Here’s the difference between dbt and Databand. The comparison is based on pricing, deployment, business model, and other important factors.
Dbt is an analytics engineering workflow tool. The command line based build tool enables data analysts and engineers to transform data in their warehouse and can take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. It automates data quality testing, deploys analytics code, and delivers data with documentation.
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 | Data Modelling and Transformation | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Open Source | Commercial |
Pricing | Free trial, Contact Sales | Contact Sales |
Location | US | New York, US |
Companies using it | ||
Contact info |