What's New

What's New

improvement
APIs

A couple important fixes have been implemented to our Dynamic Tiling strategies. Dynamic Tiling is the technology CARTO has developed to dynamically generate tiles for medium sized dataset and layers loaded as SQL Queries from your cloud data warehouse.

  • When working with points, many times widgets were not showing data due to our “visual aggregation” strategy when points were very close to each other. We have now removed this type of aggregation, and we are only applying a limit of 200k points per tile to prevent performance issues. If now you encounter widgets not showing data, you just need to zoom in to reduce the number of points per tile.
  • With our previous strategy some polygons or lines that were falling in the intersection of multiple tiles were splitted for visualization purposes, which was making the same data point count multiple times in widgets. We have solved this problem by asking the user to identify a unique id property for the data source at the time of creating widgets.

New interface to manage invitations and requests

improvement
workspace

As part of an active taskforce to improve our sign up and login processes, we have now released an improved interface for Admin users to manage invitations to join the CARTO organization and to manage user requests to join it.

New interface to manage invitations and requests

new
analytics toolbox
builder
workspace

We are very excited to announce that users of Google BigQuery can now geocode their tables with address data and create trade areas around locations based on drive/walk time isolines natively from their data warehouse. These procedures call external location data service providers such as TomTom, HERE and Mapbox. Please check the SQL Reference of our Analytics Toolbox for BigQuery for more details, and also refer to our examples on how to geocode your data and create isolines.

Note that these functionalities are also enabled from the Data Explorer and Builder tools.

new
analytics toolbox

Users of AWS Redshift can now access a new set of geostatistics functions to expand the spatial capabilities of their data warehouse with CARTO’s Analytics Toolbox. We have released Getis-ord Gi*, Moran’s I and p-value methods that can run natively with your data hosted in Redshift. Learn more about these analytical functions in our product documentation.

new
builder

From today, users of Builder can add a new type of widgets to their interactive maps. The Range widget allows you to filter data based on precise numeric ranges.

new
analytics toolbox

Retailers working with Google BigQuery and CARTO can now analyze the potential cannibalization cased by a set of new stores into their existing networks, based on the overlap of the different trade areas in terms of geographic area but also in terms of any other spatial feature that the user wants to use in the analysis (e.g. population, number of households). Check out our documentation and this example to learn more about how to run this analysis with our Analytics Toolbox for BigQuery.

Cannibalization Analysis example