Compare - Apache Spark VS Dataform

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

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.

About Dataform

Dataform is an application to manage data in BigQuery, Snowflake, Redshift, and other data warehouses. It enables data teams to build scalable, tested, SQL based data transformation pipelines using version control and engineering inspired best practices. Compile hundreds of data models in under a second using SQLX. SQLX extends your existing SQL warehouse dialect to add features that support dependency management, testing, documentation and more.

Comparison Table

Overview
CategoriesData Modelling and TransformationData Modelling and Transformation
StageLate StageEarly Stage
Target SegmentMid Size, EnterpriseEnterprise, Mid size
DeploymentOn PremSaaS
Business ModelOpen SourceCommercial
PricingFreemiumFree trial
LocationUSLondon, UK
Companies using it
FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
Proposify logoAritzia logo
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