As of 26 October 2026, a broad public-web scan found exactly two end-user organizations explicitly tied to the specifically branded Splunk Machine Data Lake, documented by two independent sources dated May–June 2026. Generic Splunk customers, Federated Search–only users, and vendors or technology partners are excluded. Public named-customer disclosure for this product is sparse; this is the complete documented set found, not a complete customer roster.
Existing Splunk customer with the deployment already implemented (described as having achieved results)
Kept long-tail data with low signal value on a data lake, using Splunk's data management capabilities, federated analytics, and the Machine Data Lake to apply tiered storage based on signal value while supporting AI-first use cases
Close to a 30% cost reduction while driving AI-first use cases
Source: tfir.io · 2026-06-17
In production for 4 months (results reported after 4 months in production)
Service- and correlation-oriented monitoring solution built on Splunk + ITSI, with automatic monitoring configuration based on CMDB information (contextualization), automatic incident documentation, and auto-resolution of simple incidents
CMDB accuracy and completeness >99% across more than 27,000 network devices; 92% reduction in the number of incidents without loss of information; better resource allocation; better ticket handling (quality and documentation); fully automated next-day integration (automation/backup/monitoring)
Source: cisco.com · 2026-05-26
Read the outcomes carefully: both figures come from broader deployments in which Machine Data Lake is one layer. Autodesk’s near-30% cost reduction reflects tiered storage plus data management and federated analytics; L’Oréal’s >99% CMDB accuracy across 27,000+ devices and 92% incident reduction come from a NOC architecture combining Splunk Platform (Machine Data Lake) with ITSI and automation. Neither metric is attributable to the storage layer alone.
| Company | Deployment status | Documented outcomes | Source | Date |
|---|---|---|---|---|
| Autodesk | Existing Splunk customer with the deployment already implemented (described as having achieved results) | Close to a 30% cost reduction while driving AI-first use cases | Federated Analytics and AI Agent Governance | Cisco Splunk tfir.io | 2026-06-17 |
| L'Oréal | In production for 4 months (results reported after 4 months in production) | CMDB accuracy and completeness >99% across more than 27,000 network devices; 92% reduction in the number of incidents without loss of information; better resource allocation; better ticket handling (quality and documentation); fully automated next-day integration (automation/backup/monitoring) | Modernisez votre NOC avec Splunk et Cisco cisco.com | 2026-05-26 |
Method: broad public-web scan completed 2026-10-26 for end-user organizations explicitly linked to the branded Splunk Machine Data Lake. 2 documented companies across 2 independent source hosts; no single URL backs more than 50% of rows (max 1 row per URL); source dates span 2026-05-26 to 2026-06-17. Outcome figures are as reported by the sources and reflect whole deployments, not the storage layer alone. Full documented-use text appears in the cards above and was trimmed from the table for space.