Business Intelligence with the VAST AI OS
Evodian moves BIaaS in-house with VAST, cutting data latency from 12 hours to real-time at over 1 million rows a second.
Industry
Use Case

The ability to turn raw data into immediate action is the ultimate competitive advantage. As a managed service provider specializing in data management, analytics, and intelligent automation, Evodian integrates data from diverse business areas such as accounting, logistics, and retail systems to unlock these actionable insights.
Evodian built a modern data lakehouse on the VAST AI OS, moving from traditional ETL to an agile ELT workflow. By integrating dbt, Trino, and ThoughtSpot directly with the VAST DataBase and DataStore, they created a seamless pipeline that runs completely within their own private cloud.
Evodian boosted data ingestion from 10,000 to over 1 million rows a second enabled by VAST’s DASE architecture. They slashed data latency from 12 hours to near real-time, enabling active operational BI for users, while eliminating unpredictable cloud costs by keeping data in their private cloud.
Ingestion speed: Scaled from 10,000 to over 1 million rows per second.
Data latency: Reduced dramatically from 12 hours to near real-time.
Cloud governance: Unpredictable ingress and egress costs eliminated.