Elasticsearch vs OpenSearch: Enterprise Search Comparison 2026

In 2026, both Elasticsearch and OpenSearch are viable enterprise search solutions. Elasticsearch is the market leader with a mature ecosystem and extensive support, while OpenSearch offers a cost-effective open-source alternative with growing community support.

Both platforms provide role-based access control and field-level security. However, Elasticsearch has a slight edge in machine learning capabilities, including anomaly detection, forecasting, and outlier detection. OpenSearch has limited ML capabilities.

When it comes to scalability, Elasticsearch has been tested at petabyte scale, while OpenSearch has proven production deployments at 500TB+. Cost-wise, OpenSearch on AWS can be more economical for self-hosted infrastructures, especially with existing AWS resources. Ingestion costs for Elasticsearch are approximately $3,690/month, while OpenSearch on AWS would cost around $6,000/month for the same volume.

Migration between the two platforms is feasible due to compatible indices and snapshot/restore capabilities. However, 95% query compatibility may require some adaptation, particularly for plugins and Kibana dashboards.

In terms of production recommendations, Elasticsearch is ideal for commercial search products, complex ML requirements, and when budget is available. OpenSearch is a better fit for cost-conscious self-hosting, building on AWS infrastructure, simpler search use cases, and open-source requirements.

Ultimately, the choice between Elasticsearch and OpenSearch in 2026 should be based on business needs, such as the search product model (SaaS vs self-hosted), budget constraints, team expertise, and infrastructure choices, particularly if AWS services are involved.