Elastic Stack vs. Amazon Kinesis Data Firehose
A side-by-side comparison based on G2 review data.
| Metric | Elastic Stack | Amazon Kinesis Data Firehose |
|---|---|---|
| Overall rating | 4.5 | 4.2 |
| Review count | 109 | 25 |
| Ease of use | 8.3 | 8.7 |
| Ease of setup | 8.0 | 8.8 |
| Quality of support | 8.4 | 8.6 |
| Meets requirements | 9.1 | 8.8 |
| NPS | 69.52381 | 38.095238 |
| Small Business | 22.2% | 20.0% |
| Mid-Market | 43.5% | 44.0% |
| Enterprise | 34.3% | 36.0% |
| Total page views | 505 | 66 |
| Total LLM citations | 1,347 | 188 |
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 Firehose
Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration.