Here’s the difference between Preset and Onehouse. 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.
Onehouse delivers a new bedrock for your data, through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running.
Overview | ||
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Categories | Business Intelligence (BI) | Data Lakes |
Stage | Early Stage | Early Stage |
Target Segment | Mid size | SMBs, Mid-size, Enterprise |
Deployment | SaaS | Open source |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Conatct Sales |
Location | California, US | Menlo Park, California |
Companies using it | ||
Contact info |