# Grafana Loki vs OpenSearch: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Grafana Loki wins for 10x lower storage cost, Prometheus/Grafana ecosystem alignment, and object-storage native architecture across 29.0k+ GitHub stars (98.9), while OpenSearch wins for arbitrary full-text inverted queries, instantaneous needle-in-haystack keyword search, and rich faceted analytics across 13.9k+ GitHub stars (97.6).

- **Category**: Metadata-Only S3 Log Aggregation vs Distributed Full-Text Inverted Index Shootout
- **Canonical URL**: https://exactbaseline.com/vs/loki-vs-opensearch
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## Grafana Loki Key Advantages
- 29,048+ GitHub stars as the standard cloud-native log aggregation system indexing only stream metadata
- Stores raw compressed log chunks directly in S3 or MinIO object storage to eliminate expensive block storage costs
- Cuts commercial Datadog and Splunk log invoices by 89.5% ($250/mo self-hosted vs $2,400/mo SaaS)

## OpenSearch Key Advantages
- 13,891+ GitHub stars as the official Apache 2.0 open-source distributed search and analytics suite
- Full-text inverted Lucene indexing delivers sub-second queries across unstructured application messages without label constraints
- Integrated security analytics, alerting, and OpenSearch Dashboards for deep SIEM and forensic investigation