Amazon Neptune vs. Elastic Stack
A side-by-side comparison based on G2 review data.
| Metric | Amazon Neptune | Elastic Stack |
|---|---|---|
| Overall rating | 4.3 | 4.5 |
| Review count | 31 | 109 |
| Ease of use | 9.2 | 8.3 |
| Ease of setup | 8.9 | 8.0 |
| Quality of support | 9.4 | 8.4 |
| Meets requirements | 9.1 | 9.1 |
| NPS | 48.387097 | 69.52381 |
| Small Business | 56.7% | 22.2% |
| Mid-Market | 16.7% | 43.5% |
| Enterprise | 26.7% | 34.3% |
| Total page views | 157 | 505 |
| Total LLM citations | 502 | 1,347 |
Amazon Neptune
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets.
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