Here’s the difference between Snowflake and Onehouse. The comparison is based on pricing, deployment, business model, and other important factors.
Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.
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 Warehouses | Data Lakes |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, 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 |