Overview
What is Datometry Hyper-Q?
Datometry Hyper-Q is a hypervisor platform for databases that facilitates seamless migration of legacy data warehouses to modern cloud data warehouse technologies. The solution eliminates the need for application rewrites or modifications, making it suitable for businesses of all sizes. It caters to...
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What is Datometry Hyper-Q?
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.
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- Tech Details
What is Datometry Hyper-Q?
Datometry Hyper-Q is a hypervisor platform for databases that facilitates seamless migration of legacy data warehouses to modern cloud data warehouse technologies. The solution eliminates the need for application rewrites or modifications, making it suitable for businesses of all sizes. It caters to IT professionals, database administrators, data engineers, architects, business analysts, and industries such as financial services and retail.
Key Features
Hyper-Q for Microsoft Azure Databricks: Seamlessly integrates with Microsoft Azure Databricks, enabling cloud data warehousing without application rewrites. Facilitates data import into Azure Databricks and supports migration of business users from legacy systems.
Hyper-Q for Microsoft Azure Synapse: Provides a seamless transition from legacy data warehouses to Azure Synapse without compromising existing processes. Enables direct connection of data pipelines and data preparation processes for import and customization by line-of-business users.
Hyper-Q for Google BigQuery: Harnesses the scalability of Google BigQuery for demanding analytics workloads without application rewrites. Executes Teradata workloads directly on BigQuery and integrates with IAM and OAuth for authentication compatibility.
Hyper-Q for Amazon Redshift: Elevates Amazon Redshift instances to data marts with Teradata capabilities. Enables execution of reporting, business intelligence, and analytics applications natively on Amazon Redshift. Integrates with Amazon Redshift's IAM and OAuth for authentication.
qInsight: An assessment system that reveals workload characteristics and provides comprehensive planning for replatforming. Analyzes static structures, entire workloads, and generates ROI/TCO analysis. Identifies compatibility and optimization opportunities for cloud readiness.
qShift: Converts existing schema of legacy data warehouses and lays the foundation in the cloud. Generates optimized DDL for the destination data warehouse. Seamlessly bridges differences between source and destination schema using Datometry SmartSchemaâ„¢. Emulates advanced data types, control flow features, and operational functionalities for efficient schema optimization.
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Datometry Hyper-Q Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
