Explore our expert-made templates & start with the right one for you.
Easy button for high-scale data in 
Enjoy the cost savings and shared access of a cloud-native lakehouse, without the engineering pain.
27 Trillion rows
ingested/month
50 PB
managed/month
35 GB / sec
peak throughput
Data movement at scale
Ensure your critical data is delivered to downstream users reliably, accurately and on time.
When you combine high-volume data with frequent updates and in-flight processing, you need expert plumbing. Upsolver moves data from complex sources (streams, CDC, files) into your warehouse or lake reliably at scale.
Open lakehouse control center
Support users from each business function to access data their way—but stay in charge.
Avoid functional silos and inconsistent performance in the lakehouse by using Upsolver as your control center. A single pane of glass for all your data, based on the open Apache Iceberg table format.
Build, monitor & share
Empower every part of your business with up to the minute data
Easily ingest data from operational stores, streams, and files into the warehouse and open Iceberg lakehouse. Then transform, observe, and manage your unified data from the control center.
Zero-ETL ingest
data at scale
Transform with declarative SQL
Observe metrics
in real-time
Share with the
open ecosystem
We'll take care of performance
With continuous analysis and opportunistic optimization of your data movement jobs and lakehouse tables.
Unified data
Unified dev experience
Upsolver matches your development style and gives you the tools you need to ensure quality, on-time data.
Designed and priced for scale
Upsolver charges by data volume. Competitor charges by ‘active rows’.
This key difference drives order-of-magnitude savings when data volumes scale
Empowering the next generation
of data developers
From startups to enterprises
