Here’s the difference between Redshift and Dagster. The comparison is based on pricing, deployment, business model, and other important factors.
Amazon Redshift is a fully managed petabyte scale data warehouse service. Redshift is designed for analytic workloads and connects to standard SQL based clients and business intelligence tools. Redshift delivers fast query and I/O performance for virtually any size dataset by using columnar storage technology and parallelizing and distributing queries across multiple nodes. Most common administrative tasks associated with provisioning, configuring, monitoring, backing up, and securing a data warehouse are automated.
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.
Overview | ||
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Categories | Data Warehouses | Workflow Orchestration |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise | Mid size, Enterprise |
Deployment | SaaS | On PremSaaS |
Business Model | Commercial | Open Source |
Pricing | Freemium | Freemium, Contact Sales |
Location | Seattle,WA, US | United States |
Companies using it | ||
Contact info |