Here’s the difference between Apache Spark and Quicktable. 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.
QuickTable empowers everyone to access, clean, analyze, transform, and model data with no code. It is is a modern data modeling and transformation tool on top of your existing data sources to let you work with data using a spreadsheet-like interface. It makes your data work easy.
Overview | ||
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Categories | Data Modelling and Transformation | Spreadsheet based BI |
Stage | Late Stage | Early Stage |
Target Segment | Mid Size, Enterprise | SMB's, Mid-Size, Enterprise |
Deployment | On Prem | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Free Trial, Contact Sales |
Location | US | Singapore |
Companies using it | ||
Contact info |