Load Amazon S3 data to Snowflake in minutes.
Load any data stored in AWS S3 as CSV, JSON, Gzip or raw to your data warehouse to run custom SQL queries on your analytic events and to generate custom reports and dashboards. Combine your S3 data with other data sources on Snowflake to make it even more valuable.
How it works
By leveraging the Alooma enterprise data pipeline, you can easily integrate, connect, and watch your Amazon S3 data flow into Snowflake.
Add Amazon S3 as a data source.
Map Amazon S3 data to Snowflake.
See Amazon S3 data flow into Snowflake.
Export your Amazon S3 data along with all of
your other data sources to Snowflake.
Alooma's S3 input continuously monitors an S3 bucket or a path within a bucket for new files, and streams their content to your data warehouse. Read more about Alooma's S3 input.
Bring all your data sources together
Select from any number of data sources, from low to high volume, Alooma’s infrastructure scales to your needs.