Compare - AWS Kinesis VS Onehouse
Here’s the difference between AWS Kinesis and Onehouse. 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 Onehouse
Onehouse delivers a new bedrock for your data, through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Lakes |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | SMBs, Mid-size, Enterprise |
| Deployment | SaaS | Open source |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Conatct Sales |
| Location | US | Menlo Park, California |
| Companies using it | ||
| Contact info |
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