Here’s the difference between Databand and Selfr. 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.
Selfr is a low-code data platform that provides all the tools you need to go from your live data sources to interactive dashboards. It replaces stitching together a cloud data warehouse, an ELT solution, a data transformation solution, a scheduler, and a BI solution.
Overview | ||
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Categories | Data Quality Monitoring | Managed Data Stack |
Stage | Early Stage | Early Stage |
Target Segment | Mid size, Enterprise | SMB's, Mid-Size, Enterprise |
Deployment | SaaS | SaaS |
Business Model | Commercial | Commercial |
Pricing | Contact Sales | Contact Sales |
Location | New York, US | New York |
Companies using it | ||
Contact info |