Here’s the difference between Apache Spark and Pace. 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.
Pace integrates natively with your business's most important data sources, unify and transform this disparate data into a standardized format that makes intuitive sense for B2B sellers, and that can be easily synced and used by CRMs. With Pace, you can see which insights drive positive sales behaviors and, by extension, the outcomes you care about. So, you can build a set of repeatable sales motions
Overview | ||
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Categories | Data Modelling and Transformation | PLG CRM |
Stage | Late Stage | Early Stage |
Target Segment | Mid Size, Enterprise | SMB's, Mid- size |
Deployment | On Prem | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Contact Sales |
Location | US | New York, NY |
Companies using it | ||
Contact info |