DATA CENTERS · STORAGE · EGRESS · RACKS

Shrink the bits. Keep the floor.

Data centers pay for disks, racks, power, cooling, and egress. SPL Codec is built for structured data — logs, metrics, time-series, integers, web payloads — where general-purpose compressors leave money on the table. Play with the widget — see storage and $ impact in seconds.

Multi-GB ≈ pocket change ~$2 to process 9 GB Web + bulk modes No process dump — outcomes
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Storage density

Less raw bytes on disk and object stores → fewer drives, less capacity spend, slower growth of the fleet.

Egress & replication

Cross-AZ / cross-region / CDN fill shrinks with smaller payloads. Bandwidth is often the silent bill.

Power & cooling

Fewer spinning/flash devices and less network churn means less heat. Compression pays rent twice.

Savings widget

Adjust your estate. Numbers update live. Conservative defaults — edit costs to match your contracts.

Honest model: ratios are domain estimates from lab benches + industry GP baselines — not a guarantee. Structured logs/ints are where we lead; high-entropy media is not the claim. Process IP stays private.

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SPL Codec vs your baseline · storage held + monthly movement

Est. annual $ saved
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storage + egress delta
Storage after SPL
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vs baseline footprint
Effective ratio (SPL)
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vs raw · baseline shown below
Monthly storage $
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Monthly egress $
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Raw estate—
After baseline—
After SPL Codec—
Cost to process a 9 GB pilot on suite
~$2.06
Live pricing: multi-GB is pocket change · open suite
Quote my data Try web sample Book a pilot

Feel a real compress (browser → API)

Runs SPL Web Codec on a small lab sample — not your full estate, just the sensation.

Pick a sample and run.

Estimates only. Ratios by data class from lab benches + industry GP baselines. Not a warranty of savings. High-entropy/media not the target.