Compare - Lightdash VS Apache Spark

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

About Lightdash

Lightdash removes the gap between your data transformation layer and your data visualization layer. It enables data analysts and engineers to control all of their business intelligence (data transformations/business logic as well as data visualization) in a single place. Lightdash integrates with your dbt project and gives a framework for defining metrics and specifying joins between models all within your existing dbt YAML files. The data output from your dbt project is then available for exploring and sharing in Lightdash.

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
CategoriesMetrics Store, Business Intelligence (BI)Data Modelling and Transformation
StageEarly StageLate Stage
Target SegmentMid size, SMBsMid Size, Enterprise
DeploymentOpen sourceOn Prem
Business ModelOpen SourceOpen Source
PricingFreemiumFreemium
LocationUKUS
Companies using it
coral logoCoverflex logo
FOX logoPluralsight logostreamnative logoterality logoCircleUp logoInfoPrice logoCHONGTECHNOLOGIES logoFanatics Inc logoDashlane logoSelectDB logoApache Doris logodadosfera logo
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