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SCHEMAVORTEX
Platform

Connect anything

Any source. Any tool.

SchemaVortex reads the data in the systems you already run and serves it to the tools your team already uses. Each query returns only what its reader may read.

Integration

No connectors to build. Works with the BI tools you already use.

SchemaVortex sits between your operational systems and your dashboards and connects the two.

Any source

SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, SAP HANA, IBM i and Infor Data Lake, and the ERP and business systems built on them, are read directly. Excel, CSV and Parquet files are imported as tables. REST APIs and anything custom come in through the Producer SDK.

Auto-discovery

Point SchemaVortex at an SQL source, and it discovers the tables, columns, types and keys. There is nothing to map by hand.

Open foundation

Everything runs in your own Azure subscription. Data is stored as Apache Parquet, an industry standard, and served through Synapse.

Any BI tool

Query the masked views from Power BI, Excel, Tableau, Qlik, Python or any SQL client.

How it works

One platform between your source systems and your tools.

SchemaVortex connects to your sources, runs on Azure services and open formats, and serves the result to the tools your business uses.

Connects to

SQL Server PostgreSQL MySQL MariaDB Oracle SAP HANA IBM i Infor Data Lake

…files by import, REST and anything custom via the SDK

Built on

Azure Synapse Data Lake Storage Apache Parquet

Served to

Power BI Tableau Qlik Excel Python …any SQL client

Once a source is registered, SchemaVortex discovers it for you: the tables, columns, types and keys, with nothing to map by hand. For anything without a built-in connector, the Producer SDK pushes the data in directly.

See a source become an approved, masked table.

A short live demo: from the first connection to an approved, query-ready table.