Typical SaaS
Your data moves to the vendor.
It's copied into the provider's cloud and held on their multi-tenant platform. You rent access to data that now lives somewhere you don't control.
Self-managing data lakehouse
A governed data lakehouse,
in days.
SchemaVortex turns the data locked in your ERP, CRM and line-of-business systems into a governed lakehouse with full history, running entirely inside your own Azure subscription on open Parquet and plain SQL. No pipelines to develop, no data-engineering team to hire.
The platform
The lakehouse, already built.
Everything between your operational systems and your dashboards, delivered as one governed product you run yourself.
SchemaVortex isn't a cloud you send your data to — it deploys into the one you already run.
SchemaVortex
The platform runs in your cloud.
Deployed into your Azure subscription and run by your own team; the platform governs its own environment, and there is no vendor access. Your data is governed where it lives and never leaves your tenant.
Connect anything
Built-in connectors for the SQL databases and systems you already run, plus a developer SDK to push in anything custom.
- SQL Server
- PostgreSQL
- MySQL
- Oracle
- IBM i
- Infor Data Lake
- REST & files
- …and many more
From source to dashboard
A complete lakehouse, delivered turnkey: ingestion, history, governance and serving. Nothing to assemble, nothing to integrate.
Governed from day one
Five approval-and-masking gates, data classification and a full audit trail — all active from the moment your first table is discovered.
See how governance worksYour Azure, open formats
Runs entirely inside your own subscription, not a SaaS. Data stays as industry-standard Parquet and plain SQL, readable by Power BI, Excel, even Databricks. No vendor cloud, no lock-in.
AI Assistance
AI Chat helps you explore and understand your schemas, and it runs inside your subscription under the same governance as everyone else.Reads only schema and metadata, never your data.
Integrated AI governanceRun by your own team
After we set it up and hand it over, your BI team operates the whole platform and builds the models, all from the browser.
The data pipeline
Five steps from connection to query.
Set it up once, and SchemaVortex runs it from there, automatically.
- 01
Connect
Point SchemaVortex at any SQL source — it discovers the tables, columns, types and keys automatically, with no connectors to build. Non-SQL sources come in through the Producer SDK.
What it connects to - 02
Approve & classify
Stewards approve which tables and columns may enter the Vault and classify how sensitive each one is. Nothing lands ungoverned.
How approval works - 03
Model
Your BI team configures the Vault and the Mart — deciding which data to keep full history for and shaping the governed views your analysts work from.
Integrated catalog - 04
Full history
From then on, every change is captured for you — a complete history of your data that you own and can rewind to any moment.
- 05
Serve
Governed, ready-to-use data lands in the tools your team already trusts — Power BI, Excel or any SQL client — with no servers to run in between.
Highlights
Vertical integration.
Five pillars of the platform, each a feature in its own right.
Governance
Governance built in, not bolted on.
Every column from every source passes five gates before anyone sees it, and because the platform applies the masking at query time, every query is served already masked. No separate sanitized copy to keep in sync.
See how governance worksThe Vault
Schema changes that don't break reports.
When a source adds a column or changes a type, the Vault stores a new, versioned column and keeps the old, so the columns existing reports read don't change underneath them.
How the Vault worksLineage
Every column's path is tracked.
Trace any column back to the exact source it came from, or see everything a change would touch. Both answered live, from the platform itself. View- and column-level lineage, always current.
Explore lineageThe Catalog
Browse, query and trace, in one catalog.
A single catalog across the Vault and the Mart: a schema browser, a live SQL editor and one-click lineage on any column — all built in, with nothing to deploy or scan.
Explore the catalogOpen by design
Your data. Your infrastructure.
Open Parquet in your storage, standard SQL in your hands, the whole platform in your subscription. Nothing to migrate away from.
Why it's openOut of the box
No platform to build.
On a generic stack, each of these is a sprint, a statement of work, a team. Here, they come with the platform.
Automated provisioning
The platform creates and configures its own Azure resources — no manual setup, no scripts.
AI Assistance
AI Chat explores and explains your schemas, never your data.
Bring Your Own Data
Upload Excel or CSV straight to the lake, or push anything via the Producer SDK.
Full audit trail
Every action logged, searchable, and tamper-evident.
Self-service audited sandbox
A safe place to experiment, covered by the same audit trail.
GDPR right-to-erasure
Remove a person without rebuilding the lake.
Point-in-time restore
Disaster or ransomware in a source? Roll back your lakehouse without losing history.
Azure Data Factory integration coming soon
Extend SchemaVortex with new Data Factory pipelines of your own.
The difference
Years of platform-building, already done.
Days, not years
A reliable in-house lakehouse is a 1–3-year project that needs data engineers you can't easily hire or keep. SchemaVortex arrives turnkey and is operated by your existing BI team.
Predictable cost, not an open-ended project
A productized platform with costs you can plan around, rather than a build that grows its own headcount. The Azure it runs on is billed to you directly by Microsoft — no reseller markup, nothing idling between jobs.
Nothing locked in
The only vendor-specific part is the platform software itself — and it runs in your tenant, operated by your team. Your data stays in open Parquet, queried with standard SQL, so it's yours to keep, with or without us.
Where we are
Built in Budapest. Working across Europe.
SchemaVortex is headquartered in Budapest and active across Europe.