However, there are some potential competitors from China existed, including Geohey, GeoQ, and Changjing.AI.Īfter 9 years of development, CARTO has established a team with more than 150 employees spread across the US and Europe. With a 1.6 billion population, China has the biggest potential location intelligence market. Besides, Carto also participates in Europe’s NextGenerationEU program.Įxcept for USA and Europe, Carto also raises the interests from China. Furthermore, a Python package called Cartoframes can be used to integrate Carto into existing workflows, which is convenient for data scientists.Ĭarto has built a business relationship with lots of customers, such as Renault, JLL, Bumble, DHL, T-Mobile, Coca-Cola, and Mastercard. All of the spatial extension from Carto runs on top of all the major data warehouses, giving users a complete, performant, scalable, and secure suite for geospatial analysis. Carto’s spatial data consists of road traffic, human mobility, financial, housing, points-of-interest (POI), and other public and premium datasets.Īfter data enrichment and management, users can conduct spatial analysis and perform spatial analytics using Carto’s self-service Carto Builder in the cloud, which can help teams create maps in a short time period. The company has compiled around 10,000 data sets from both open data sources and private providers. Carto also provides their own data catalogue for its clients. Spatial SQL uses same kinds of elements and structure as regular SQL, which is compatible with all modern analytics stacks.Īfter that, Users can operate and enrich their data using SQL queries. This solution is more scalable, interoperable, and cost-effective for working with spatial data through Spatial SQL. With support for data warehouses (Amazon Redshift, Google BigQuery, or Snowflake), databases (PostgreSQL, MySQL, or Microsoft SQL Server), or cloud storage services (Dropbox, Box, or Google Drive), Carto provides a fully cloud-native approach to spatial analytics. ![]() Users can connect to cloud data directly, but also upload local files for historical data. ![]() Carto supports the data format from multiple sources. According to the data management needs of the GIS developers, data scientists, and analysts, Carto offers cloud-native, on-premise, and hybrid deployments to support them connect their various data sources, including data warehouses and business intelligence (BI) tools.
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