We're excited to announce that Ambee's climate intelligence suite is now available on Snowflake Marketplace.
Teams can now query Ambee's live environmental data directly within their Snowflake environment and combine it with their business data without building or maintaining ETL pipelines. Powered by Snowflake's secure zero-copy sharing, every dataset stays current as updates are published.
Ambee transforms data from satellites, weather models, radar, and ground stations into globally consistent, analytics-ready datasets covering historical records, present conditions, and forecasts.
With Snowflake Marketplace, that intelligence can now be queried alongside operational, customer, and business data using familiar SQL, without any additional infrastructure.
What's available on Snowflake Marketplace
Ambee's Marketplace listings provide instant access to three environmental datasets. Each includes separate historical, current, and forecast tables, refreshes hourly, and can be queried for any latitude/longitude or user-defined geography.
1. Global Air Quality Data
AQI and pollutant concentrations including PM2.5, PM10, NO₂, SO₂, CO, and O₃
15+ years of historical data, present conditions, and forecasts up to 96 hours
Built by combining regulatory monitoring stations with satellite observations into a standardized global dataset
Each Marketplace listing includes sample data, detailed documentation, and enterprise licensing options, making it easy to test, validate, and deploy.
“By making Ambee’s environmental intelligence natively available on the Snowflake Marketplace, we are removing the friction of data ingestion for our customers. Businesses can now seamlessly combine our hyper-local climate, air quality, and pollen data with their internal operational datasets, allowing them to mitigate environmental risk and build climate resilience faster than ever before.” - Craig Stelmach, SVP of Business Development
Ambee's datasets are now natively available within the Snowflake AI Data Cloud, making it easy to bring environmental intelligence into analytics, machine learning, and AI workflows without changing existing infrastructure.