Here’s the difference between Databand and Apache Hudi. 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.
Hudi is a rich platform to build streaming data lakes with incremental data pipelines on a self-managing database layer, while being optimized for lake engines and regular batch processing.
Overview | ||
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Categories | Data Quality Monitoring | Data Lakes |
Stage | Early Stage | Early Stage |
Target Segment | Mid size, Enterprise | Mid Size, Enterprise |
Deployment | SaaS | Open Source |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium |
Location | New York, US | California, US |
Companies using it | ||
Contact info |