From Legacy Data Warehouse to Azure Databricks — in record time

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Take on the world’s biggest data warehousing challenges with Datometry and Azure Databricks

Datometry unlocks the Lakehouse without the need to rewrite or modify trusted applications. 

  • ETL/ELT

    Connect existing data pipelines and data preparation processes directly to Hyper-Q to import data to Azure Databricks 

  • BI/Reporting/Analytics

    Move business users off legacy systems onto Azure Databricks without disruption and without downtime. 

  • Medallion Architecture 

    Get a head start on a proper medallion architecture leveraging existing data ingest while serving your business users 

Deploy

Datometry Hyper-Q integrates natively with the Azure ecosystem. Its high-performance data plane deploys directly in the enterprise cloud tenant so your data never leaves the security perimeter. You can rest assured you are in full control of your data — and in compliance. 

Knowledge

Frequently Asked Questions

See also for answers to more frequently asked questions.

Datometry Hyper-Q is a SaaS platform that lets applications originally written for a specific database run natively on a cloud data warehouse. Hyper-Q enables enterprise to replatform to public cloud without a highly time-consuming, costly, and risk-laden database migration.

Datometry Hyper-Q translates and emulates SQL statements and translates data in real-time between application and cloud data warehouse. Specifically, Hyper-Q rewrites the SQL statement in a way to take advantage of the intricacies of the new destination system. The application, and with it the long-standing investment into its development, is preserved and disruptions to the business are averted.

Datometry Hyper-Q supports all application types. Because of its position in the IT stack, Hyper-Q “sees” only SQL and management statements but does not need to know about the semantics of the application.

Don’t rewrite. Virtualize.
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