo

The New GitBook

✓ verifiedFreemium

Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.

653K visits/mo2.9K saves

✓ verifiedPaid

AI SQL toolkit for analysts and developers to generate, optimize, validate, format and explain queries across 30+ database engines.

26K visits/mo2.7K saves

✓ verifiedFree trial

Natural-language-to-SQL analytics that deploys in your own Azure tenant, letting teams query databases from Teams, Slack or web.

4.4K saves

Pricing

Free: $0/mo (1,000 credits, 1 seat, unlimited forms)

Basic: $17/mo billed annually at $199/yr (10,000 credits, 3 seats)

Professional: $42/mo billed annually at $499/yr (50,000 credits, 10 seats)

Agency: $125/mo billed annually at $1,499/yr (250,000 credits, 50 seats)

No public pricing

Free trial available

Hobby: $4/mo (50 queries/month)

Starter: $6/mo (200 queries/month)

Explorer: $10/mo (1,000 queries/month)

Pro: $20/mo (3,000 queries/month)

Free trial available

No public pricing

Free trial available

Core features

✦Drag-and-drop form builder with conditional logic
✦Workflow automation with 60+ node types and 400+ integrations
✦Prebuilt and custom AI agents for tasks like lead scoring
✦Relational database with AI-enriched columns
✦Drag-and-drop email builder with AI-drafted content
✦Company and contact enrichment and web research tools

✦Publish structured documentation sites
✦Git sync for docs-as-code workflows
✦AI setup agent to build and import docs
✦GitBook MCP server for AI access
✦Enterprise controls
✦Free tier to start

✦Natural-language to SQL/NoSQL query generation
✦AI-driven query optimization with rewrite suggestions
✦Syntax validation with automated error fixes
✦Query formatting and cross-engine conversion
✦Schema-aware data source connections with autosuggest
✦Rule-based guardrails per connected data source
✦Support for large schemas with 900+ tables

✦Plain-English to SQL query generation
✦Deploys inside your own Azure subscription
✦Works in Microsoft Teams, Slack and web chat
✦In-chat charts and visualizations
✦Connects to SQL Server, PostgreSQL, Snowflake, Redshift, MySQL and more
✦Self-service KPI/intent mapping

Use cases

→Capturing and automatically routing sales leads
→Building onboarding or support-triage workflows
→Running AI-driven lead scoring and qualification
→Sending personalized, data-merged email campaigns

→Publish product and API documentation
→Maintain docs-as-code with Git sync
→Make docs consumable by AI assistants
→Import existing docs into a hosted site

→Analysts writing SQL without deep query-syntax knowledge
→Developers debugging and optimizing slow queries
→Teams standardizing SQL formatting across a codebase
→Migrating queries between database engines
→Learners wanting plain-language explanations of SQL statements

→Let non-technical staff query corporate data
→Self-service business analytics
→Keep data in-tenant for compliance
→In-chat reporting inside Teams or Slack

Visit

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