Amazon OpenSearch Service vs. Elastic Stack
A side-by-side comparison based on G2 review data.
| Metric | Amazon OpenSearch Service | Elastic Stack |
|---|---|---|
| Overall rating | 4.2 | 4.5 |
| Review count | 102 | 109 |
| Ease of use | 8.7 | 8.3 |
| Ease of setup | 8.3 | 8.0 |
| Quality of support | 8.4 | 8.4 |
| Meets requirements | 8.8 | 9.1 |
| NPS | 49.484536 | 69.52381 |
| Small Business | 30.7% | 22.2% |
| Mid-Market | 35.6% | 43.5% |
| Enterprise | 33.7% | 34.3% |
| Total page views | 181 | 505 |
| Total LLM citations | 937 | 1,347 |
Amazon OpenSearch Service
Amazon OpenSearch Service securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and website search. To view more pricing details, please visit https://aws.amazon.com/opensearch-service/pricing. To try Amazon OpenSearch Service free today, please visit: https://aws.amazon.com/free/.
Elastic Stack
The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data.
- Ease of Use
- Log Management
- Versatility
- Search Efficiency
- Flexibility
- Dashboard Usability