Sabesp Transforms Water Utility Operations with Lakehouse
Sabesp· BrazilUnity Catalog · Databricks Asset Bundles · BDC Connector +4
Sabesp, Brazil's largest water and sanitation utility serving around 30 million people across 376 municipalities, modernized its legacy Oracle Exadata data warehouse by adopting Databricks, enabling a Data Mesh architecture across more than 23 business domains with Unity Catalog providing centralized governance and Databricks Asset Bundles standardizing CI/CD. Databricks' BDC Connector supports large-scale SAP data ingestion, while Databricks Genie and AI/BI Dashboards let business analysts and operational managers query data in natural-language Portuguese without SQL expertise. Foundation Model APIs give teams access to large language models for AI applications including AI-powered customer service and fraud detection. Sabesp reduced data product delivery cycles from months to weeks through domain-owned data products.
Overview
Sabesp, Brazil's largest water and sanitation utility serving around 30 million people across 376 municipalities, modernized its legacy Oracle Exadata data warehouse by adopting Databricks, enabling a Data Mesh architecture across more than 23 business domains with Unity Catalog providing centralized governance and Databricks Asset Bundles standardizing CI/CD. Databricks' BDC Connector supports large-scale SAP data ingestion, while Databricks Genie and AI/BI Dashboards let business analysts and operational managers query data in natural-language Portuguese without SQL expertise. Foundation Model APIs give teams access to large language models for AI applications including AI-powered customer service and fraud detection. Sabesp reduced data product delivery cycles from months to weeks through domain-owned data products.
This entry has 12 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
Infrastructure costs continued to rise, data remained difficult to access across business functions, and complex ETL processes slowed the delivery of new use cases. At the same time, the architecture was not designed to support modern AI, machine learning, or real-time analytics workloads.
The solution
Reported business value
Data product delivery cycles were reduced from months to weeks through Data Mesh ownership and standardized CI/CD, with 23+ business domains now independently managing and delivering data products, and improved compliance and data security across the enterprise through centralized governance and fine-grained access controls.
Sources
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