Amazon Kinesis Data Firehose vs. IBM StreamSets
A side-by-side comparison based on G2 review data.
| Metric | Amazon Kinesis Data Firehose | IBM StreamSets |
|---|---|---|
| Overall rating | 4.2 | 4.0 |
| Review count | 25 | 115 |
| Ease of use | 8.7 | 8.6 |
| Ease of setup | 8.8 | 8.3 |
| Quality of support | 8.6 | 8.3 |
| Meets requirements | 8.8 | 8.4 |
| NPS | 38.095238 | 29.20354 |
| Small Business | 20.0% | 23.7% |
| Mid-Market | 44.0% | 33.3% |
| Enterprise | 36.0% | 43.0% |
| Total page views | 66 | 297 |
| Total LLM citations | 188 | 1,104 |
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.
IBM StreamSets
IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization.
- Ease of Use
- User Interface
- Data Pipelining
- Data Management
- Integrations
- Implementation Ease