Here’s the difference between Google BigQuery and Onehouse. The comparison is based on pricing, deployment, business model, and other important factors.
BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.
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.
|Categories||Data Warehouses||Data Lakes|
|Stage||Late Stage||Early Stage|
|Target Segment||Enterprise, Mid size||SMBs, Mid-size, Enterprise|
|Pricing||Contact Sales||Conatct Sales|
|Location||US||Menlo Park, California|
|Companies using it|