Compare - AWS Kinesis VS Count

Here’s the difference between AWS Kinesis and Count. 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 Count

Count is a collaborative data whiteboard. It combines all the power of your SQL IDE, Python notebook, and BI tool - in a reactive, real-time canvas. Instead of working one query at a time in an IDE, the canvas lets you lay out your entire thought process in one place, and explain not just the answer but how you got there. Analyze data with SQL, Python, or drag-and-drop query builders. Import and export dbt models. Run queries against your database, or locally in the browser using DuckDB and Python. Share canvases to get help from a teammate or feedback from stakeholders. Turn any canvas into a dashboard, report, interactive app, or even a slide deck.

Comparison Table

Overview
CategoriesData StreamingData Workspace/ Collaboration
StageLate StageMid Stage
Target SegmentEnterprise, Mid sizeMid Size, Enterprise
DeploymentSaaSSaaS
Business ModelCommercialCommercial
PricingContact SalesFreemium, Contact Sales
LocationUSLondon, England
Companies using it
Coca Cola logoNetflix logoOneFootball logoUproad logovmt pvt ltd logoCraft logoDashlane logonashtech global logodadosfera logoTrackingplan logo
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