From Teradata to Azure Synapse — without the headache

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Take on the world’s toughest data warehouse workloads with Datometry and Azure Synapse

Datometry unlocks the benefits of Azure without the need to reinvent your business, without disrupting business processes, and without compromises.

  • ETL/ELT

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

  • BI/Reporting/Analytics

    Let line-of-business users execute even highly customized jobs without any significant modifications.

  • Custom Applications

    See even custom applications using BTEQ or other utilities like MLOAD or TPUMP operate fully transparently.

Deploy

Datometry Hyper-Q integrates natively with the Azure Synapse 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.

Case study

UK retailer accelerates their journey to Azure with Datometry

See how a UK retail powerhouse, one of the largest grocery chains in the UK, uses Datometry to accelerate their re-platforming to Azure.


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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.