Let Your Users Explore—Without Writing Queries
Add interactive filters for any field in your dataset. Map viewers can drill down into exactly the data they need, with the map updating instantly.
Problem
Static maps show everything or nothing. When stakeholders need to focus on a specific region, product category, time period, or customer segment, they're stuck asking for custom exports or waiting for new reports. Self-service exploration means giving everyone access to the underlying database—which isn't happening.
Solution
Honeycomb Maps lets you add dimension filters for any field in your dataset. Map viewers select values from dropdowns, adjust numeric ranges with sliders, or search for specific items. The map updates instantly to show only matching data. No SQL knowledge required, no database access needed.
Key Benefits
Filter types for every data type
Dropdowns for categories, sliders for numeric ranges, date pickers for time fields, text search for strings. Each filter type is designed to match how users naturally think about that data.
Combine multiple filters
Stack filters to drill down precisely. Show only premium customers in the northeast who ordered last month—all without writing a single query.
Instant visual feedback
The map updates in real time as filters change. Users see immediately how their selections affect the data, making exploration intuitive and fast.
Filters affect everything
When a filter is applied, it affects all layers, metrics, and aggregations on the map. What you see is always consistent and accurate.
How It Works
Example Use Case
A retail analytics team built a store performance map for regional managers. Each manager can filter to just their region, select specific store formats, and focus on particular product categories—all from simple dropdown menus. What used to require custom reports for each manager is now a single shared map that everyone can personalize to their needs.