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About Hyper-Q

Hyper-Q is a database migration software from Datometry that supports smooth transitions to AI Data Clouds. It combines flipping the script on traditional database migrations, adopting AI technology, and facilitating cloud integration so organizations can modernize their data architectures effectively. Hyper-Q provides tools to simplify the migration process while ensuring data integrity and performance. This software is designed to assist organizations in using advanced AI capabilities, making it suitable for businesses looking to improve their data strategies. Key capabilities: database migration AI integration cloud support data integrity performance improvement Best for: enterprises that need to transition to cloud-based AI solutions.

Hyper-Q Details

Vendor
Datometry
Year Launched
2013
Location
3979 Freedom Circle, Ste 340, Santa Clara, CA 95054, US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Chinese, Japanese, Korean
Users
IT Administrators, Data Scientists, Researchers, Data Analysts
Industries Served
Healthcare, Education, Finance, Retail
Tags
Data Management, Hyper-Q

Hyper-Q's In-App Market Place

Does Hyper-Q have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), HKD (HK$), NZD (NZ$), SGD (S$)

Pros & Cons

  • Existing applications work "as-is" with new databases without requiring costly rewrites or modifications.
  • Significantly accelerates database migrations
  • Liberates enterprises from dependency on incumbent legacy database vendors
  • Supports a wide array of modern databases
  • Handles complex and proprietary SQL, dynamic elements, and embedded SQL
  • Introducing an intelligent middleware layer might add another component to manage within the IT infrastructure, potentially increasing architectural complexity.
  • Enterprises become reliant on Datometry for the translation and emulation capabilities, potentially creating a new vendor dependency.
  • Real-time translation and emulation of SQL statements could introduce a slight performance overhead compared to native execution
  • Primarily designed for database migrations and modernization, it may not be beneficial for organizations without this specific need.
  • Hyper-Q is a different, less conventional approach that might require a mindset shift.

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