Here’s the difference between Dagster and Google BigQuery. The comparison is based on pricing, deployment, business model, and other important factors.
Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.
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 | Workflow Orchestration | Data Warehouses |
Stage | Early Stage | Late Stage |
Target Segment | Mid size, Enterprise | Enterprise, Mid size |
Deployment | On PremSaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium, Contact Sales | Contact Sales |
Location | United States | US |
Companies using it | ||
Contact info |