Here’s the difference between Apache Spark and Astrato. 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.
Astrato is a flexible data layer designed to enable everyone, everywhere to make live data decisions. With direct query access to Snowflake’s data cloud, Astrato unlocks insights across your organisation and provides a creator-centric layer for your data visualisation.
| Overview | ||
|---|---|---|
| Categories | Data Modelling and Transformation | Business Intelligence (BI) |
| 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 | Freemium, Contact Sales |
| Location | US | London |
| Companies using it | ||
| Contact info |