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Enterprise Layer Intelligence
Categories/Developer Tools/Popsql
Popsql

Popsql

Founded by Rahil Sondhi in 2017

Write, share, and visualize SQL queries collaboratively with your data team

Pricing model

Free Tier, Paid

Rating

★ Positive

Time to value

Immediate

You can use PopSQL to write, organize, and share SQL queries across your entire team in real time. It lets team members collaborate directly inside the editor, leave inline comments, and track query version history with Git integration. You can explore complex database schemas, rely on autocomplete suggestions, and quickly build visual charts or lightweight dashboards from query results. PopSQL also allows you to manage shared database connections securely, use variables for non-technical team members, and push automated data insights directly to Slack.

What Popsql does

Write and execute SQL queries across multiple database enginesLeave inline comments on teammates' SQL queriesGenerate charts from query result setsConnect to private databases via SSH tunnels or bridge connectorsSearch for previously written company queries and data modelsRevert query changes using version history diffsReal-time collaborative SQL editing with live cursorsCentralized query repository with folder organization and searchSchema browser with table definitions and query autocompleteIn-editor charting and lightweight dashboard creationInline comments and Markdown descriptions directly on SQL queriesFull version history with visual diffs and Git version control integrationShared database connections with granular access controlParameterized query variables for non-technical team members

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
Free (per editor)Free
Premium (per editor)$19 / mo
Business (per editor)$36 / mo

Frequently asked

SlackSlackPostgreSQLPostgreSQLSnowflakeSnowflakeBigQueryBigQueryClickHouseClickHouseOktaOkta

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PopSQL, collaborative SQL editor, SQL editor, data collaboration, query sharing, database schema browser, SQL autocomplete, data visualization, query version history, lightweight dashboards, shared database connections, PostgreSQL, Snowflake, BigQuery, MySQL