AWS S3 STANDARD
~$23 / TB / month list
The hyperscaler default. World-class durability and ecosystem. But: heavy egress fees, no inline compression on customer bytes, off-soil for India, and a separate Neptune line item if you need a graph layer over the data.
Cithorum delta: approximately 50% below commercial cloud list rates effective post-Jam, zero egress, KG bundled, on-soil sovereign.
PURE · NETAPP · VAST
Premium enterprise NVMe
Industry-leading $/IOPS and deep enterprise integration. But $/TB usable runs multiples of cloud rates, the model is capex-heavy, the customer operates the iron, and no managed graph layer ships in-platform.
Cithorum delta: managed-service economics on equivalent NVMe substrate, end-to-end Jam, KG bundled, no capex commitment.
WASABI · BACKBLAZE B2
~$6–7 / TB / month flat
Cheap, simple, no egress fees. But the price is the price — no inline compression, no analytics or graph layer, US-headquartered with limited Indian-soil options. Restore SLAs are basic.
Cithorum delta: Jam takes the effective rate to ~$1–2 / TB-equivalent, plus restore-proof drills, KG, and tender-ready sovereign hosting.
CITHORUM DATA CENTRE
~50% below commercial cloud list · KG inclusive
Live at M2M TechConnect's tier. End-to-end Jam, 7.85× verified compression on the April 2026 live test (135 GB → 17.2 GB at 281 MB/s encode, 1.13 GB/s decode). NVMe-bound throughput, restore in seconds, sovereign by design.
Effective rate: 3–8× below headline cloud on production workloads, >10× below on backup-tier archives.
Jam — bytes shrink before they hit the disk
Every other vendor charges per byte stored. Jam compresses inline at 3–8× on production data and up to 100× on backup tiers (verified live in April 2026). Customers ingest 1 TB; we store ~125–325 GB. Pricing tracks compressed bytes — which is how Cithorum lands at approximately 50% below hyperscaler list rates without sacrificing margin.
KG — the graph database is already there
Hyperscalers and enterprise vendors sell storage and graph databases as separate products with egress fees in between. Cithorum's Knowledge Graph runs on the same Jam-compressed substrate. Genomics relationships, legal citation graphs, revenue-ops joins — all queried in-platform with zero data movement and one bill. For regulated buyers this collapses an entire vendor row off the procurement diagram.
Combined — one substrate, both effects
The same rack stores 3–8× more data and answers graph queries against it without lifting a byte off disk. The buyer's alternative is two vendors, two bills, an egress line, and an integration project. The Cithorum stack replaces all three — which is why the comparison above lands the way it does.