Here’s the difference between Brooklin and AWS Kinesis. The comparison is based on pricing, deployment, business model, and other important factors.
Brooklin is a distributed system intended for streaming data between various heterogeneous source and destination systems with high reliability and throughput at scale. Designed for multitenancy, Brooklin can power hundreds of simultaneous data pipelines across different systems and can be easily extended to support new sources and destinations.
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.
Overview | ||
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Categories | Data Streaming | Data Streaming |
Stage | undefined | Late Stage |
Target Segment | Enterprise, Mid size | |
Deployment | SaaS | |
Business Model | null | Commercial |
Pricing | Contact Sales | |
Location | null | US |
Companies using it | ||
Contact info |