Here’s the difference between AWS Kinesis and Rivery.io. 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.
Rivery offers a cloud based data pipeline preparation tool. The platform can be used to collect data from various enterprise data sources such as Salesforce, Google Adwords, AppNexus, MySQL, OpenX, MongoDB, Oracle, Google Analytics. The platform can also collect streaming data, process the data, and persist into databases such as HDFS or Bigtable.
Overview | ||
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Categories | Data Streaming | Data Modelling and Transformation, ETL Tools, Workflow Orchestration |
Stage | Late Stage | Mid Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Free trial, Contact Sales |
Location | US | New York, US |
Companies using it | ||
Contact info |