Here’s the difference between Databand and Apache Spark. 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.
Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
Overview | ||
---|---|---|
Categories | Data Quality Monitoring | Data Modelling and Transformation |
Stage | Early Stage | Late Stage |
Target Segment | Mid size, Enterprise | Mid Size, Enterprise |
Deployment | SaaS | On Prem |
Business Model | Commercial | Open Source |
Pricing | Contact Sales | Freemium |
Location | New York, US | US |
Companies using it | ||
Contact info |