Here’s the difference between Stitch and Onehouse. The comparison is based on pricing, deployment, business model, and other important factors.
Stitch provides extract, transform and Load (ETL) as a service for developers to securely manage the data preparation process. It allows users to configure their own data pipeline in a way that balances replication frequency and data selection by choosing the tables, fields, collections, and endpoints required in the warehouse. The product offers replicate API, monitoring & alerting during ETL process, security, compliance, cross-platform integration, and private infrastructure.
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 | ETL Tools | Data Lakes |
Stage | Mid Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMBs, Mid-size, Enterprise |
Deployment | SaaS | Open source |
Business Model | Open Core | Commercial |
Pricing | Contact Sales | Conatct Sales |
Location | Philadelphia Us | Menlo Park, California |
Companies using it | ||
Contact info |