Compare - Great Expectations VS Google BigQuery

Here’s the difference between Great Expectations and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.

About Great Expectations

Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.

About Google BigQuery

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.

Comparison Table

Overview
CategoriesData Quality MonitoringData Warehouses
StageEarly StageLate Stage
Target SegmentMid sizeEnterprise, Mid size
DeploymentOn PremSaaS
Business ModelOpen SourceCommercial
PricingFreemiumContact Sales
LocationCalifornia, USUS
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