The platform for the team that can't be five teams.
You have two data people and the analytics ambitions of a company ten times your size. AZ-Five replaces the stitched stack — ingestion, storage, quality, BI, lineage, model monitoring — with one platform a small team can actually govern.
Five vendors. Zero shared context.
The standard stack means five contracts, five auth systems, five schemas of truth to reconcile — and integration glue nobody owns, maintained in the gaps between job descriptions. Every hand-off is a place where quality dies silently, and for a lean team the glue alone is a full-time job you didn't hire for.
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Ingestion
schema drift between here and the warehouse
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Warehouse
no idea which loads went stale
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Transformation
silent nulls pass straight through
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BI
no lineage back into the numbers
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Monitoring
alerts arrive after the decision
NO INTERCHANGE BETWEEN ANY TWO OF THEM
What one platform replaces.
Every layer of the stitched stack has a first-class equivalent here — sharing one storage layer, one permission model and one lineage graph.
| Capability | The stitched stack | AZ-Five |
|---|---|---|
| Ingestion | ELT vendor + custom scripts | Connectors, file uploads and eight capture SDKs |
| Storage | Proprietary cloud warehouse | Open Delta Lake — Parquet you can export |
| Transformation | dbt + a separate orchestrator | Visual pipelines; dbt projects import directly |
| Quality monitoring | Standalone observability tool | Profiling, rules, SLAs and health on every dataset |
| BI + dashboards | Dashboard vendor | SQL editor, charts, dashboards, embeds, deliveries |
| Lineage | A catalog nobody updates | Generated by the system itself, source to dashboard |
| Model monitoring | A separate MLOps stack | ONNX models, drift and performance in the same graph |
Governance without a platform team.
Datasets, measures and dashboards live on branches, and a change request shows the diff and the downstream impact before it merges. That's the control a dedicated platform team would spend a year building, running on day one, for a team of two.
How governance worksStart free. Grow into a dedicated instance.
AZ-Five starts free on the shared platform and moves to a dedicated instance when scale or compliance calls for it — same product, same data, no migration project in between. The data sits as open Delta tables throughout, so growing up never means moving out.
Full fare tableBuilt for teams like yours.
Growing SaaS, first data hires
You just hired your first data engineer and the backlog is a company’s worth of questions. One platform means they ship governed dashboards in week one instead of spending two quarters wiring vendors together.
Consultancies serving several clients
Multi-org tenancy keeps every client fully isolated — separate data, separate members, separate branding on embeds — while your team works across all of them from one deployment.
Teams outgrowing spreadsheet reporting
The monthly numbers live in a spreadsheet only one person understands. Move it into datasets with validation rules and a measure catalog, and the report becomes something the whole company can query.
Teams that need controlled infrastructure
Enterprise runs on a dedicated single-tenant instance, and data is stored as open Delta tables throughout. Nothing is held hostage in a proprietary format, and isolation is a deployment option rather than a rewrite.
This is the end of the line.
Bring one dataset and a question. Unlimited seats, no card, and the whole network from day one.