What's New

What's New

private beta
analytics toolbox

Today we are making available under private beta the option for Admin users to install the Analytics Toolbox in their Snowflake accounts with a simplified process assisted by the CARTO UI.

From the Settings section of the CARTO Workspace users can now install, update and uninstall the Analytics Toolbox for Snowflake without external support. All details for setting up your Snowflake resources and to carry out the installation process can be found in our documentation.

If you would like to get access to this new feature while in private beta, please contact CARTO’s support team at support@carto.com.

new
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.

new
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.

beta
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.

beta
analytics toolbox

We have released in beta a new domain-specific module in the Analytics Toolbox for BigQuery to solve advanced geospatial analysis for the CPG / FMCG sector, starting with customer segmentation. We now offer a set of procedures that allow users in that industry to solve this use-case end-to-end, from the generation of trade areas to running multiple segmentation scenarios of merchants based on a customisable set of spatial features. In this recent blogpost we showcase how to use these analytical routines with a specific example.

Customer segmentation result Bay Area

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.