Here’s the difference between Preset and Apache Hudi. The comparison is based on pricing, deployment, business model, and other important factors.
Preset provides data analytics platform for teams. It is an open-source platform that allows users to analyze and provides actionable insights about the data. Its products include Superset that enables visualize data and build dashboards to interpret and show hidden patterns from the data. It enables users to share reports and insights with teams and explore data analytics solutions. It can be integrated with Amazon RedShift, Google BigQuery, Presto and Druid.
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.
Overview | ||
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Categories | Business Intelligence (BI) | Data Lakes |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | Mid Size, Enterprise |
Deployment | SaaS | Open Source |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium |
Location | California, US | California, US |
Companies using it | ||
Contact info |