Fabric is great if you only ever want to be on Azure.
It's not a question of whether Fabric works on Azure. It works fine. The question is whether your enterprise is going to be single-cloud-Microsoft for the next decade — or whether you need a platform that runs on AWS, Azure, GCP, and the neo-cloud GPUs that are about to reshape the cost curve.
3
clouds, one set of manifests
0
lock-in to a single hyperscaler
Apache Iceberg
the format the industry has converged on
MCP
agent-native protocol, not Copilot-locked
The differences your CIO will care about.
Single-cloud, by design.
Fabric is fundamentally an Azure product. If your enterprise is single-cloud-Microsoft, that is fine. If you are multi-cloud, regulated, or considering neo-cloud GPUs, Fabric forces a decision Eisberg never makes you make.
Closed-format gravity inside an open-looking shell.
Fabric uses OneLake on top of Delta. Delta is governed by one vendor. Eisberg writes Apache Iceberg in your bucket — the format Apple, Netflix, AWS, Google, and Snowflake itself are converging on.
Customer data lives on Microsoft infrastructure.
Fabric stores your data in Microsoft-managed OneLake. Eisberg's data plane is structurally on customer-owned object storage, behind customer KMS keys. For regulated industries, that distinction is binary.
Agent-friendly, not agent-native.
Copilot is a chat layer over Fabric. Eisberg was designed for agents from line one — sub-100ms agent APIs, MCP-protocol native, per-action metering, identity-bound governance. Different ceiling.
Bundled compute, opaque pricing.
Fabric capacity units obscure where the cost is going. Eisberg's pricing ties to outcomes — measured savings, resolved anomalies, prevented violations — backed by replayable evidence on every invoice.
Migration is a deeper conversation than a button.
We translate your Synapse, Power BI semantic models, and Fabric pipelines into Eisberg's open-format, multi-cloud surface. Your continuity is in the format, not the vendor.
The honest head-to-head.
| Capability | Eisberg | Snowflake | Databricks |
|---|---|---|---|
| Knowledge Layer — learns your business from operating | |||
| Tribal knowledge extracted + bound (not just linked) | |||
| Cross-domain stitching (business + software + comms entities) | |||
| Signed agent Birth Certificates (cryptographic identity) | |||
| Compute-layer agent enforcement (not metadata certification) | |||
| Automated business ontology (2 weeks vs 18 months of consulting) | |||
| Customer-owned object storage | |||
| Open format (Iceberg) by default | |||
| GPU-native query engine | |||
| Sub-100ms agent API targets | |||
| MCP-protocol native | |||
| Per-action agent metering | |||
| Policy-as-code governance at every layer | |||
| Compliance modules (BCBS 239 / SR 11-7 / HIPAA / 21 CFR Part 11) | |||
| Autonomous data classification | |||
| Pipelines that resolve their own failures | |||
| Compounding intelligence across customers (k≥3 anonymity) | |||
| Cost ceiling via outcome pricing |
Send us your Fabric setup.
We will model the same workload on Eisberg, show the projected cost with the math, and demonstrate multi-cloud portability and agent governance running on your data.