Here’s the difference between Apache Hudi and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing.
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.
Overview | ||
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Categories | Data Lakes | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Mid Size, Enterprise | Mid Size, Enterprise |
Deployment | Open Source | On Prem |
Business Model | Open Source | Open Source |
Pricing | Freemium | Freemium |
Location | California, US | US |
Companies using it | ||
Contact info |