Your cloud
The platform runs inside your own subscription. There is no vendor cloud for your data to travel to.
HighlightsYour data.
Open by design
Your data.
Your infrastructure.
SchemaVortex is not a SaaS you send your data to. It runs inside your own Azure subscription, and everything it produces stays in open formats you own.
Architecture
Nothing to leave behind if you ever move on.
The whole platform runs where your data already lives. The raw data is open Parquet, and your team queries it with standard SQL.
Open Parquet, any tool
Raw data is industry-standard Apache Parquet: readable by Power BI, Excel, Spark, Databricks, and any Parquet-aware engine.
Standard SQL views
Your team queries the data with the SQL tools it already uses, from Power BI to Excel. Each column's mask is applied as each query runs.
No data lock-in
No proprietary catalog holds your data. The open Parquet stays in your own storage and belongs to you.
How it works
Everything inside your own subscription.
Your sources are extracted in place. Storage, runtime and serving all live in your own Azure subscription, billed directly by Microsoft.
Your source systems
SQL Server PostgreSQL Oracle IBM i
Customer's Azure subscription customer-owned · customer-billed · no third-party SaaS
StorageAzure Data Lake Storageraw Parquet
SchemaVortex runtimeSelf-managing runtimeruns the pipeline
QuerySynapse SQLmasked tables
Raw data lands as Apache Parquet in your own Azure Data Lake Storage. SchemaVortex governs it and keeps its history, then serves the result as access-controlled SQL views that you query like any database. The Parquet stays open, and any tool can read it.
Support access is granted by you. After handover, no standing vendor credentials remain in your tenant; if a support engineer needs access, it is through a temporary, scoped account you create and revoke.
Related features
See the open architecture, live.
A short live demo: where the data sits and what format it is in.