Beam Cloud vs Pipedream
A detailed comparison to help you choose between Beam Cloud and Pipedream.
Quick Verdict
3.6/5
Beam Cloud
0 reviews
4.1/5
Pipedream
0 reviews
Pipedream is rated higher (4.1 vs 3.6). Beam Cloud provides serverless GPU and CPU compute for AI model serving and data pipelines. Scale to zero when not running. Python SDK for easy integration. Pay only for compute used. Developer-first workflow automation with code steps (Node.js, Python, Go, Bash) over 2,500+ integrated apps and 10k+ triggers/actions. Credit-based pricing: Free plan at 300 credits/month, Basic $29/mo, Advanced $49/mo (annual). Now owned by Workday.
Beam Cloud Serverless GPU infrastructure with per-second billing and instant scaling | Pipedream Low-code integration platform for developers | |
|---|---|---|
| Overview | ||
| Rating | 3.6 (0 reviews) | 4.1 (0 reviews)✓ |
| Pricing model | freemium | freemium, credit-based usage (1 credit per 30s compute at 256 MB) |
| Starting price | Free tier available | Free tier available |
| Best for | Teams shipping AI inference, agent sandboxes, and spiky GPU workloads who want per-second pricing and the option to self-host or run on their own cloud credits. | Developer teams automating integrations, webhooks, and AI-agent tooling who want managed auth and 2,500+ connectors instead of maintaining their own glue services |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ||
| Tags | ||
| Tags | free tiergpu availableus datacenterapi access | free tierapi access |
| Visit Beam Cloud → | Visit Pipedream → | |
Beam Cloud
Pros
- + Aggressive GPU pricing: H100 PCIE from $1.83/hr on-demand, RTX 4090 serverless at $0.000192/sec
- + Free Developer tier with $30 compute credits every month and no mandatory production subscription
- + Open-source beta9 runtime (AGPL-3.0) with self-host and BYOC on AWS/GCP/Azure
- + Millisecond billing with scale-to-zero; sandboxes with GPU support and GPU checkpoint restore
- + Published per-second and per-hour rates with a transparent cost calculator
Cons
- - No published uptime SLA; young company with a small team behind it
- - Multiple billing units (per-second, per-hour, per-core-second, management fees) make comparison hard
- - Cold-start figures are vendor claims; uncached large images and weight downloads are slower
- - Managed fleet's regional footprint is not published; BYOC assumes you already run a cloud account
- - Container platform, not a VPS — no bare-metal root or kernel-level control on the serverless line
Pipedream
Pros
- + Permanent free plan (300 credits/month, 3 active workflows, no credit card) with the full app library
- + Real code steps with npm/PyPI, up to 10 GB RAM, 2 GB file system, no cold starts
- + 2,500+ integrated apps with managed OAuth; Connect adds 3,000+ connectors and 10k+ tools for embedding
- + Transparent credit metering (compute-time based) with documented limits and budget controls
- + SOC 2 Type 2, GDPR, GitHub sync with branch-based development, static egress IPs on Advanced
Cons
- - Acquired by Workday (closed February 2026) — long-term product and pricing direction uncertain
- - Credits burn fast on memory-heavy or fan-out workflows; production features gated behind the $49 plan
- - No published uptime SLA or execution-region disclosure below enterprise contracts
- - Proprietary workflow constructs — moving off Pipedream means rewriting the glue code
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