OpenSearch — Community-Driven Search and Analytics Suite

What it is

OpenSearch is an open-source search and analytics suite forked from Elasticsearch 7.10. It provides full-text search, log analytics, observability dashboards, and security analytics. The project is maintained by AWS and the open-source community under the Apache-2.0 license with no feature gating.

OpenSearch targets engineering teams who need a search engine, log aggregator, or observability platform without vendor lock-in or license restrictions. It is a direct alternative to Elasticsearch for teams concerned about Elastic's licensing changes.

How it saves time or tokens

OpenSearch is a drop-in replacement for Elasticsearch 7.10 workloads. Teams migrating from Elasticsearch can reuse existing indices, queries, and client libraries with minimal changes. The migration path avoids rewriting application code.

OpenSearch Dashboards (the Kibana fork) provides built-in visualization, alerting, and anomaly detection. Instead of assembling separate tools for search, logging, and monitoring, OpenSearch consolidates them into one platform.

How to use

1. Run OpenSearch with Docker:

docker run -d --name opensearch \
  -p 9200:9200 -p 9600:9600 \
  -e 'discovery.type=single-node' \
  -e 'DISABLE_SECURITY_PLUGIN=true' \
  opensearchproject/opensearch:latest

1. Index a document:

curl -X POST 'localhost:9200/products/_doc' \
  -H 'Content-Type: application/json' \
  -d '{"name": "Widget", "price": 29.99, "tags": ["electronics"]}'

1. Search:

curl 'localhost:9200/products/_search?q=widget'

Example

Full-text search with filters and aggregations:

curl -X POST 'localhost:9200/products/_search' \
  -H 'Content-Type: application/json' \
  -d '{
    "query": {
      "bool": {
        "must": { "match": { "name": "widget" } },
        "filter": { "range": { "price": { "lte": 50 } } }
      }
    },
    "aggs": {
      "avg_price": { "avg": { "field": "price" } },
      "by_tag": { "terms": { "field": "tags.keyword" } }
    }
  }'

This finds products matching 'widget' under $50, then aggregates average price and tag distribution.

Related on TokRepo

• Database AI tools -- search engines and data stores
• Monitoring tools -- observability and log analytics

Common pitfalls

• OpenSearch 2.x diverges from Elasticsearch's API in some areas. Client libraries that target Elasticsearch 8.x may not work. Use the official OpenSearch client libraries for full compatibility.
• Running OpenSearch in production requires tuning JVM heap size, shard count, and replica settings. The defaults work for development but are not suitable for production workloads.
• The security plugin is enabled by default and requires TLS certificates. For local development, disable it with the environment variable shown above. Never disable security in production.