Compare - AWS Kinesis VS Apache Hudi
Here’s the difference between AWS Kinesis and Apache Hudi. 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 Apache Hudi
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Lakes |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
| Deployment | SaaS | Open Source |
| Business Model | Commercial | Open Source |
| Pricing | Contact Sales | Freemium |
| Location | US | California, US |
| Companies using it | ||
| Contact info |
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