Google Cloud Platform icon

Google Cloud Platform

★★★★ 4.4
VS

Hex

★★★★ 4.4
Feature Google Cloud Platform Hex
Pricing Free / from $0/mo Free / from $28/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.4 / 5 4.4 / 5
Best For data-teams, kubernetes-users, ai-ml-teams, startups data-analysts, data-scientists, analytics-engineers, data-teams
Founded 2008 2019
Compute Engine
Bigquery
Kubernetes Gke
Cloud Functions
Vertex Ai
Cloud Storage
Firebase
Sql Cells
Python Cells
Charts
Data Apps
Scheduling
Version History

✓ Google Cloud Platform Pros

  • Best-in-class data and analytics tools (BigQuery)
  • Leading Kubernetes offering (GKE) from its creators
  • Clean, modern console and developer experience
  • $300 free credits for new accounts

✗ Google Cloud Platform Cons

  • Smaller service catalog than AWS
  • Enterprise support and sales lag behind AWS/Azure
  • History of deprecating services concerns users

✓ Hex Pros

  • SQL + Python in one tool
  • Beautiful data apps
  • Collaborative notebooks
  • Good sharing features

✗ Hex Cons

  • Expensive for teams
  • Learning curve for non-technical
  • Limited self-hosting

The Verdict

Google Cloud Platform is built for data teams and kubernetes users, with a focus on compute-engine and bigquery. Hex targets data analysts and data scientists and leads with sql-cells and python-cells.

On pricing, Google Cloud Platform is the clear winner for budget-conscious users — starting at $0/mo compared to $28/mo for Hex. That $28/mo difference adds up quickly for growing teams.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Feature-wise, Google Cloud Platform offers broader built-in capabilities (7 features vs 6), while Hex takes a more focused approach — which can mean a simpler, faster onboarding experience.

Both tools are a solid fit for data teams — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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