Here’s the difference between Google Cloud Composer and Apache Spark. The comparison is based on pricing, deployment, business model, and other important factors.
Cloud Composer is a fully managed workflow orchestration service, enabling you to create workflows that span across clouds and on-premises data centers. Built on the popular Apache Airflow open source project and operated using the Python programming language, Cloud Composer is free from lock-in and easy to use.
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.
Overview | ||
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Categories | Workflow Orchestration | Data Modelling and Transformation |
Stage | Late Stage | Late Stage |
Target Segment | Enterprise, Mid size | Mid Size, Enterprise |
Deployment | SaaSOn Prem | On Prem |
Business Model | Open Source | Open Source |
Pricing | Freemium | Freemium |
Location | US | US |
Companies using it | ||
Contact info |