Here’s the difference between Databand and Alvin. The comparison is based on pricing, deployment, business model, and other important factors.
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.
Provider of the cataloging and metadata management software solution. It provides a plug and play data lineage solutions for data engineers. It also provides manually mapping data bytes, impact analysis, granular usage analytics, error & problem tracing, etc. It also provides data flow & codes, in-content usage matrix for columns, tables and dashboards.
Overview | ||
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Categories | Data Quality Monitoring | Data Quality Monitoring |
Stage | Early Stage | Early Stage |
Target Segment | Mid size, Enterprise | SMBs, Mid size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Contact Sales |
Location | New York, US | Tallinn, Harjumaa |
Companies using it | ||
Contact info |