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
CategoriesData StreamingData Apps
StageLate StageEarly Stage
Target SegmentEnterprise, Mid sizeMid size, Enterprise
DeploymentSaaSOpen Source
Business ModelCommercialCommercial
PricingContact SalesFree Trial
LocationUSSan Francisco, California, United States
Companies using it
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