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Keep everything you love about Snowflake, but at a fraction of the cost with Upsolver and Apache Iceberg.
Save money by:
✅ Keeping only hot data in Snowflake, rest in the lake
✅ Transforming only once, querying with any tool
✅ Choosing the most efficient tool to transform data
Duplicate data, inefficient SQL transformations and unexpected platform fees turn the modern data stack into a money pit
Upsolver replaces proprietary storage, data management and costly compute with an open, efficient and cost-effective Lakehouse architecture built on Apache Iceberg (performance comparison). With this flexible architecture, you keep the full power of Snowflake for analytics and AI, with the cost savings and efficiencies of an open Lakehouse.
Upsolver enables you to keep all of your data in the lake – compressed, sorted and optimized – lowering storage costs by more than 50%. Easily move your most-used datasets to Snowflake for BI and reports, or simply query them in the lake from Snowflake, minimizing duplication.
With raw data in the lake in Iceberg format, you can now transform it once, reducing Snowflake compute costs by 30% and eliminating data unloading costs by 90%. Query and analyze it from anywhere using any tool, including Snowflake.
By keeping your data in the lake in Iceberg format, your engineering and business users can now use their preferred tools like DuckDB, Trino, Spark and Upsolver’s Iceberg Live Tables allowing them to build always-on pipelines using SQL in minutes.
Extending Snowflake with Iceberg allows you to reduce storage and compute costs, enables secure access from many tools and minimizes lock-in. Upsolver’s Lakehouse platform makes it easy to create, ingest, transform and optimize Iceberg tables. Upsolver is integrated with Snowflake and Polaris Catalog seamlessly enabling the Iceberg experience across your organization.
Explore our expert-made templates & start with the right one for you.