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Warehouse-like capabilities and performance without vendor lock-in or complex engineering workflows
Your teams enjoy shared access to synchronized data from live sources in their analytics and ML targets, from their tool of choice. In the background, we’re running optimizations and cleanup to keep your costs down.
Reduce costs and accelerate queries for Iceberg without managing bespoke optimization jobs
Our Iceberg Table Optimizer continuously monitors and optimizes Iceberg tables, those created by Upsolver and those created by other tools.
Identify waste in your existing Iceberg lakehouse and get an immediate performance boost.
Or, build your first Iceberg lake with Upsolver. Fully-optimized by design.
Give your business an edge with up to the minute data! Easily ingest data from operational stores to the warehouse and Apache Iceberg-based lakehouse with minimal configuration and automatic table maintenance and optimization
Our source and destination connectors are built with scale in mind, offering the most reliable, fast and cost-effective replication solution for PostgreSQL, MySQL, MongoDB, SQLServer and more.
With our Apache Iceberg connector, merging updates and deletes in the data lake is easy and painless. Our table optimizer continuously monitors and adjusts your data to ensure peak query performance for analytics users.
Declare your ingestion job and we’ll do the rest like…
Automatically handle schema drift including new or removed columns, column renames and data type changes
Reliable, strongly ordered, exactly-once delivery at any scale
Quality expectations allow you to alert and eliminate bad quality data from entering your warehouse or lakehouse
The first and only decoupled state store for data movement and shared storage.
Across engineering and data teams
Explore our expert-made templates & start with the right one for you.