Observability and security costs are rising faster than most organizations expect.
As data volumes grow and environments become more complex, many teams struggle with unpredictable pricing, fragmented tools, and escalating total cost of ownership. Legacy architectures and ingestion-based pricing models often force organizations to limit visibility or absorb rapidly increasing expenses.
This whitepaper from Elastic examines how organizations reduce observability and security costs by migrating from Splunk to Elastic. It explains how a unified data platform, simplified pricing, and modern architecture help teams gain full visibility while controlling spend.
Drawing on customer migration experiences, the paper outlines how Elastic consolidates logs, metrics, traces, and security data into a single, scalable data lake. This approach eliminates the need for multiple tools, reduces infrastructure overhead, and improves operational efficiency.
You will learn how:
- Fragmented observability and security tools drive unpredictable costs
- Elastic unifies observability and security with simple, resource-based pricing
- AI and machine learning improve productivity without additional licensing costs
- Modern data tiers enable fast search without expensive rehydration
- Customers migrating from Splunk achieve significant total cost of ownership reductions
The whitepaper also highlights real-world customer outcomes. Organizations across telecommunications, financial services, and data management reported cost reductions ranging from 30 to 50 percent, faster incident resolution, and millions of dollars in annual savings after consolidating on Elastic.
This whitepaper is designed for IT leaders, security teams, observability architects, and decision-makers evaluating how to modernize analytics platforms while reducing operational and licensing costs.
Download the whitepaper from Elastic to understand how migrating from Splunk to Elastic can lower costs, simplify operations, and deliver scalable observability and security at enterprise scale.
