During testing, Elastic outperformed Splunk across pricing, ingest capabilities, and query speed.
The United States-based Fortune 500 company produces commercial and consumer products and provides engineering services and aerospace systems.
The conglomerate was looking to increase cost efficiency, lower risk, and increase customer satisfaction with their revenue-generating IoT platform. The company is harnessing Elastic Observability for log analytics, metrics, uptime, APM while using features like Canvas and Kibana Lens to observe its IoT platform of Internet-connected products for buildings, airplanes, freight trucks, factories, and more.
- Faster growth and better customer service. With Elastic, the company has onboarded more than 30 IoT applications and increased their ability to meet contracted uptime SLAs for their customers.
- Increasing capacity and insight. With Splunk's pricing model preventing the company from realizing goals no longer a concern, the conglomerate is planning a 10x increase in the amount of data ingested from their IoT application fleet, giving them more insights into their systems than ever before.
- Creating new monetized offerings. The switch from Splunk to Elastic paved the way for the company to move beyond simply providing an internal logging service and into a brand new monetized way of monitoring the industrial equipment they sell externally.
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