Here’s the difference between Apache Spark and Data Channel. 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.
DataChannel is a completely self-serve no-code SaaS platform used for Data Aggregation, Analytics, and Visualization. It can be used to quickly aggregate and move all the companies data from any source be it a cloud-based SaaS application or an On-premise database to a Data warehouse of your choice.
Overview | ||
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Categories | Data Modelling and Transformation | ETL Tools |
Stage | Late Stage | Early Stage |
Target Segment | Mid Size, Enterprise | SMBs, Mid-size, Enterprise |
Deployment | On Prem | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Contact Sales |
Location | US | Gurgaon |
Companies using it | ||
Contact info |