Food and Beverage/Hospitality

Global food and beverage company switches from Splunk to Elastic for security and observability

Better anomaly detection to reduce risk

Built-in Elastic machine learning features accurately capture anomalies across the network and reduce and minimize security threats.

Reduced MTTR for better performance

Faster than Splunk. Elastic query speeds reduce investigation times and boost the security, health, and performance of consumer-facing applications.

Lowered costs with increased knowledge

With Elastic, the company is more cost-efficient and not license-constrained when it comes to observing their security and application performance data.

Company Overview

This US-based company tailors and delivers popular foods and beverages across the globe.


Why Elastic instead of Splunk?

With divisions across the world and a growing demand for its products, this company's ecommerce platform and robotic automation systems must remain secure with as much uptime as possible.

  • Using Elastic, the company is now able to meet performance SLAs that could not be obtained with Splunk. To support the ecommerce platform and robotic automation, the conglomerate is embracing the Elastic Observability solution for log analytics, metrics, and APM, in addition to using features like security and alerting.
  • Elastic machine learning lowers risk of security threats by detecting more anomalies than Splunk.
  • 600 GB daily ingest rate with sub-second response times and a 60-day retention period on their platform. The company logs more data sources with Elastic, at a lower cost than with Splunk, resulting in greater observability and security.

Ready to start migrating from Splunk to the Elastic Stack? Learn more.