Elastic Stack vs. Amazon Kinesis Data Analytics
A side-by-side comparison based on G2 review data.
| Metric | Elastic Stack | Amazon Kinesis Data Analytics |
|---|---|---|
| Overall rating | 4.5 | 4.1 |
| Review count | 109 | 15 |
| Ease of use | 8.3 | 8.6 |
| Ease of setup | 8.0 | 8.0 |
| Quality of support | 8.4 | 8.1 |
| Meets requirements | 9.1 | 8.0 |
| NPS | 69.52381 | 42.857143 |
| Small Business | 22.2% | 26.7% |
| Mid-Market | 43.5% | 6.7% |
| Enterprise | 34.3% | 66.7% |
| Total page views | 505 | 27 |
| Total LLM citations | 1,347 | 13 |
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
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Kinesis Data Analytics reduces the complexity of building, managing, and integrating Apache Flink applications with other AWS services. Kinesis Data Analytics takes care of everything required to run streaming applications continuously, and scales automatically to match the volume and throughput of your incoming data.
- Integrations
- Analytics
- Security Protection
- Cost Saving
- Easy Integrations
- Cloud Services