Arker vs sfcompute
Sandbox Benchmark Comparison · Updated October 30, 2026
vs
sfcompute was faster in 1 of 2 shared sandbox benchmarks, and 1 was roughly even.
Head to head
Burst TTI
Median time to interactive over time
Arkersfcompute
Median total workload time over time
Arkersfcompute
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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 1 of 2 shared sandbox benchmarks, and 1 was roughly even. In Burst TTI (October 30, 2026), Arker had a median time to interactive of 324ms and sfcompute 322ms, which counts as roughly even. In DAX (October 9, 2026), sfcompute had a median total workload time of 41.72s versus 64.68s for Arker, 1.55x faster.
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