Here’s the difference between Rivery.io and Apache Hudi. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing.
|Categories||Data Modelling and Transformation, ETL Tools, Workflow Orchestration||Data Lakes|
|Stage||Mid Stage||Early Stage|
|Target Segment||Mid size, Enterprise||Mid Size, Enterprise|
|Business Model||Commercial||Open Source|
|Pricing||Free trial, Contact Sales||Freemium|
|Location||New York, US||California, US|
|Companies using it|