40-60%

lower compute spend on the same workload

70%

fewer governance hours after first quarter

<60s

to generate a regulator-ready audit pack

$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, GPU-priced compute on the workloads that matter, 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?'. Cortex Agents bind a role at runtime. Eisberg issues every agent a signed Birth Certificate at creation — mandated intent scope, data-class boundary, action ceiling, expiry, human owner, policy-bundle hash. A regulator can replay every decision against the certificate that authorised it.

Compliance is a checklist there. Code here.

Snowflake sells you Horizon and a partner ecosystem. Eisberg ships compliance modules — BCBS 239, SR 11-7, HIPAA, 21 CFR Part 11 — as deployable code. Audit packs generate themselves on demand. Regulator review takes hours, not weeks.

Migration is a quote there. A weekend 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. You are running parallel within a week and cut over 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. 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 is still Private Preview — 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.