Q1 2025
New features and improvements introduced from January to March 2025
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New features and improvements introduced from January to March 2025
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February 3rd, 2025
New Workspace
Snowflake users can now connect to their Data Warehouse using Key-pair authentication! This is a much more secure alternative to basic username/password authentication as it is highly resistant to brute-force attacks, eliminates password management complexities, and can be easily used as the authentication mechanism for scripts and applications.
We've also added support for Key-pair rotation, enabling users to update the private key of Key-pair connections they own. For more information, see our section on Key-pair authentication for Snowflake connections.
January 30th, 2025
New Builder
Are you working with datasets where multiple rows share the same geometry but have varying attributes, such as administrative boundaries, roads, or infrastructure locations?
The new aggregate by geometry functionality allows you to aggregate those features in your layer visualization and interactions, improving performance while keeping access to detailed insights.
With this update, you can:
Aggregate geometries in your layer to ensure optimal performance.
Aggregate styling and interaction attributes to retrieve relevant information linked to your aggregated feature.
Maintain widget functionality over the original source, enabling drill-down operations for deeper analysis.
January 30th, 2025
New Workflows
With this new release, users and partners can now extend the capabilities of our low-code analytics tool CARTO Workflows by creating, integrating and distributing custom components tailored to their specific spatial analytics needs.
To start creating your own Workflows Extension Packages we have published this public GitHub template. Kick off your own repository out the template and start developing extensions for BigQuery and Snowflake connections.
Additionally, we have published a set of extensions readily available to be installed from the Workflows UI. The initial release boasts a curated collection of extensions, including:
BigQuery ML: Integrate machine learning workflows with your geospatial data using BigQuery ML directly within Workflows.
Google Earth Engine: Unleash the power of Google Earth Engine for advanced spatial analysis tasks.
Google Environment APIs: Bring the power of Google Environment APIs (Solar, Air Quality, Pollen) into your geospatial analytics workflows.
Telco Signal Propagation Models: Analyze telecommunication signals with path profiles, propagation modeling, and obstacle identification.
Head over to the CARTO Workflows documentation to learn more about Extension Packages and explore the initial release offerings.
January 17th, 2025
New Workspace
We've introduced the ability to share maps with individual users! Previously, maps could only be shared with the entire organization, specific user groups, or made publicly accessible via a link.
With this new feature, Editors now have more granular control over map access permissions. Users can select exactly which individuals should have access to a map (and they can revoke it at any time), making it easier to collaborate on specific projects while maintaining security. For more information, see our section on publishing and sharing maps.
January 10th, 2025
New Workspace
We’re excited to announce that CARTO now supports connecting to Google BigQuery via Workload Identity Federation! This new capability enables secure, seamless authentication without requiring service account keys, making it easier to manage access and improving security for your cloud-native maps, workflows and applications.
With Workload Identity Federation, you can set up a trust relationship between CARTO and your Google Cloud projects for a smooth integration — In other words, you will be managing permissions to each of your CARTO users directly in Google Cloud, using IAM rules.
Another benefit of this method is that it provides a framework to effortlessly scale and distribute granular permissions across large-scale teams using CARTO and BigQuery. To get started:
Administrators will need to set up an integration to configure Workload Identity Federation in CARTO.
Once the integration is set up, all users will be able to use Workload Identity Federation when connecting CARTO and BigQuery.
January 7th, 2025
Improvement CARTO for Developers
A few months ago we introduced our framework-agnostic widgets, a new system for developers to add scalable and highly-performant charts and other data components to their CARTO + deck.gl application, with support for vector-based data sources: points, lines and polygons.
Today, we're extremely happy to announce that developers can now build completely custom widgets using spatial index sources as well. These sources aggregate the data in a spatial index system, such as H3 or Quadbin, for increased performance and scalability. The main benefits of the new framework-agnostic widgets apply to spatial index-based widgets as well:
Build anything using H3 and Quadbin sources: from scorecards to bar charts, tables, time series, and everything in between.
Bring your own UI: Use your favorite charting library or custom HTML components.
Easily sync your widgets with the deck.gl map.
Seamlessly use widgets to filter the map and other widgets, fully leveraging your cloud data warehouse computing power.
Built using JS and Typescript only, they are fully compatible with the framework of your choice (Angular, React, Vue...), adding minimal dependencies.
Ready to learn more? Get started by reading the technical reference or by exploring the examples.
