ironSource managed to transform 500K events per second, using only a visual interface and SQL, saving thousands of engineering hours.
In this brief video, we demonstrate in real-time how easy it can be to build, enrich, preview, and go live with a complete streaming data pipeline
Discover how Upsolver helps you take streaming nested data containing arrays and prepare it for Amazon Athena.
Watch this video to see how quickly you can build a data pipeline and begin analyzing data from your data lake
See how you can combine data lake economics with database simplicity and speed, and simplify your cloud analytics initiatives
We walk you through the architecture and detailed steps to ingest data from Salesforce to an Upsolver-enabled Amazon S3 bucket.
Take this quick tour of Upsolver's capabilities and see how you can combine data lake economics with database simplicity and speed.
Upsolver can load data into many databases including Snowflake. This video guide shows you how to create a Snowflake data output.
Many users are looking for ways to reduce their Splunk cost. This video provides an example of how to index less data into Splunk.
Learn how to set up & operate a data lake using Upsolver, query it from Athena, & visualize anomalies with Looker - with no code.
Amazon Athena is a powerful tool, but the way you build your ETL pipeline can have a major impact on the costs.
Transform 500K events per second, using only a visual interface and SQL, saving thousands of engineering hours.
