Compare - Confluent VS AWS Kinesis
Here’s the difference between Confluent and AWS Kinesis. The comparison is based on pricing, deployment, business model, and other important factors.
About Confluent
Confluent provides a real-time data stream platform on Apache Kafka. The platform offers an open-source technology that acts as a real-time, fault-tolerant, and highly scalable messaging system, enabling companies to move data from isolated systems into a real-time data pipeline where they can act on it. Audi, Tivo, and Euronext are some of its clients.
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.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Streaming | Data Streaming |
| Stage | Mid Stage | Late Stage |
| Target Segment | Enterprise, Mid size | Enterprise, Mid size |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Freemium | Contact Sales |
| Location | California, US | US |
| Companies using it | ||
| Contact info |
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