The Data Engineer’s Guide to Reducing Your Cloud Data Warehouse Spending
Cloud data warehouse (CDW) costs often scale faster than query volume. Data engineers face rising bills and a lack of stack optionality in their data stack.
This book is here to help.
It examines the transition from a centralized warehouse to a federated, Iceberg-based data lakehouse. It provides a framework to identify which workloads belong in your warehouse, and which can be migrated to an Iceberg data lakehouse, improving both performance and costs.
How does Starburst Galaxy compare? The results speak for themselves:
Starburst Galaxy is 65% cheaper than Snowflake on AWS.
Starburst Galaxy is 65% cheaper than Redshift Serverless when running Iceberg, and 54% faster.
Starburst Galaxy is 67% cheaper than BigQuery on GCP and up to 67% faster on Iceberg tables.
You’ll learn how to:
- Taper data workloads: Cliff-edge data migrations add unnecessary project risk. Instead, learn to taper workloads slowly over time using a sequence of smaller, verifiable steps that ensure business continuity.
- Identify cost nuances: Unpack how hidden egress fees, idle clusters, and over-provisioning quietly inflate your invoice.
- Build technical strategies: Learn to use Iceberg features like time travel, schema evolution, and hidden partitioning to streamline workflows.
Learn how to transition from a cloud data warehouse to an interoperable data stack.
Register today to download the ebook and get started.
Download Now
Cloud data warehouse (CDW) costs often scale faster than query volume. Data engineers face rising bills and a lack of stack optionality in their data stack.
This book is here to help.
It examines the transition from a centralized warehouse to a federated, Iceberg-based data lakehouse. It provides a framework to identify which workloads belong in your warehouse, and which can be migrated to an Iceberg data lakehouse, improving both performance and costs.
How does Starburst Galaxy compare? The results speak for themselves:
Starburst Galaxy is 65% cheaper than Snowflake on AWS.
Starburst Galaxy is 65% cheaper than Redshift Serverless when running Iceberg, and 54% faster.
Starburst Galaxy is 67% cheaper than BigQuery on GCP and up to 67% faster on Iceberg tables.
You’ll learn how to:
- Taper data workloads: Cliff-edge data migrations add unnecessary project risk. Instead, learn to taper workloads slowly over time using a sequence of smaller, verifiable steps that ensure business continuity.
- Identify cost nuances: Unpack how hidden egress fees, idle clusters, and over-provisioning quietly inflate your invoice.
- Build technical strategies: Learn to use Iceberg features like time travel, schema evolution, and hidden partitioning to streamline workflows.
Learn how to transition from a cloud data warehouse to an interoperable data stack.
Register today to download the ebook and get started.
