Data Lakehouse vs. Data Warehouse: Key Features

1
Data Lakehouse vs. Data Warehouse
Understand the difference between Data Warehouses
and Data Lakehouses to choose the right solution
for your business needs.
2
What is a Data Warehouse?

• A Data Warehouse is optimized for structured,
  historical data and analytics
• Rigid, predefined schema for clean reporting
• High performance for complex SQL queries
• Examples Amazon Redshift, Snowflake, Google
  BigQuery

3
What is a Data Lakehouse?

• The Data Lakehouse combines flexibility with
  performance
• Supports structured and unstructured data
• Stores raw and processed data in one platform
• Ideal for machine learning and advanced analytics
• Examples Databricks, Delta Lake, Apache Hudi

4
Spiral Mantra Your Data Engineering Partner

• We specialize in modern data architectures
• Cloud Migration Strategies
• Advanced Analytics Consulting
• End-to-End Data Engineering Solutions

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