Here’s the difference between Alation and Databand. The comparison is based on pricing, deployment, business model, and other important factors.
Alation provides a data cataloging platform. It automatically builds a catalog of useful data documentation, covering all of the data sources, and allows users to collaborate and work on the data. It processes enterprise unstructured data by centralizing knowledge into a single place using machine learning and human analysts. The search can be made using keywords in plain English. Enables users to access relevant information (including experts, lineage, keys and indexes, relevant queries) and documentation on all tables, across the organization’s data sources. The clients include PepsiCo, Dow, Fox Networks, BMW and others.
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 Discovery, Data Cataloging | Data Quality Monitoring |
Stage | Late Stage | Early Stage |
Target Segment | Enterprise, Mid size | Mid size, Enterprise |
Deployment | SaaSOn Prem | SaaS |
Business Model | Commercial | Commercial |
Pricing | Free trial | Contact Sales |
Location | California, US | New York, US |
Companies using it | ||
Contact info |