Here’s the difference between Lightdash and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.
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 | Metrics Store, Business Intelligence (BI) | Data Warehouses |
Stage | Early Stage | Late Stage |
Target Segment | Mid size, SMBs | Enterprise, Mid size |
Deployment | Open source | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Contact Sales |
Location | UK | US |
Companies using it | ||
Contact info |