Google Cloud Platform
New Relic
| Feature | ||
|---|---|---|
| Pricing | Free / from $0/mo | Free / from $0.3/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Best For | data-teams, kubernetes-users, ai-ml-teams, startups | development-teams, sre-teams, startups, devops-engineers |
| Founded | 2008 | 2008 |
| Compute Engine | ✓ | ✗ |
| Bigquery | ✓ | ✗ |
| Kubernetes Gke | ✓ | ✗ |
| Cloud Functions | ✓ | ✗ |
| Vertex Ai | ✓ | ✗ |
| Cloud Storage | ✓ | ✗ |
| Firebase | ✓ | ✗ |
| Apm | ✗ | ✓ |
| Infrastructure Monitoring | ✗ | ✓ |
| Log Management | ✗ | ✓ |
| Browser Monitoring | ✗ | ✓ |
| Synthetics | ✗ | ✓ |
| Ai Assistant | ✗ | ✓ |
| Distributed Tracing | ✗ | ✓ |
| Error Tracking | ✗ | ✓ |
✓ 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
✓ New Relic Pros
- Generous free tier with 100GB/month data ingest
- Full-stack observability in one platform
- Usage-based pricing is cost-effective for many teams
- Strong AI assistant (New Relic AI) for troubleshooting
✗ New Relic Cons
- Per-user pricing for full platform access
- Data retention limits on free tier
- Can be complex to set up comprehensively
The Verdict
Google Cloud Platform is built for data teams and kubernetes users, with a focus on compute-engine and bigquery. New Relic targets development teams and sre teams and leads with apm and infrastructure-monitoring.
Both tools come in at similar price points ($0/mo for Google Cloud Platform, $0.3/mo for New Relic), so pricing won't make the decision for you.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, New Relic offers broader built-in capabilities (8 features vs 7), while Google Cloud Platform takes a more focused approach — which can mean a simpler, faster onboarding experience.
Both tools are a solid fit for startups — 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.