FEATURED CASE STUDIES

"Upsolver is like the “easy button” for Snowflake. We ingest data from our Kafka streams, process it as necessary for different use cases, and deliver it, all while observing how our schema and data are changing in real time."

"Upsolver has saved thousands of engineering hours and significantly reduced total cost of ownership, which enables us to invest these resources in continuing our hypergrowth rather than data pipelines."

“I saw a demo of Upsolver and it looked amazing, but I thought - ‘well, it’s just a demo’... then I started working with the software and could get exactly the structures I needed out of the hundreds of gigabytes we were streaming daily, and it just worked.”

"Upsolver's ETL pipeline helped improve our efficiency and reduce the time from ingestion to insight from 24 hours to minutes."

"It was a classic decision to build vs. buy. With Spark, we need to build and understand every technical detail and Upsolver worked out-of-the-box."