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Google Cloud Dataproc vs Supabase

Professional comparison and analysis to help you choose the right software solution for your needs.

Google Cloud Dataproc icon
Google Cloud Dataproc
Supabase icon
Supabase

Google Cloud Dataproc vs Supabase: The Verdict

⚡ Summary:

Google Cloud Dataproc: Google Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simple, cost-efficient way.

Supabase: Supabase is an open source alternative to Firebase. It offers easy backend storage, authentication, and APIs for web and mobile applications. Supabase provides an interface similar to Firebase with realtime databases, authentication, storage, and more.

Both tools serve their respective audiences. Compare the features, pricing, and user ratings above to determine which best fits your needs.

Last updated: May 2026 · Comparison by Sugggest Editorial Team

Feature Google Cloud Dataproc Supabase
Sugggest Score — —
Category Ai Tools & Services Development
Pricing — Freemium

Product Overview

Google Cloud Dataproc
Google Cloud Dataproc

Description: Google Cloud Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters in a simple, cost-efficient way.

Type: software

Supabase
Supabase

Description: Supabase is an open source alternative to Firebase. It offers easy backend storage, authentication, and APIs for web and mobile applications. Supabase provides an interface similar to Firebase with realtime databases, authentication, storage, and more.

Type: software

Pricing: Freemium

Key Features Comparison

Google Cloud Dataproc
Google Cloud Dataproc Features
  • Managed Spark and Hadoop clusters
  • Integrated with other GCP services
  • Autoscaling clusters
  • GPU support
  • Integrated monitoring and logging
Supabase
Supabase Features
  • Realtime Database
  • User Management & Authentication
  • Storage
  • APIs
  • Dashboards

Pros & Cons Analysis

Google Cloud Dataproc
Google Cloud Dataproc
Pros
  • Fast and easy cluster deployment
  • Fully managed so no ops work needed
  • Cost efficient
  • Integrates natively with other GCP services
Cons
  • Only supports Spark and Hadoop workloads
  • Less flexibility than DIY Hadoop cluster
  • Lock-in to GCP
Supabase
Supabase
Pros
  • Open source alternative to Firebase
  • Easy to set up
  • Scales automatically
  • Free tier available
  • Built on Postgres database
Cons
  • Less mature than Firebase
  • Limited third-party integrations
  • Not as feature rich as Firebase

Pricing Comparison

Google Cloud Dataproc
Google Cloud Dataproc
  • Not listed
Supabase
Supabase
  • Freemium

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Learn More About Each Product

Google Cloud Dataproc
Google Cloud Dataproc
Reviews, pricing & alternatives →
Supabase
Supabase
Reviews, pricing & alternatives →

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