Here’s the difference between Apache Spark and Dataform. The comparison is based on pricing, deployment, business model, and other important factors.
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.
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.
Overview | ||
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Categories | Data Modelling and Transformation | Data Modelling and Transformation |
Stage | Late Stage | Early Stage |
Target Segment | Mid Size, Enterprise | Enterprise, Mid size |
Deployment | On Prem | SaaS |
Business Model | Open Source | Commercial |
Pricing | Freemium | Free trial |
Location | US | London, UK |
Companies using it | ||
Contact info |