Here’s the difference between Apache Spark and Rivery.io. The comparison is based on pricing, deployment, business model, and other important factors.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
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 Modelling and Transformation, ETL Tools, Workflow Orchestration |
Stage | Late Stage | Mid Stage |
Target Segment | Mid Size, Enterprise | Mid size, Enterprise |
Deployment | On Prem | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Free trial, Contact Sales |
Location | US | New York, US |
Companies using it | ||
Contact info |