Compare - AWS Kinesis VS Great Expectations
Here’s the difference between AWS Kinesis and Great Expectations. 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 Great Expectations
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Quality Monitoring |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid size |
| Deployment | SaaS | On Prem |
| Business Model | Commercial | Open Source |
| Pricing | Contact Sales | Freemium |
| Location | US | California, US |
| Companies using it | ||
| Contact info |
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