Compare - AWS Kinesis VS Streamlit
Here’s the difference between AWS Kinesis and Streamlit. The comparison is based on pricing, deployment, business model, and other important factors.
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.
About Streamlit
The fastest way to build and deploy data apps. Streamlit is the first app framework built specifically for Machine Learning and Data Science teams.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Apps |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid size, Enterprise |
| Deployment | SaaS | Open Source |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Free Trial |
| Location | US | San Francisco, California, United States |
| Companies using it | ||
| Contact info |
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