40-60%

lower compute spend — our pricing target, proven on your workload before contract

Your keys

customer-owned KMS on data + metadata, fail-closed by design — verified in our live environment

100%

of actions in a tamper-evident, HMAC-chained audit trail

$0

data egress to your own Iceberg tables, forever

Your warehouse bill is the bug, not the feature.

Snowflake's pricing model assumes you'll forget to suspend warehouses. We don't. Pause-to-zero by default, right-sized engines per query, outcome-based billing on the platform layer. Every dollar on your invoice ties to a measurable outcome.

Your data is hostage. We make it portable.

Snowflake stores in their format, in their account, in their cloud. Eisberg writes to Apache Iceberg in your bucket, behind your KMS keys, in your cloud. Any engine that supports the open standard can read it — including Snowflake itself. Your continuity is structurally guaranteed.

Their AI is a chat layer. Ours is the OS.

Cortex is text-to-SQL on top of a warehouse — and even with Optima auto-tuning execution underneath, the model is still answer-a-question, not run-the-business. Eisberg's intelligence is wired into the planner, the governance plane, and the agent runtime. We eliminate unnecessary queries entirely through semantic understanding; we don't just make the unnecessary ones cheaper.

Agent governance defined at creation. Not after the incident.

When an autonomous agent touches your data, the question your auditor will ask is not 'did you log it?' but 'what bounded its authority at the moment it acted — and can I check it myself?'. Snowflake now issues cryptographic agent identity too (Agent Principal, GA), so the edge isn't having identity; it's where authority is enforced and how independently you can verify it. Eisberg issues every agent an Ed25519-signed Birth Certificate at creation — mandated intent scope, data-class boundary, action ceiling, expiry, human owner, policy-bundle hash — with the public key exported for offline verification, enforced at a fail-closed chokepoint on data you own. Full auditor-replay of every decision is the verification API we're building next.

Governance is a permission model there. Enforcement here.

Snowflake sells you Horizon and a partner ecosystem. Eisberg enforces governance at the compute layer: a fail-closed query chokepoint on by default, role-based masking verified in our live environment, impact-gated actions with two-key human approval, and an HMAC-chained, tamper-evident audit trail with a request-id join from every answer back to the decision that authorized it. The auditor-replayable verification API — replay any decision without asking us — is in active build. Compliance rule packs for regulated frameworks are in development on top of that enforcement plane — modules, not certifications.

Migration is an 18-month saga there. Weeks here.

We translate your DDL, views, stored procs, and policies. We move your data to Iceberg in your bucket. We stand up the equivalent compute and governance. The target: parallel running within the first week, cutover within a month. No 18-month change-management saga.

Agent-ready by structure, not by retrofit.

Snowflake's managed MCP server and Cortex Agents are real — but they run inside Snowflake's perimeter, with Snowflake's model selection, against Snowflake's catalog. Eisberg's agent runtime, model router, catalog plane, query engine, and deployment substrate are all swappable. The agent platform is portable end-to-end because the data platform underneath it is.

Their real-time tier is a new product with fine print.

Snowflake Interactive Analytics ships sub-second dashboards via a new warehouse type paired with a new table type that's only compatible with that warehouse. As documented at launch: capped at 10 interactive tables per warehouse, 5-second per-query timeout, fallback warehouse required for over-cap queries. The 'streaming' path that lands data sub-second was still Private Preview at launch — the Generally Available path is batch refresh with TARGET_LAG measured in minutes. Their own example SQL shows TARGET_LAG = '5 minutes'. Aggressive pricing ($0.03/GB ingest vs ClickHouse Cloud's $0.04, $23/TB storage vs $25.30) is a buy-the-market move — and tells you which segment they think they're losing. Our micro-query lane is not a tier you provision; it's the router's default for small workloads, on Iceberg you own.