CARTO Alternative for Data Teams
Open-source map analytics for BigQuery and Snowflake. Write SQL, get maps instantly. No data movement, no vendor lock-in.
Free plan available. Paid plans from $49/month.
Dekart vs CARTO
| Features | Dekart Create Map | CARTO |
|---|---|---|
| Pricing & Access | ||
| Free plan | ||
| Paid plans | From $49/mo | Custom, not published |
| Setup time | Minutes | Sales cycle |
| Data Warehouse Support | ||
| BigQuery Native connector with multithreaded fetching | ||
| Snowflake Native connector with multithreaded fetching | ||
| Data stays in your warehouse No data copies, no ETL pipelines | Depends on plan | |
| Workflow | ||
| SQL-native workflow Write SQL, see maps instantly | Builder UI + SQL | |
| Visualization engine High-performance WebGL rendering | Kepler.gl / deck.gl | deck.gl |
| Shareable map links | ||
| Deployment & Ownership | ||
| Open source | Yes (AGPL) | Partially |
| Self-hosting Docker, GKE, App Engine | ||
Why Data Teams Switch from CARTO to Dekart
"The integration required significant additional processing to get our data ready to visualize"
Data analytics lead at a Databricks team. CARTO requires reshaping your data before you can map it. Dekart queries BigQuery, Snowflake, and Postgres directly. Write SQL, see a map. No data prep, no extra processing.
"Carto charges too much, stopped liking them before I even started"
Data engineer. CARTO does not publish pricing. Teams report contracts starting around $4,000+/month. Dekart starts free, paid plans from $49/month. No sales calls.
👉 See Dekart Cloud pricing
"I favor interoperability, cooperation, and open source, which are things they can't offer"
Geospatial department manager. Dekart is fully open-source (AGPL). Self-host on any infrastructure or use Dekart Cloud. Your maps are SQL queries in your warehouse. Nothing proprietary to migrate away from.
👉 Self-hosting options
"We only use open tools that we can configure and inspect"
Senior data engineer. Dekart runs as a single Docker container. Deploy on GKE, App Engine, or any Docker host. Full source code on GitHub, inspect and configure everything.
👉 View on GitHub
"Lock-in is less of a concern than cost, and cost of switching"
Enterprise data lead. With Dekart there is no switching cost. Your maps are SQL queries, your data stays in your warehouse. Start free, export anytime.
👉 See live map examples
What Our Users Say
Daniel Lewis
Distinguished Data Scientist
Geotab
Over the last year we have been migrating our geospatial data visualization out of jupyter notebooks and various ad-hoc tools onto the Dekart.
Sharing investigations and results with other teams at the company is seamless and I have one-stop-shop for all of my saved maps.
The feedback from the rest of the data science team has been unanimously positive.
Laetitia Jumel
VP of Data
Electra
Visualizing data on maps can be super effective to understand local dynamics. For communication, maps never disappoint.
We are really glad to have found a tool that connects to our data warehouse and allows us to handle geospatial data at scale and very easily.
I made this map with one SQL query and took just a few minutes to ensure that it looks good!
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