CARTO’s new platform is designed to give you a fully cloud native experience, allowing you to run CARTO on top of your leading cloud data warehouse platform of choice (i.e. Google BigQuery, Snowflake, AWS Redshift, and any PostgreSQL-based data warehouse platform).
No, your connection allow us to perform queries against your data on your behalf, and the results are either stored again in your data warehouse or rendered in the client, as visible maps. CARTO being fully cloud native means no storage needs, less security concerns and no need for data replication or complex ETL processing.
For users who do not have any cloud data warehouse platform to which they want to connect CARTO, we are offering cloud storage and computing resources in what we call the CARTO Data Warehouse. A CARTO Data Warehouse connection is offered by default with your CARTO subscription.
Yes, at the moment you can import both local or remote (via URL) Shapefiles, CSV or GeoJSON files. You have more details available in the corresponding section of our User Manual.
A tileset is a set of vector data broken up into a uniform grid of square tiles, and it is a lightweight data format for storing large geospatial vector data and their attributes. Each individual tile is a row in a table, with the tile coordinates and the encoded MVT stored in different columns. Tilesets are cacheable and load quickly, which make them a great solution to process and visualize large datasets of millions or even billions of rows. Learn more about them here
Note that creating tilesets is currently only available for data accessible via Google BigQuery and CARTO Data Warehouse connections.