Compare - Databand VS Keboola
Here’s the difference between Databand and Keboola. The comparison is based on pricing, deployment, business model, and other important factors.
About Databand
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.
About Keboola
Keboola Connection provides a cloud based staging layer to mash up data from various sources including social networks, web services, internal databases, etc.. Users can display it in Tableau or GoodData. The platform is fully extensible by third parties in all layers. Platform capabilities includes a cloud ETL layer that uses SQLDEP for easy orientation in large SQL queries. Access your own sandboxes for quick adjustments and apps to reduce repetitive tasks. Users can use SQL or R as the blending language.
Comparison Table
| Overview | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Workspace/ Collaboration, Managed Data Stack |
| Stage | Early Stage | Late Stage |
| Target Segment | Mid size, Enterprise | Mid size, Enterprise |
| Deployment | SaaS | SaaS |
| Business Model | Commercial | Commercial |
| Pricing | Contact Sales | Freemium, Contact Sales |
| Location | New York, US | US |
| Companies using it | ||
| Contact info |
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