Here’s the difference between Apache Spark and Selfr. 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.
Selfr is a low-code data platform that provides all the tools you need to go from your live data sources to interactive dashboards. It replaces stitching together a cloud data warehouse, an ELT solution, a data transformation solution, a scheduler, and a BI solution.
| Overview | ||
|---|---|---|
| Categories | Data Modelling and Transformation | Managed Data Stack |
| 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 | Contact Sales |
| Location | US | New York |
| Companies using it | ||
| Contact info |