Figures below are customer-reported. Organisations are described by sector; references are available on request under the customer's own terms.
A legally mandated CDR pipeline that a Hadoop distribution could not finish inside 24 hours. ELTMaestro processes it inside the window, and the annual platform cost fell from about $350K to about $52K including support.
Engines placed next to island data sources, controlled by one master in the mainland data centre, replaced a high-bandwidth link that cost about $200K a year.
Matched the extraction rate of an enterprise ETL suite whose licence in the required configuration exceeded $500K a year, at roughly $20K a year.
Vitals and lab results feed a model that recommends dosage to prescribers; the provider reports about 30% more efficiency and $350K a year saved after replacing a legacy ETL suite and its 30-engineer team.
ETL and feature engineering collapsed into one ELTMaestro instance, saving about $150K a year, with analysts rejecting about $1.7M of claims in a year.
An ML loan-risk classifier built on the platform processed application documents about 500% faster and replaced about $400K a year of ETL, ML and AI tooling. Mainframe feature requests pending for over a year shipped in 30 days.
All cost and performance figures are as reported by the customer, not independently audited.
