Compare - Datafold VS Apache Spark

Here’s the difference between Datafold and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.

About Datafold

Datafold offers a cloud-based quality assurance & monitoring solution for analytical data. The solution enables the users to automate the quality assurance of analytical data. It verifies the data to prevent data corruption every time a developer makes a change that impacts the data in production. It also provides integration over PostgreSQL, etc.

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 SegmentEnterprise, Mid sizeMid Size, Enterprise
DeploymentSaaSOn Prem
Business ModelCommercialOpen Source
PricingFreemiumFreemium
LocationCalifornia, USUS
Companies using it
FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
Contact info
linkedin icon
twitter icon

Add to compare

Similar Companies
Griffin
Data Quality Monitoring
Acceldata logo
Acceldata
Data Quality Monitoring
Metaplane
Data Quality Monitoring
Anomalo
Data Quality Monitoring