Here’s the difference between Mozart Data and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
Mozart Data is the fastest way to set up scalable, reliable data infrastructure that doesn’t need to be maintained by you. Instead of piecing multiple tools together, get everything you need to set up a modern data stack (including ETL, a Snowflake data warehouse, and data transformation tools) in an hour, get visibility into your data pipelines, and ensure your data is reliable. Spend less time and money on your data infrastructure, reduce your time to insight by 76%, and create a data-driven culture from the start.
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.
Overview | ||
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Categories | Managed Data Stack | Data Warehouses |
Stage | Early Stage | Late Stage |
Target Segment | SMBs, Mid Size | Enterprise, Mid size |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Contact Sales |
Location | California, US | US |
Companies using it | ||
Contact info |