Cloud · head to head
Beam Cloud vs PlanetScale

Beam Cloud
Cloud
Serverless GPU computing with sub-second cold starts and multi-cloud support
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; PlanetScale pricing varies significantly across 17+ AWS and GCP regions
- They diverge on capability: Beam Cloud covers Sub-second cold starts, PlanetScale covers Database Branching.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Beam Cloud and PlanetScale actually diverge.
| Attribute | Beam Cloud | PlanetScale |
|---|---|---|
| Pricing model | Freemium with pay-per-millisecond usage charges | usage-based |
| Platforms | Cloud, Python | Cloud-hosted (AWS, GCP, Azure) |
| Category | Cloud | Databases |
| Founded | Unknown | 2018 |
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 PlanetScale
- Database Branching
- Non-blocking Schema Changes
- Insights
- Horizontal Scaling
- Connection Pooling
- Query Caching
- Automatic Backups
- Global Replication
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 PlanetScale
- Large-scale batch processing across thousands of concurrent tasksnot PlanetScale
- Cost-effective inference serving with bursty workloadsnot PlanetScale
- Multi-cloud AI deployments with global low-latency accessnot PlanetScale
- Serverless AI development for rapid experimentationnot PlanetScale
PlanetScale
- MySQL-compatible applications requiring horizontal scalingnot Beam Cloud
- PostgreSQL deployments with custom cluster configurationsnot Beam Cloud
- Multi-region database deployments on AWS or GCPnot Beam Cloud
- Applications requiring transparent sharding via Vitessnot 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
PlanetScale
- Pricing varies significantly across 17+ AWS and GCP regions
- Additional costs for EBS storage beyond base tier, backup storage, and egress
- Dedicated PgBouncer and replicas incur separate charges
- Metal tier pricing increases sharply with larger configurations
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
PlanetScale
Free- Postgres EBS Single-Node (ARM64 PS-5)$5/month
- 512 MiB RAM
- Single-node configuration
- EBS storage included
- Postgres EBS HA (ARM64 PS-5)$15/month
- 512 MiB RAM
- 3-node high-availability setup
- 1 primary + 2 replicas
- Postgres Metal (M-10)$50/month
- 1/8 vCPU, 1 GiB RAM
- 3-node HA configuration
- 10 GiB NVMe storage included
- Vitess Non-Metal 3-Node$39/month
- Sharding-capable database
- x86-64 architecture
- 3-node configuration
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 PlanetScale if
- You need database branching.
- You want to start without paying.
- You work on Cloud-hosted (AWS, GCP, Azure).
- You also want non-blocking schema changes.
Questions people ask
- Is Beam Cloud or PlanetScale better?
- Neither clearly leads. Beam Cloud starts at Free and PlanetScale at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Beam Cloud or PlanetScale?
- Beam Cloud starts at Free and PlanetScale at Free.
- Does Beam Cloud or PlanetScale run on more platforms?
- Beam Cloud runs on Cloud, Python. PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
- 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 PlanetScale is typically brought in for.
- What can Beam Cloud do that PlanetScale cannot?
- Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling.
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.
SourcePlanetScale: How much does a PlanetScale Postgres database cost per month?
PlanetScale Postgres pricing starts at $5/month for single-node ARM64 configurations with 512 MiB RAM and $15/month for the same specs in high-availability mode with 1 primary and 2 replicas. Metal tier starts at $50/month for M-10 configuration (1/8 vCPU, 1 GiB RAM). Exact pricing depends on cluster size, node architecture (ARM64 vs x86-64), storage configuration, and selected AWS/GCP region.
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.
SourcePlanetScale: Is there a free tier for PlanetScale?
PlanetScale offers a free tier for development and testing workloads. After free tier limits are reached, usage-based pricing applies starting at $5/month for the smallest Postgres single-node configuration, with costs scaling based on cluster size, compute, storage, and additional features like dedicated PgBouncer or replicas.
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.
SourcePlanetScale: What is the difference between PlanetScale ARM64 and x86-64 pricing?
ARM64 instances cost significantly less than x86-64 equivalents. For example, a Postgres EBS HA cluster with 512 MiB RAM costs $15/month on ARM64 but $39/month on x86-64. This pricing difference extends across all cluster sizes, with larger x86-64 configurations reaching up to $5,599/month compared to ARM64 alternatives.
SourcePlanetScale: What is included in a PlanetScale cluster price versus additional costs?
The advertised cluster price covers the base compute and configured storage. Additional charges apply for EBS storage beyond the base allocation, backup storage, data egress, optional dedicated PgBouncer connections, and replicas beyond the base high-availability configuration. Regional pricing varies across 17+ AWS and GCP zones.
SourceRelated pages
More on PlanetScale
Other head to heads
- Beam Cloud vs Cerebrium
- Beam Cloud vs Lambda
- Beam Cloud vs Upstash
- Beam Cloud vs Neon
- Beam Cloud vs Koyeb
- Beam Cloud vs Fly.io
- Beam Cloud vs Rancher
- Beam Cloud vs Deno Deploy
- Beam Cloud vs Serverless Framework
- Beam Cloud vs Render
- Beam Cloud vs Railway
- Beam Cloud vs Lambda (AWS Serverless)
- Beam Cloud vs Akamai
- Beam Cloud vs Alibaba Cloud
- Beam Cloud vs Buildah
- Beam Cloud vs CapRover
- Beam Cloud vs Chef
- Beam Cloud vs Cilium
- Beam Cloud vs Amazon Aurora
- Beam Cloud vs Nile
- Beam Cloud vs Airtable
- Beam Cloud vs Cockroach Labs
- Beam Cloud vs PostgreSQL
- Beam Cloud vs BigQuery
- Beam Cloud vs MotherDuck
- Beam Cloud vs FaunaDB
- Beam Cloud vs DataGrip
- Beam Cloud vs TiDB
- Beam Cloud vs Readyset
- Beam Cloud vs IBM Db2
- Beam Cloud vs Instaclustr
- Beam Cloud vs Knack
- Beam Cloud vs LanceDB
- Beam Cloud vs Marqo
- Beam Cloud vs DynamoDB
- PlanetScale vs Cerebrium
- PlanetScale vs Lambda
- PlanetScale vs Upstash
- PlanetScale vs Neon
- PlanetScale vs Koyeb
- PlanetScale vs Fly.io
- PlanetScale vs Rancher
- PlanetScale vs Deno Deploy
- PlanetScale vs Serverless Framework
- PlanetScale vs Render
- PlanetScale vs Railway
- PlanetScale vs Lambda (AWS Serverless)
- PlanetScale vs Akamai
- PlanetScale vs Alibaba Cloud
- PlanetScale vs Buildah
- PlanetScale vs CapRover
- PlanetScale vs Chef
- PlanetScale vs Cilium
- PlanetScale vs Amazon Aurora
- PlanetScale vs Nile
- PlanetScale vs Airtable
- PlanetScale vs Cockroach Labs
- PlanetScale vs PostgreSQL
- PlanetScale vs BigQuery
- PlanetScale vs MotherDuck
- PlanetScale vs FaunaDB
- PlanetScale vs DataGrip
- PlanetScale vs TiDB
- PlanetScale vs Readyset
- PlanetScale vs IBM Db2
- PlanetScale vs Instaclustr
- PlanetScale vs Knack
- PlanetScale vs LanceDB
- PlanetScale vs Marqo
- PlanetScale vs DynamoDB

