Compare - AWS Kinesis VS Lightdash
Here’s the difference between AWS Kinesis and Lightdash. 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 Lightdash
Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Metrics Store, Business Intelligence (BI) |
| Stage | Late Stage | Early Stage |
| Target Segment | Enterprise, Mid size | Mid size, SMBs |
| Deployment | SaaS | Open source |
| Business Model | Commercial | Open Source |
| Pricing | Contact Sales | Freemium |
| Location | US | UK |
| Companies using it | ||
| Contact info |
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