Cloud · head to head
Beam Cloud vs Prometheus

Beam Cloud
Cloud
Serverless GPU computing with sub-second cold starts and multi-cloud support
- From
- Free
- Rated
- -

Prometheus
Networking
Open source monitoring and alerting toolkit for cloud native environments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; Prometheus not suitable for per-request billing as collected data lacks 100% accuracy
- They diverge on capability: Beam Cloud covers Sub-second cold starts, Prometheus covers Multi-dimensional Data Model.
Where they differ
Only the attributes on which Beam Cloud and Prometheus actually diverge.
| Attribute | Beam Cloud | Prometheus |
|---|---|---|
| Pricing model | Freemium with pay-per-millisecond usage charges | open-source |
| Platforms | Cloud, Python | Linux, macOS, Windows |
| Category | Cloud | Networking |
| Founded | Unknown | 2015 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Beam Cloud
- Sub-second cold starts
- Inference endpoints
- Task queues
- Sandboxes
- Multi-cloud support
- Python SDK
- Global distribution
- Massive parallelization
Only in Prometheus
- Multi-dimensional Data Model
- PromQL Query Language
- Pull-based Collection
- Service Discovery
- Alerting Rules
- Federation
- Local Storage
- Grafana
What people use each for
The jobs each tool is most often brought in to do.
Beam Cloud
- Deploying ML models with minimal latency and setup timenot Prometheus
- Large-scale batch processing across thousands of concurrent tasksnot Prometheus
- Cost-effective inference serving with bursty workloadsnot Prometheus
- Multi-cloud AI deployments with global low-latency accessnot Prometheus
- Serverless AI development for rapid experimentationnot Prometheus
Prometheus
- Monitoring and alerting systemnot Beam Cloud
- Time-series databasenot Beam Cloud
- Infrastructure metrics collectionnot Beam Cloud
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Beam Cloud
- Free tier limited to $30 monthly credits with 5 GPU containers
- Massive parallelization complexity may require DevOps expertise
- Per-millisecond pricing model requires careful cost monitoring
- Smaller team relative to established cloud providers
Prometheus
- Not suitable for per-request billing as collected data lacks 100% accuracy
- Hard limit on scrape body size; large responses cause scrape failure
- Per-scrape sample limit enforced; exceeding limit marks targets as failed
- Not designed for long-term durable storage; optimised for metrics collection
Pricing, plan by plan
Beam Cloud
Free- DeveloperFree
- $30 monthly free credits
- 5 GPU containers, 30 CPU containers
- Community support
- Team$89/month
- $30 monthly free credits included
- 50 GPU containers, 1,000 CPU containers
- 3 seats included, $25 per additional
- Growth$undefined/custom
- 1,000+ GPU containers
- Unlimited CPU containers
- Unlimited seats
- Serverless GPUs$undefined/per-millisecond
- RTX 4090: $0.00019/sec
Prometheus
Free- Prometheus (Open Source)Free
- 100% open source
- Community-driven project
- Apache 2 License
Which should you pick?
Choose Beam Cloud if
- You need sub-second cold starts.
- You want to start without paying.
- You work on Cloud, Python.
- You also want inference endpoints.
Choose Prometheus if
- You need multi-dimensional data model.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want promql query language.
Questions people ask
- Is Beam Cloud or Prometheus better?
- Neither clearly leads. Beam Cloud starts at Free and Prometheus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Beam Cloud or Prometheus?
- Beam Cloud starts at Free and Prometheus at Free.
- Does Beam Cloud or Prometheus run on more platforms?
- Beam Cloud runs on Cloud, Python. Prometheus runs on Linux, macOS, Windows.
- Can I use Beam Cloud for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Beam Cloud best used for?
- Beam Cloud is most often used for deploying ml models with minimal latency and setup time, large-scale batch processing across thousands of concurrent tasks, cost-effective inference serving with bursty workloads, multi-cloud ai deployments with global low-latency access. Of those, deploying ml models with minimal latency and setup time and large-scale batch processing across thousands of concurrent tasks are not what Prometheus is typically brought in for.
- What can Beam Cloud do that Prometheus cannot?
- Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes. Prometheus covers Multi-dimensional Data Model, PromQL Query Language, Pull-based Collection, Service Discovery.
Answered from the vendors’ own pages
Beam Cloud: What is included in the Developer plan?
The Developer plan includes $30 monthly free credits, 5 GPU containers, 30 CPU containers, and community support. No upfront commitment is required.
SourcePrometheus: What does Prometheus cost?
Prometheus is completely free and open source. There are no pricing tiers or paid plans. The entire project is licensed under Apache 2 and hosted on GitHub.
SourceBeam Cloud: How fast are the cold starts?
Beam Cloud achieves sub-second cold starts through memory snapshots that restore GPU containers 35x faster than traditional cold boots.
SourcePrometheus: Is Prometheus commercial software or free?
Prometheus is 100% open source and community-driven. It is a CNCF graduated project with no commercial restrictions or licensing fees.
SourceBeam Cloud: Can I deploy across multiple cloud providers?
Yes, Beam Cloud supports multi-cloud deployment across AWS, GCP, Azure, Hetzner, and other providers with 30+ global regions available.
SourcePrometheus: How is Prometheus licensed?
Prometheus is licensed under the Apache 2 License, which permits free use, modification, and distribution for commercial and non-commercial purposes.
SourceRelated pages
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