Name: Datometry Adaptive Database Virtualization
Uploaded: 2017-07-06T18:50:29.000Z
Duration: 1 min 33 s
Description: Datometry Adaptive Database Virtualization

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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 SmartSchema™. Emulates advanced data types, control flow features, and operational functionalities for efficient schema optimization.

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.

SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.

SAP HANA Cloud

Datometry Hyper-Q

Data virtualization tools provide a virtual abstraction layer for multiple sources of data without copying or moving the data. This layer hides the technical aspects of stored data like location, structure, access language and storage technology. Data virtualization tools allow many different data sources to act as a single, consistent source for data consumers.

Data Virtualization

Datometry

Datometry Explainer Video

Virtualization has fundamentally transformed IT over the past decades. Datometry brings the core tenets of virtualization now to databases: Datometry Hyper-Q is the platform that virtualizes the data warehouse. Harness virtualization to move database applications to the cloud without having to change a line of SQL.

Datometry Adaptive Database Virtualization

Datometry (http://www.datometry.com) is the world's first data warehouse virtualization platform that allows existing applications to run natively on alternate data warehouses without re-writing or re-configuring the applications. Datometry is the simplest and the fastest path to the cloud.

Data Visualization

Data Visualization software features help clients and businesses better visualize and present data.

Data Visualization Options

Provides a wide range of customizable data visualization options such as charts, graphs, maps, and tables to effectively present data.

Interactivity

Enables users to interact with the visualizations by clicking, hovering, zooming, or filtering to explore the data further.

Data Import and Export

Allows users to easily import data from various sources like databases, spreadsheets, CSV files, and APIs, and export visualizations for sharing or further analysis.

Dashboard Creation

Allows users to create interactive dashboards by combining multiple visualizations and data components into a single layout for a comprehensive view of data.

Customization Capabilities

Offers options to customize colors, styles, labels, fonts, and other design elements to tailor visualizations to specific needs and branding.

Data Filtering and Sorting

Enables users to filter and sort data within visualizations based on specific criteria to focus on relevant information and trends.

Project Collaboration Tools

Provides features for multiple users to collaborate on data visualizations simultaneously, share insights, and work on projects together.

Real-time Data Updates

Supports real-time data streaming and updates to ensure that visualizations reflect the most current information and changes.

Cross-platform Accessibility

Allows users to access and view data visualizations on different devices and platforms such as desktops, tablets, and smartphones.

Data Analytics Integration

Integrates with data analytics tools and platforms to perform advanced data analysis, derive insights, and enhance visualization capabilities.

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Datometry Hyper-Q

Overview

What is Datometry Hyper-Q?