Here’s the difference between Apache Spark and Onehouse. 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.
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 | ||
---|---|---|
Categories | Data Modelling and Transformation | Data Lakes |
Stage | Late Stage | Early Stage |
Target Segment | Mid Size, Enterprise | SMBs, Mid-size, Enterprise |
Deployment | On Prem | Open source |
Business Model | Open Source | Commercial |
Pricing | Freemium | Conatct Sales |
Location | US | Menlo Park, California |
Companies using it | ||
Contact info |