Compare - Dagster VS Apache Spark

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

About Dagster

Dagster is an orchestrator that's designed for developing and maintaining data assets, such as tables, data sets, machine learning models, and reports.You declare functions that you want to run and the data assets that those functions produce or update. Dagster then helps you run your functions at the right time and keep your assets up-to-date.

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
CategoriesWorkflow OrchestrationData Modelling and Transformation
StageEarly StageLate Stage
Target SegmentMid size, EnterpriseMid Size, Enterprise
DeploymentOn PremSaaSOn Prem
Business ModelOpen SourceOpen Source
PricingFreemium, Contact SalesFreemium
LocationUnited StatesUS
Companies using it
Good Eggs logoMejuri logoDutchie logoAngellist Talent logoAritzia logoAirbyte logo
FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
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