Compare - Databand VS Apache Spark

Here’s the difference between Databand and Apache Spark. 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 Apache Spark

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.

Comparison Table

Overview
CategoriesData Quality MonitoringData Modelling and Transformation
StageEarly StageLate Stage
Target SegmentMid size, EnterpriseMid Size, Enterprise
DeploymentSaaSOn Prem
Business ModelCommercialOpen Source
PricingContact SalesFreemium
LocationNew York, USUS
Companies using it
FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
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