Elastic Security
Food & Beverage/Hospitality

Global Food and Beverage Company Switches from Splunk to Elastic for Security, Observability

Better anomaly detection to reduce risk

Built-in Elastic machine learning features are accurately capturing anomalies across the network and reducing and minimizing security threats.

Reduced MTTR for better performance

Faster Elastic query speeds than with Splunk reduces investigation times while boosting security and the health and performance of consumer-facing digital applications.

Lowered costs with increased knowledge

With Elastic, the company is now more cost-efficient and not license-constrained when it comes to the data needed to observe 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, it's essential that this company's eCommerce platform and robotic automation systems remain secure with as much uptime as possible.

  • Company is now able to meet performance SLAs using Elastic 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, APM while utilizing features like security, and alerting.
  • Elastic machine learning is lowering risk of security threats by detecting more and accurate anomalies than could Splunk.
  • 600 GB daily ingest rate with sub-second response times with a 60-day retention period on their platform. The company is logging more data sources with Elastic, at a lower cost than with Splunk, resulting in greater observability and security.