G2 Vendor Directory

Amazon Kinesis Data Firehose vs. Google Cloud Dataflow

A side-by-side comparison based on G2 review data.

MetricAmazon Kinesis Data Firehose

by Amazon Web Services (AWS)

Google Cloud Dataflow

by Google

Overall rating4.24.2
Review count2544
Ease of use8.78.3
Ease of setup8.88.2
Quality of support8.68.6
Meets requirements8.89.1
NPS38.09523842.857143
Small Business20.0%36.4%
Mid-Market44.0%31.8%
Enterprise36.0%31.8%
Total page views66219
Total LLM citations188272

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.

Pros

    Google Cloud Dataflow

    Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed. And with its serverless approach to resource provisioning and management, you have access to virtually limitless capacity to solve your biggest data processing challenges, while paying only for what you use.

    Pros

    • Features
    • Real-time Analytics
    • Insights
    • Real-Time Processing
    • Easy Management
    • Speed