Here’s the difference between Dagster and Databand. 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.
Databand is a provider of cloud and AI based data observability solutions. It provides an AI platform for unified data pipeline monitoring. It allows data scientists, data engineers, and data analysts to build, manage and optimize their processes for model training, experimentation, testing, and deployment. It is saturated with DataOps in providing automation and integration solutions through a pipeline framework for machine learning and iterative data products.
Overview | ||
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Categories | Workflow Orchestration | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid size, Enterprise | Mid size, Enterprise |
Deployment | On PremSaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium, Contact Sales | Contact Sales |
Location | United States | New York, US |
Companies using it | ||
Contact info |