Compare - AWS Kinesis VS Starburst
Here’s the difference between AWS Kinesis and Starburst. 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 Starburst
For data-driven companies, Starburst offers a full-featured data lake analytics platform, built on open source Trino. Our platform includes the capabilities needed to discover, organize, and consume data without the need for time-consuming and costly migrations. We believe the lake should be the center of gravity, but support accessing data outside the lake when needed. With Starburst, teams can access more complete data, lower the cost of infrastructure, use the tools best suited to their specific needs, and avoid vendor lock-in. Trusted by companies like Comcast, Grubhub, and Priceline, Starburst helps companies make better decisions faster on all their data.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Lakes, Data Mesh |
| Stage | Late Stage | Mid Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaSOn Prem |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Contact Sales |
| Location | US | US |
| Companies using it | ||
| Contact info |
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