Cribl vs. Amazon Kinesis Data Firehose
A side-by-side comparison based on G2 review data.
| Metric | Cribl | Amazon Kinesis Data Firehose |
|---|---|---|
| Overall rating | 4.6 | 4.2 |
| Review count | 166 | 25 |
| Ease of use | 8.7 | 8.7 |
| Ease of setup | 8.5 | 8.8 |
| Quality of support | 9.0 | 8.6 |
| Meets requirements | 8.9 | 8.8 |
| NPS | 68.75 | 38.095238 |
| Small Business | 27.7% | 20.0% |
| Mid-Market | 15.7% | 44.0% |
| Enterprise | 56.6% | 36.0% |
| Total page views | 573 | 66 |
| Total LLM citations | 79 | 188 |
Cribl
Cribl is the AI Platform for Telemetry, giving organizations a flexible way to collect, process, route, store, search, and analyze the logs, metrics, traces, events, and other machine data generated across modern IT and security environments. Built for the volume, variety, and changing value of telemetry, Cribl helps teams make better use of the data customers already have without forcing them into a single vendor, destination, data format, or architecture.
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.