593% return on investment by migrating off OpenSearch for search and logging


When investing in technology, organizations should look for products and services that get them the best bang for their buck. So, who comes out on top when investing in search and logging solutions? Elasticsearch® surpasses OpenSearch in cost efficiency.

How? OpenSearch is a forked search project based on old versions (7.10) of Elasticsearch and Kibana®. Through comprehensive tests, TechTarget's Enterprise Strategy Group validated that Elasticsearch outperforms OpenSearch across key performance indicators and resource utilization. Based on this technical validation, Elastic® developed a complementary report to provide a framework for buyers to understand the financial value their organization can reap when migrating from Opensearch to Elasticsearch for search and logging.

Whether it is improving resource optimization, faster performance, IT efficiency, or license cost savings, the Elasticsearch Service Enterprise license tier has much more to offer than the OpenSearch Service.

Key results

The report examines how current OpenSearch customers can benefit from migrating to the Elasticsearch Service Enterprise tier on Elastic Cloud. Benefits within this report include hard benefits (outcomes that directly impact the bottom line, such as cost savings or cost avoidance) and soft benefits (outcomes that indirectly impact the bottom line, such as improved labor efficiency). 

Key results from this investment include:

  • 593% ROI for migrating current deployment, including hard and soft benefits

  • 145% ROI for migrating current deployment, including hard benefits only

  • $1.9 million+ in net hard and soft benefits by migrating to Elasticsearch

  • 7.8 work days saved per end-user employee per year from switching from OpenSearch to Elasticsearch


The organization has migrated to Elasticsearch Service Enterprise License Tier from OpenSearch Service for a critical logging use case that ingests 100GB daily. Initially, the organization leveraged OpenSearch Service with 7 days hot and 83 days ultrawarm. However, after migrating to Elasticsearch Service, the organization's data retention requirements are 7 days hot, 23 days cold, and 60 days in Elastic’s frozen storage tier.

All sizing and pricing for OpenSearch Service is based on the AWS OpenSearch Service calculator, and Elasticsearch Service Enterprise License Tier sizing and pricing have been built by Elastic internally.

Challenges of OpenSearch Service

Many customers have migrated away from OpenSearch to Elastic after experiencing common problems:

  • Performance, scalability, and stability challenges

  • Disjointed developer experience due to limited deployment options and connectors

  • Over-provisioned cloud infrastructure expenditure and inability to leverage the most optimized data tiering

  • Lack of expert implementation and meaningful support can drive down time to resolution

Key benefits of migrating from OpenSearch to Elasticsearch

The following quantified benefits showcase key value drivers for migrating from OpenSearch Service to Elasticsearch Service Enterprise License Tier. Benefits directly impact the composite organization's bottom line, such as cost savings and cost avoidance, or indirectly impact the bottom line, such as labor savings. 

  • Improved end user productivity due to increased performance of search technology: In a recent technical validation by TechTarget’s Enterprise Strategy Group, Elasticsearch outperforms OpenSearch across key performance areas, resulting in recovered labor time. 

  • Time-to-value of faster application delivery: The Forrester Total Economic Impact of Elastic Observability study revealed that organizations leveraging Elastic experience a 75% reduction in deployment time by year 3, enabling teams to reallocate resources towards the development of new revenue-generating products and services. 

  • Procurement and resource cost avoidance: OpenSearch Service requires significant effort in data pipeline engineering, while Elasticsearch Service Enterprise License Tiers streamlined this process through pre-built tools and extensive connector libraries, accelerating time to insight and diminishing labor costs linked to data pipeline engineering.

  • Cost savings from improved resource utilization: With out-of-the-box settings, Elasticsearch is more resource efficient and uses 37% less disk space than OpenSearch, allowing teams to store more data cost-efficiently. 

  • Reduce service costs with a feature-rich complete enterprise solution: The default features of OpenSearch Service falls short when compared to the capabilities of Elasticsearch Service. By migrating off of OpenSearch Service to Elasticsearch Service, solution owners can eliminate the costs of eight or more additional AWS services and any associated labor of those services.

The bottom line

When considering the right solution, it is important to understand the total cost of ownership of each solution to make a purchase decision that continues to drive value for your organization.

Elasticsearch is uniquely optimized for search, logging, observability, and security for better relevance, anomaly detection and resolution.

Learn more

Read the full study to get a deeper understanding of all the benefits of migrating from OpenSearch Service to Elasticsearch Service Enterprise License Tier.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.