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 by Datometry is a cutting-edge data virtualization platform designed to bridge legacy data warehouses and modern cloud-based databases without requiring any changes to existing applications. Its primary purpose is to eliminate the traditionally complex and costly process of database migration by allowing enterprises to run their existing workloads—originally built for platforms like Teradata or Oracle—natively on modern cloud databases such as Google BigQuery, Amazon Redshift, Azure Synapse, or Snowflake. This makes Hyper-Q a highly strategic solution for organizations pursuing cloud modernization while retaining the continuity of their existing applications and business logic. Key features include real-time SQL translation, data warehouse emulation, intelligent workload mapping, and performance optimization modules. In terms of user interface, Hyper-Q is not a typical point-and-click GUI-heavy application, as much of its functionality operates as a virtual compatibility layer in the background. However, the administration dashboard provided is clean and minimalist, geared toward data engineers and IT administrators. It features status overviews, performance metrics, and logging tools in a well-organized layout.
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.
Features
Key features
- Real-time SQL Translation and Emulation
- Hyper-Q acts as intelligent middleware, translating and emulating SQL statements in real-time.
- Application Agnostic Interoperability
- The platform is designed to work with any application that uses a JDBC or ODBC driver.
- Support for Modern Databases
- Hyper-Q supports most popular relational next-generation database systems, data lakes, and data warehouses.
- Proprietary SQL and Dynamic Elements Support
- It handles complex SQL constructs, from date formats and numerics to special clauses and non-standard semantics, and also supports run-time concepts like Global Temp Tables.
- No Source Access Required
- Hyper-Q enables applications to function even in situations where the source database is not accessible.
- Accelerated Migration
- By breaking the vendor lock-in of incumbent systems and eliminating the need for extensive application modifications,
Additional features
- Real-time SQL Translation and Emulation
- Translates and emulates SQL statements in real-time, allowing existing applications to work instantly with modern databases.
- Intelligent Middleware
- Positions itself between applications and new databases to facilitate seamless interoperability.
- Application Agnostic
- Works with any application using a JDBC or ODBC driver, ensuring broad compatibility.
- Powerful Abstraction
- Designed for high extensibility, continuously adding support for new source and destination databases.
- Modern Database Support
- Supports a wide range of popular relational next-generation database systems, data lakes, and data warehouses.
- Accelerated Migration
- Speeds up the move from legacy databases to next-gen technology in the cloud, on-premises, or in private cloud.
- Schema Conversion
- Provides capabilities for converting database schemas.
- Data Transfer
- Facilitates the transfer of data during migration.
- Closed-Source App Compatibility
- Works effectively with closed-source applications, which can be challenging for conventional methods.
- Full Query Coverage
- Offers comprehensive support for various query types and complexities.
- Dynamic Constructs Support
- Handles dynamic elements within SQL and run-time concepts like Global Temp Tables.
- Loaders & Utilities
- Includes support for necessary data loaders and utilities.
- Side-by-Side Testing
- Enables parallel testing of applications on both legacy and new systems.
- Scalability of Approach
- The method itself is scalable, ensuring it can handle large and complex migration projects.
Pricing
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Interface languages
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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
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
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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