Connects to your databases
Capabilities
From documentation to governance, quality audits to IDE integration — one platform.
Catalog every table, column, key, and index automatically.
Gemini-powered plain-language schema explanations.
Database grade, type profiles, and structural audit issues.
Ask questions and generate executive business reports.
Interactive relationship maps and data flow visualization.
Fullscreen docs with entity graphs and live table search.
Print-ready PDF plus JSON and Markdown export formats.
Explore node labels, edges, and graph relationships.
Schema intelligence directly in your IDE via MCP tools.
Product Showcase
From quality audits to AI chat — every capability built for real schema work.
Get a dynamic database grade, data-type breakdown charts, and an issues log with remediation tips — missing keys, naming issues, and constraint gaps flagged automatically.
3 tables missing primary keys
Add PK constraints to improve integrity score
Fullscreen reference manual with interactive entity network graphs, live table search, and book-style markdown — shareable at a dedicated document URL.
customers
id · uuid · PK
email · varchar
created_at · timestamp
Ask natural-language questions about your schema. Gemini generates executive overviews, governance insights, and key findings — metadata only, zero raw data exposure.
Which tables reference customers?
orders, subscriptions, and support_tickets all have FK → customers.id
Interactive relationship maps with clickable nodes, schema grouping, and lineage views that trace how data flows across your tables and foreign keys.
Browser-native print engine with opaque dark backgrounds, page-break safeguards, and exports to JSON, Markdown, and full report formats.
Connect PostgreSQL, MySQL, Snowflake, or Neo4j. Explore node labels, edge types, and property structures with dedicated graph visualizations.
(:Person {name}) ──→ (:Movie {title})
IDE Integration
Connect via MCP and query your schema, run quality audits, generate documentation, and chat with AI — without leaving Cursor, VS Code, or Antigravity.
One-command setup
Build the MCP server, copy the config template, and set your database URL. Schema intelligence flows directly into your AI assistant.
{
"mcpServers": {
"datalens": {
"command": "node",
"args": [".../mcp-server/dist/index.js"],
"env": { ... }
}
}
}
Workflow
01
Paste your database URI — PostgreSQL, MySQL, Snowflake, or Neo4j.
02
AI scans your schema, generates docs, and runs quality audits.
03
Browse ER diagrams, lineage maps, and the reference manual.
04
Chat with AI, export reports, or use MCP tools in your IDE.
No more manual documentation or schema archaeology.
Automated governance insights and PII detection.
Anyone can understand and explore your data.
Under 30 seconds from connection to full intelligence.