Here’s the difference between Google BigQuery and Data Channel. 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.
DataChannel is a completely self-serve no-code SaaS platform used for Data Aggregation, Analytics, and Visualization. It can be used to quickly aggregate and move all the companies data from any source be it a cloud-based SaaS application or an On-premise database to a Data warehouse of your choice.
Overview | ||
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Categories | Data Warehouses | ETL Tools |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | SMBs, Mid-size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Contact Sales |
Location | US | Gurgaon |
Companies using it | ||
Contact info |