What's New

What's New


Users working with Spatial Indexes data (Quadbin or H3) in Builder have a couple of new additions that will help them create better and more insightful visualizations:

  • The possibility of adjusting the aggregation resolution for a finer control over the aggregation.
  • Aggregation operations for categories: MODE to get the most frequent category in the aggregated cells; ANY VALUE to get any of the aggregated categories.
analytics toolbox

Starting today, our Databricks users have the possibility to generate spatial index tilesets based on H3 natively in Databricks.

The tiler is a module of our advanced Analytics Toolbox for Databricks that allows to process and visualize very large spatial datasets stored in Databricks. If you are interested in it, please contact with support@carto.com to receive more information about it.

analytics toolbox

Users can now enrich their data tables in Amazon Redshift with features from both their Data Observatory subscriptions and from their other 1st party data tables.

Procedures for Data Enrichment are now included in the Data module of the Analytics Toolbox for Redshift, specific for working with point data, polygons or spatial indexes. Please check out our documentation to find all the details and examples.


Continuing our efforts to improve our sign up and login processes, we’re now launching a new experience. Users should be able to join CARTO in a more smooth way with these new additions:

  • A screen now will offer users the chance to create a new organization or join an existing one if there are users from the same domain.
  • The list of organizations to join now has details about the users, the plan and a search bar to find the desired organization.
  • When you request to join an organization you can now cancel that request (if it was undesired or the admin is unresponsive).
  • When following an invitation the signup form will now be already pre-filled.
  • The process to join an organization is now simpler with less steps.
  • Multiple bug fixes and minor improvements.

Screen showing the new design for signup process

analytics toolbox

CARTO now provides a set of Python packages to allow data scientists to work with our platform from within Python notebooks. These packages allow users to work with geospatial data in a fully cloud native way without having to leave their Python environment, and taking advantage of all the potential that Analytics Toolbox provides to execute advanced spatial analytics in Spatial SQL natively within the leading cloud data warehouse platforms.

private beta

Collaborating on CARTO maps is finally possible, in asynchronous mode. This is helpful in setups such as production-ready maps, where the original owner might be out of office; or in situations where the data, analysis and cartography are each accomplished by different users. This is how it works:

  1. The map owner first needs to enable collaboration for that map.
  2. From that moment, all editors with access to the map will be able to edit it.
  3. If two editors try to edit at the same time, the last one will be locked out, with the option of requesting to take over editing.

This functionality is currently under private beta, please get in touch with your CARTO representative or via our Support team at support@carto.com, so we can activate this feature in your account. We plan to release in general availability during the first half of Q4 2022.