Here’s the difference between dbt and Rivery.io. The comparison is based on pricing, deployment, business model, and other important factors.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
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.
|Categories||Data Modelling and Transformation||Data Modelling and Transformation, ETL Tools, Workflow Orchestration|
|Stage||Early Stage||Mid Stage|
|Target Segment||Enterprise, Mid size||Mid size, Enterprise|
|Business Model||Open Source||Commercial|
|Pricing||Free trial, Contact Sales||Free trial, Contact Sales|
|Location||US||New York, US|
|Companies using it|