Reduce Analytics TCO by 50% with a Data Lakehouse

Dremio’s Unified Lakehouse Platform slashes analytics TCO by more than 50% compared to Snowflake and other lakehouse platforms.

For years, data management experts have been eager to reduce analytics TCO. As a first step, teams often compare the total cost of ownership (TCO) of data warehouses to data lakehouses. The problem with this comparison is that these analyses focus exclusively on compute costs for data warehouse workloads, omitting the significant hidden costs of data ingestion, storage, and engineering time.

The fact is that real-world use cases show that the overall end-to-end cost of analytics infrastructure for a lakehouse is dramatically less expensive with Dremio.

This whitepaper evaluates the three-year TCO impact of Dremio Cloud against Snowflake using a common analytics use case. Additionally, you will learn:

How you can reduce analytics TCO by more than 50% with Dremio
Key differences between the data warehouse and data lakehouse
Hidden costs of data ingestion, storage, compute, business intelligence, and labor
How Dremio simplifies self-service analytics with a unified lakehouse platform

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Getting Started with Dremio

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