sfcompute vs Upstash

Sandbox Benchmark Comparison · Updated October 30, 2026

sfcompute was faster in both shared sandbox benchmarks.

Head to head

  • Burst TTITime to interactive · lower is better
    sfcompute faster6.00x
    sfcompute
    322ms
    Upstash
    1.93s
  • DAXTotal workload time · lower is better
    sfcompute faster1.37x
    sfcompute
    41.72s
    Upstash
    57.26s

Burst TTI

October 30, 2026

sfcompute

100% success
Median
322ms
p95
467ms
p99
494ms
sfcompute Burst TTI results

Upstash

100% success
Median
1.93s
p95
3.80s
p99
3.97s
Upstash Burst TTI results

Median time to interactive over time

12 runs · September 4, 2026 to October 30, 2026
sfcomputeUpstash

sfcompute

100% success · October 9, 2026
Median
41.72s
sfcompute DAX results

Upstash

100% success · October 30, 2026
Median
57.26s
Upstash DAX results

Median total workload time over time

5 runs · September 16, 2026 to October 9, 2026
sfcomputeUpstash

Cost per DAX run

sfcompute

Per GiB-hour (parkable)
$0.0085per run
41.72s median at $0.7315/hr

Rollout sandboxes at $0.04572/GiB-hr while active (16 GiB); parked/idle drops to ~$0.000139/GiB-hr. Interactive cpu-8 node is $0.4824/hr with a 15-min minimum.

Source pricing page

Upstash

Active CPU
$0.0064per run
57.26s median at $0.4000/hr

Large box (8 vCPU / 16 GB): $0.40/active-CPU-hour — assumes 100% CPU utilization for the whole build.

Source pricing page
Compare sandbox costs across all providers →
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Methodology

  • One workload, every provider. The same script, payload, and model hit every provider, addressed the way its own API expects. Nobody gets a tuned or special path.
  • Repeated on a schedule. Every suite runs many iterations per provider, automated on a recurring schedule, so results reflect steady state rather than one lucky request.
  • Raw results published. Every run is committed as JSON to the public benchmarks repo, next to the code that produced it. Nothing is cherry-picked or held back.
  • How this comparison is built. Each benchmark compares the two providers' medians; results within 5% count as roughly even. A comparison is published only when both providers completed at least 50% of runs in 2 or more shared benchmarks run in the last 30 days. If a provider’s latest run of a benchmark failed, its most recent successful run from that window is used instead.

Frequently asked questions

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sfcompute was faster in both shared sandbox benchmarks. In Burst TTI (October 30, 2026), sfcompute had a median time to interactive of 322ms versus 1.93s for Upstash, 6.00x faster. In DAX (October 9, 2026), sfcompute had a median total workload time of 41.72s versus 57.26s for Upstash, 1.37x faster.

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