Compare - Faust VS AWS Kinesis
Here’s the difference between Faust and AWS Kinesis. The comparison is based on pricing, deployment, business model, and other important factors.
About Faust
Faust is a stream processing library, porting the ideas from Kafka Streams to Python. It is used at Robinhood to build high performance distributed systems and real-time data pipelines that process billions of events every day. Faust provides both stream processing and event processing, sharing similarity with tools such as Kafka Streams, Apache Spark/Storm/Samza/Flink,
About AWS Kinesis
Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Streaming |
| Stage | undefined | Late Stage |
| Target Segment | Enterprise, Mid size | |
| Deployment | SaaS | |
| Business Model | null | Commercial |
| Pricing | Contact Sales | |
| Location | null | US |
| Companies using it | ||
| Contact info |
Add to compare
