Alternatives
CARTO alternative for teams without a data warehouse
CARTO runs spatial analysis on top of your own cloud data warehouse. MapBees comes with its data: places, buildings and census for 147 cities on one hex grid, with the analyses as named map types and no SQL.
Where CARTO fits
CARTO is a cloud-native platform for location intelligence. It connects to the data warehouse your company already runs and brings spatial analysis, apps and developer tools to the data you keep there. It is strongest when you have that data and a team to work with it. MapBees is for the question that comes before that investment: which neighborhoods are worth a closer look, using data that is already on the map.
Where CARTO is the better fit
- Your own data lives in a cloud warehouse, and the analysis should run there.
- You are building a custom app, dashboard or workflow for other people in your company.
- You need to combine many datasets of your own, at a scale and update rhythm you control.
What you can answer in MapBees today
| Your question | Where in MapBees | What you see |
|---|---|---|
| Where do lots of residents meet little retail space? | Cross two (bivariate) | Two measures on one 3×3 color grid, so the combination you care about is one color. |
| Where are the real hot spots of gyms? | Clusters (Getis-Ord Gi*) | Only hexes that pass the significance test are marked busy or quiet. |
| Which stores win the contested demand? | Market Share (Huff gravity model) | Demand split between your stores and competitor stores by attractiveness and distance, with a CSV report. |
| How even is the mix of cuisines? | Variety (Shannon) | How evenly a set of kinds of place is spread in each hex. |
| Where are the top groups of hexes? | Standouts | Find Standouts outlines the top groups of nearby hexes on any map and names them by neighborhood. |
Try it on a real map
Each button opens the example in the map app, ready to change.
Market share, ready to run
Place your stores and competitor stores, give each an attractiveness, and pick how demand is counted: residents, households, income or building volume. Market Share draws each store's catchment, splits the contested hexes with the Huff gravity model, and reports captured demand, share and cannibalization store by store.
What MapBees does differently
- Nothing to connect: measures from five groups, from Building volume to Affluence, are already loaded for every city.
- Formulas without SQL: Fair share, Missing, Clusters, Variety and Cross two are map types with plain-word controls.
- Questions in plain words: Scout Bee builds the map from a sentence and lists its Standouts, the top groups of nearby hexes, by neighborhood.
- Answers with sources: the questions-answered pages for large cities name the source and census year behind every answer, and say what the data cannot show.
Frequently asked questions
Do I need a data warehouse to use MapBees?
No. The data is already in MapBees: open the map in your browser, pick a city and start. The full app is on the Free Tier.
Can MapBees connect to my own data?
No. MapBees maps its own catalog. If your analysis depends on data in your own warehouse, CARTO is built for that.
Can I share what I find?
Yes. Copy link reopens the same map for anyone, Export map (PNG) saves an image, and Export ranked hexes (CSV) downloads the ranking.
Keep reading
How a Cross two (bivariate) map works, explained simply
A Cross two map (the field calls it a bivariate map) shades every hex by two measures at once. Using residential plus outbuilding volume vs. total population in New York City, here is how to read the colors, the units, the real band edges under the legend, and the classification the map chose for each axis - in plain language.
Read the guideHow to use Market Share (step by step)
Want to know how much of the local customers a store would actually win - and how much your own stores steal from each other? This step-by-step guide walks you through the Market Share tool from the first click to the final report, with no jargon.
Read the guideThe complete measure catalog
A searchable index of all 2,037 measures behind a MapBees score — what each one measures, which countries publish it, and how many cities actually carry it.
Read the guideCARTO is a trademark of its respective owner. This comparison describes each product's public positioning as of October 3, 2026, and is not affiliated with or endorsed by CARTO.
About the author
Tinkal Gogoi(LinkedIn profile, opens in a new tab)Founder & Location Data Engineer
Builds MapBees's location-intelligence pipeline end to end — census and Overture Maps ingestion, H3 hex scoring, and the map interface — and writes the methodology behind every number on the site.
