Stack Internal vs. OpenSearch
A side-by-side comparison based on G2 review data.
| Metric | Stack Internal | OpenSearch |
|---|---|---|
| Overall rating | 4.5 | 4.4 |
| Review count | 793 | 15 |
| Ease of use | 9.2 | 9.0 |
| Ease of setup | 9.2 | 8.5 |
| Quality of support | 9.0 | 8.2 |
| Meets requirements | 9.0 | 8.7 |
| NPS | 65.517241 | 60 |
| Small Business | 37.1% | 20.0% |
| Mid-Market | 46.2% | 40.0% |
| Enterprise | 16.7% | 40.0% |
| Total page views | 861 | 92 |
| Total LLM citations | 281 | 209 |
Stack Internal
Stack Internal is the enterprise knowledge intelligence layer that ingests, validates, and delivers trusted knowledge into the tools and workflows technologists rely on every day. Built for modern engineering teams, Stack Internal combines human insight and AI automation to keep enterprise knowledge accurate, accessible, and in flow—so answers surface where work happens and copilots perform with reliability.
- Ease of Use
- Knowledge Sharing
- Helpful
- Centralization
- Team Collaboration
- Search Functionality
OpenSearch
OpenSearch is a community-driven, open-source search and analytics suite designed for developers to ingest, search, visualize, and analyze data. It comprises a data store and search engine (OpenSearch), a visualization and user interface (OpenSearch Dashboards), and a server-side data collector (Data Prepper). Users can enhance OpenSearch's functionality with plugins that support search, analytics, observability, security, machine learning, and more.
- Ease of Use
- Filtering Options
- Integrations
- Results
- Helpful
- Features