Google Cloud Platform Analytics

Lakehouse

Google Cloud’s Lakehouse platform centers on Apache Iceberg, enabling multi-cloud data management for analytics and AI agent workflows. It handles open-format data storage and processing, targeting enterprise-scale operations that require interoperability across different cloud environments without locking data into proprietary silos.

This setup suits teams already committed to Iceberg standards and needing AI-driven insights from distributed data sources. The main friction point is the complete absence of a free tier. You pay strictly on a pay-as-you-go basis from day one, so there is no sandbox environment to test the architecture before incurring costs.

Product page Docs
  • Free tier No
  • Pricing Pay as you go
  • Regions 10 · 5 continents
  • SLA uptime 99.99%
  • Compliance 13 certifications
  • Provider health B

Decision score

37 /100
Features 20
Pricing 0
Reliability 94
Community 0
Ecosystem 86

Computed from catalog breadth, pricing, provider reliability (uptime & SLA), community signal, and ecosystem (compliance & regions). Weighted equally.

Trust & reach via Google Cloud Platform

Compliance
  • C5
  • CSA STAR
  • FedRAMP
  • GDPR
  • HIPAA
  • ISO 27001
  • ISO 27017
  • ISO 27018
  • ISO 9001
  • PCI DSS
  • SOC 1 Type II
  • SOC 2 Type II
+1 more
SLA uptime
  • compute99.99%
  • database99.95%
  • networking99.99%
  • storage99.95%
Global reach

10 regions across 5 continents

  • Asia
  • Europe
  • North America
  • Oceania
  • South America

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