Here’s the difference between Upsolver and Rivery.io. The comparison is based on pricing, deployment, business model, and other important factors.
Upsolver is the only no-code data lake engineering platform. It empowers any SQL-savvy data practitioner to design and deliver big data projects on an AWS or Azure in days, not the months required by hand-coding and configuring Spark implementations. Upsolver is used by the world's most data-intensive organizations, including Sisense, ironSource, and AppsFlyer, for preparing petabyte-scale streaming datasets.
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 Modelling and Transformation, Data Lakes, Data Warehouses | Data Modelling and Transformation, ETL Tools, Workflow Orchestration |
Stage | Mid Stage | Mid Stage |
Target Segment | Mid Size, Enterprise | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free Trial, Contact Sales | Free trial, Contact Sales |
Location | California, US | New York, US |
Companies using it | ||
Contact info |