Managed Service for Apache Spark
Managed Service for Apache Spark handles the heavy lifting of running Spark workloads on Google Cloud, offering both zero-ops serverless execution and managed clusters. It abstracts away the typical infrastructure management tasks, letting you focus purely on data processing jobs without worrying about cluster maintenance or scaling mechanics.
This setup suits teams already committed to the Google Cloud ecosystem who want to avoid the operational overhead of self-managed Spark deployments. The main catch is the lack of a free tier, meaning every experiment or production job incurs immediate pay-as-you-go costs, so budgeting for compute resources is essential from day one.
- Free tier No
- Pricing Pay as you go
- Regions 10 · 5 continents
- SLA uptime 99.99%
- Compliance 13 certifications
- Provider health B
Decision score
Computed from catalog breadth, pricing, provider reliability (uptime & SLA), community signal, and ecosystem (compliance & regions). Weighted equally.
Trust & reach via Google Cloud Platform
- C5
- CSA STAR
- FedRAMP
- GDPR
- HIPAA
- ISO 27001
- ISO 27017
- ISO 27018
- ISO 9001
- PCI DSS
- SOC 1 Type II
- SOC 2 Type II
- compute99.99%
- database99.95%
- networking99.99%
- storage99.95%
10 regions across 5 continents
- Asia
- Europe
- North America
- Oceania
- South America