OpenSearch
Definition
An open-source search and analytics engine used for full-text search, log analysis, and real-time application monitoring.
Use Cases
- Amazon: Centralized log analytics and near real-time troubleshooting for distributed services — Teams index application logs and operational events into OpenSearch clusters and query them via dashboards to correlate errors, latency spikes, and deployment changes across services. (Faster incident investigation and reduced mean time to resolution (MTTR) by enabling engineers to search and visualize large volumes of logs quickly.)
- Netflix: Observability and log search across microservices — Engineers aggregate logs and metrics into search/analytics backends and use dashboards and queries to investigate production issues and performance regressions across many services. (Improved operational visibility and quicker root-cause analysis during outages and performance incidents.)
- Uber: Search and analytics over high-volume operational data for monitoring and debugging — Operational events and logs are indexed into a search and analytics system and queried to detect anomalies, investigate incidents, and support on-call workflows. (More effective on-call operations through faster querying and correlation of events across large-scale systems.)
Provider Equivalents
- AWS: Amazon OpenSearch Service
- Azure: Azure AI Search
- GCP: Vertex AI Search
- OCI: OCI OpenSearch
Frequently Asked Questions
- What's the difference between OpenSearch and Elasticsearch?
- OpenSearch is an open-source search and analytics engine that began as a fork of Elasticsearch and Kibana. Both are used for full-text search and log analytics, but they are different projects with different release cycles, features, and licensing histories. In practice, you choose based on ecosystem fit, managed-service availability, and which features/plugins you need.
- When should I use OpenSearch?
- Use OpenSearch when you need fast full-text search, filtering, and aggregations over large datasets—common for log analytics, application monitoring, security event analysis (SIEM-style), and search features in apps (product search, document search). It’s a good fit when you need near real-time indexing and interactive queries, plus dashboards for exploration.
- How much does OpenSearch cost?
- If you self-manage OpenSearch, the software is free but you pay for infrastructure (compute, storage, networking), operations time, backups, and scaling. Managed services (like Amazon OpenSearch Service or OCI OpenSearch) typically charge based on instance/node type and count, storage (EBS or local), data transfer, and optional features (snapshots, multi-AZ/high availability). Costs rise with higher ingest rates, longer retention, more replicas, and heavier query/dashboard usage.
Category: data
Difficulty: intermediate
Related Terms
See Also