Here’s the difference between Apache Spark and Datalogz. 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.
A data collaboration tool that allows users to centralize data dictionaries, ask questions regarding essential data knowledge, clarify user hierarchy, and share analytics.
| Overview | ||
|---|---|---|
| Categories | Data Modelling and Transformation | Data Discovery |
| Stage | Late Stage | Early Stage |
| Target Segment | Mid Size, Enterprise | Mid- size, Enterprise |
| Deployment | On Prem | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Freemium | Contact sales |
| Location | US | New York City |
| Companies using it | ||
| Contact info |