AI-powered query building and app creation with more connectors and a simpler path from query to shared tool.
Build with AI at the core. Generate SQL from plain English, scaffold dashboards, and ship internal tools — all schema-aware and AI-native from the ground up.
Your infra, your data. Run QueryPlane on your own servers — no data ever leaves.
A real editor. Autocomplete, syntax highlighting, and instant results.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Visualize anything. Tables, line, bar, and pie charts wired straight to your queries.
Drag and drop. Compose forms, tables, and admin tools backed by your live schema — no frontend code required.
One workspace. Everything Count does and more.
See how QueryPlane stacks up against Count
| Feature | QueryPlane | Count |
|---|---|---|
| AI-powered queries | ||
| Web-based | ||
| Self-hostable | ||
| Free tier | ||
| SQL editor | ||
| Visual query builder | ||
| Dashboard builder | ||
| App builder | ||
| Team collaboration | ||
| Database connectors | 15+ | 5 |
| API integrations | ||
| Real-time data | ||
| Setup time | Minutes | Minutes |
| Pricing | Free tier available | Custom pricing |
Count is a collaborative analytics canvas that combines SQL, visualizations, and narrative in a single workspace. It uses a node-based interface where queries flow into charts and text, creating connected analytical stories. For data teams that want to combine exploration with presentation, Count's canvas approach is innovative.
QueryPlane provides a more traditional but faster workflow. Instead of arranging nodes on a canvas, you write SQL (or let AI generate it), see results immediately, and build dashboards or internal tools from those results. The path from question to shareable output is shorter and simpler.
Both tools have AI capabilities, but QueryPlane's AI is more deeply integrated — generate SQL from natural language descriptions that understand your schema context. QueryPlane also goes beyond analytics with interactive app building: admin panels, data entry forms, and operational tools that Count's canvas format doesn't support.
Count's database support focuses on cloud warehouses. QueryPlane connects to operational databases like MongoDB, MySQL, ClickHouse, and more alongside warehouses, giving you broader data access from a single tool.
Everything you need to know about QueryPlane vs Count
Count canvases are designed for analysts — they're great for exploration but not intended for non-technical end users. QueryPlane lets you build polished internal tools with forms, tables, and charts that anyone on the team can use without understanding SQL.
QueryPlane was built with AI at its core — describe data needs in plain English and get working SQL instantly. Count has added AI features to its canvas, but QueryPlane's deeper AI integration provides a more seamless query generation experience.
Count is cloud-only and focused on data warehouses. QueryPlane supports self-hosting and connects natively to operational databases like MongoDB, MySQL, and ClickHouse alongside cloud warehouses.
Count's canvas paradigm is innovative but adds a learning curve — arranging queries, results, and charts on an infinite canvas. QueryPlane offers a more conventional, focused workflow: write a query, see results, build a UI. Less conceptual overhead.
Teams that want to build internal tools for end users, not just analyst-facing canvases. Organizations needing AI-powered querying, self-hosting, and broader database connectivity including operational databases.
Data analysts and analytics engineers who want a collaborative, visual canvas for exploratory SQL analysis. Teams that value Count's unique drag-and-drop approach to building analytical narratives and sharing findings with stakeholders.
Count offers a free tier for individual use with limited features. Team and Enterprise plans are available at custom pricing. QueryPlane also offers a free tier with AI-powered querying and app building included.
QueryPlane is a strong alternative for teams that want AI-powered SQL and end-user app building. For canvas-style analysis, Hex offers a notebook approach. For simpler BI, Metabase is popular. For SQL editors, PopSQL is a collaborative option.
Count focuses primarily on cloud data warehouses. MongoDB and MySQL are not among its primary supported connectors. QueryPlane natively connects to both, along with Postgres, Snowflake, BigQuery, ClickHouse, Databricks, and Redshift.
QueryPlane is better for internal tools. Count is designed for analyst-facing exploration canvases, not end-user applications. QueryPlane lets you build polished data apps with forms, tables, charts, and logic that non-technical team members can use.
No. Count is a cloud-hosted platform with no self-hosting option. QueryPlane supports self-hosting on your own infrastructure, giving you full control over your data and deployment environment.
Stop writing boilerplate. Start building the tools your team actually needs—in minutes, not months.