Here’s the difference between AWS Kinesis and GoodData. The comparison is based on pricing, deployment, business model, and other important factors.
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.
GoodData is a multi-tenant, composable data and analytics platform that can be run in a public or private cloud, allowing you to build rich analytics for your end users (e.g., employees, customers, or business partners). GoodData provides self-service analytics, low-code/no-code interfaces, embeddable data visualization, and application integration. The platform also offers a robust end-to-end pipeline, including data ingestion, preparation, and transformations.
Overview | ||
---|---|---|
Categories | Data Streaming | Business Intelligence (BI), Metrics Store |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Freemium |
Location | US | San Francisco, U.S |
Companies using it | ||
Contact info |