Q4 2024

New features and improvements introduced from October to December 2024

New framework-agnostic widgets in CARTO for Developers

October 9th, 2024

New CARTO for Developers

Developers using CARTO + deck.gl are scaling and accelerating their geospatial apps with powerful layers, using live data from their cloud data warehouse. Now, they can also add scalable, interactive charts and widgets to their geospatial applications.

This is what we love about the new CARTO Widgets:

• Use flexible and scalable data models to achieve exactly and quickly what you need: 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 with JS and Typescript, they are fully compatible with the framework of your choice (Angular, React, Vue...), adding minimal dependencies.

We're excited to see what you build! — To get started, head over to the technical documentation or check the new examples for CARTO Widgets.

Dynamic aggregation of point layer into clusters

7th October, 2024

New Builder

We've introduced a new functionality in Builder to dynamically visualize your point data as clusters, helping you gain deeper insights and uncover trends more effectively.

By aggregating point data into clustering, you can:

• Reduce Visual Clutter: Automatically group nearby points into clusters as you zoom out, helping you maintain clarity and readability, even with dense datasets.

• Enhanced Performance: Clustering improves performance by reducing the number of individual features rendered, making it easier to handle large datasets without compromising speed.

• Meaningful Aggregation: See patterns emerge as points are grouped into clusters, helping you identify hotspots, trends, and areas of interest quickly and effectively.

• Interactive Exploration: As you zoom in and out, clusters dynamically adjust, revealing individual points as you get closer, giving you seamless interaction with your data at different scales.