Here’s the difference between Preset and Google BigQuery. 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.
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.
|Categories||Business Intelligence (BI)||Data Warehouses|
|Stage||Early Stage||Late Stage|
|Target Segment||Mid size||Enterprise, Mid size|
|Pricing||Contact Sales||Contact Sales|
|Companies using it|