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PopSQL

PopSQL

Collaborative SQL editor where teams write queries, comment in real time, and share dashboards.

softwareDatabasessql-editordata-collaborationbusiness-intelligence
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Our Verdict

Best for

Data teams that want real-time collaborative SQL editing plus lightweight dashboards in one tool.

Skip if

You need a full-featured BI platform rather than lightweight charts and dashboards.

What is PopSQL?

PopSQL is a browser-based SQL editor built for teams rather than individuals, with real-time collaborative editing, inline comments, and version history on saved queries. It connects to most mainstream warehouses and databases including PostgreSQL, Snowflake, BigQuery, MySQL, Redshift, Azure Synapse, and ClickHouse, and adds autocomplete backed by schema and usage statistics so analysts can find the right table faster. Beyond the editor, PopSQL turns query results into charts and lightweight dashboards with variables for self-service filtering, and can schedule queries to refresh on a cadence and post results to Slack. Now part of Timescale (TigerData), it's aimed at data teams that want a shared, searchable home for SQL work instead of queries scattered across individual notebooks and chat threads.

SpecificationsAI-estimated

deploymentCloud/SaaS
open source❌ No
api available✅ Yes
key integrationsSlack, Git, PostgreSQL, Snowflake, BigQuery

Key Features of PopSQL

Multiple people can edit the same SQL query simultaneously with live cursors, similar to a shared document.
Inline comments on queries let teams discuss logic and edge cases without leaving the editor.
Schema-aware autocomplete suggests tables and columns along with usage statistics and descriptions.
Query results can be turned into charts and combined into lightweight, shareable dashboards.
Dashboard variables let viewers filter results without needing to edit the underlying SQL.
Scheduled queries can run on a cadence and post fresh results to Slack channels.
Version history tracks changes to every saved query so teams can see how logic evolved.
Git integration on higher tiers lets query changes be tracked alongside application code.

Use Cases for PopSQL

1

Team SQL collaboration

Multiple analysts work on the same query together in real time instead of passing files back and forth.

2

Ad hoc reporting dashboards

Turn a saved query into a chart or dashboard that stakeholders can filter with variables.

3

Scheduled Slack reports

Automatically run a query on a schedule and post the results to a Slack channel.

4

Query knowledge base

Centralize and search past queries so institutional SQL knowledge isn't lost when someone leaves.

Pros & Cons of PopSQL

Pros

  • Real-time collaborative editing is genuinely useful for data teams working together
  • Broad database and warehouse connector support
  • Lightweight dashboards avoid needing a separate BI tool for simple reporting
  • Viewers are free, so non-technical stakeholders can see results at no extra cost

Cons

  • Per-editor pricing adds up for larger analytics teams
  • Dashboarding is intentionally lightweight, not a replacement for full BI tools
  • Advanced governance features like SSO and audit logs are Enterprise-only

Frequently Asked Questions

What databases does PopSQL connect to?

PopSQL supports PostgreSQL, Snowflake, BigQuery, MySQL, Amazon Redshift, Azure Synapse, ClickHouse, Presto, and several other warehouses and databases.

Is PopSQL free to view dashboards?

Yes, viewers can see shared queries and dashboards for free; pricing only applies to editors.

Who owns PopSQL now?

PopSQL is owned by Timescale, which operates under the TigerData brand.

Does PopSQL support version control?

Yes, it tracks version history on saved queries, and the Business tier adds Git integration.

Pricing Overview

View full pricing →
Freemium

Free

$0

Premium

$19

Business

$36

Enterprise

Custom

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About the Product

Unclaimed Listing
Platforms
Web
Target AudienceData teams and analysts who write and share SQL together

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