Datometry Hyper-Q

Datometry Hyper-Q, the world’s first Adaptive Database Virtualization solution, simplifies how enterprises manage existing, and develop new applications on cloud databases.

Why Hyper-Q

Datometry Hyper-Q lets enterprises adopt new cloud databases rapidly, control ongoing operating expenses, and build out analytic capabilities for faster digital transformation.

Simplified Approach

The conventional database migration approach of rewriting applications is not required

Decreased Risk

Eliminate the risks associated with rewriting and testing millions of application queries

Preserve Business Investment

Protect long-standing investments in the development of mission-critical business logic

Accelerated Time to Value

Realize BI savings swiftly by avoiding the expense of rewriting and testing applications

The Hyper-Q Solution

Datometry Hyper-Q allows any existing applications to run on any cloud database, making applications and databases interoperable. Enterprises can now adopt the cloud database of choice, without having to rip, rewrite and replace applications.

Hyper-Q Platform Overview

Real-Time Translation

Queries and results are translated in real-time between the existing and new databases with accuracy and consistency.

Database Workload Management

Concurrency control, prioritization of workloads, and query band support. Proven to scale to 1000s of connections.

Transparent Database Migration

The DBA can inspect where and how each query is spending time and granularly gauge the overall performance of the database workload.

Augmentation of Missing Features

Support for legacy features for which there is no equivalent support on new database.

Optimization Capabilities

Implement database workloads based on best practices and recommendations from the new database vendor.

Query Intelligence (QI)

A dashboard of query plans, overall execution with tracing of long-running queries, and the recommended use of statistics and indexes.

The Datometry Advantage

Datometry Hyper-Q allows enterprises to run and manage applications in cloud databases, within multiple databases, in the cloud or between different cloud platforms.
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Frequently Asked Questions

Datometry® Hyper-Q™ enables enterprises to re-platform existing database applications to modern data warehouses (on-premise or in the cloud) instantly and without costly migrations.

Datometry Hyper-Q lets applications originally written for a specific database run natively on a cloud database. This eliminates the tedious, costly, and risk-laden rewriting of applications.
Hyper-Q intercepts communication off the network native protocol and returns bit-identical results for database applications. The solution translates query statements and results in real-time. The application can continue using the original driver and original SQL syntax. In this regard, the application is perfectly preserved and operates natively as with the original database.
None. Applications will be pointed to Hyper-Q as the database host and the applications will run as they do today.
The solution is application agnostic, that is, it supports workloads emitted by BI tools, custom query scripts, ad-hoc queries, and so forth.
The overhead of Hyper-Q is negligible since it only translates statements and delegates the execution to the new database.
The execution time is primarily dependent on the new data warehouse. This gives customers the flexibility to control performance and execution directly through scale primitives of the new data warehouse.
Hyper-Q integrates with standard IT security infrastructure including Active Directory.
The very value proposition underlying Hyper-Q means POCs can be devised and executed with next to no effort for the prospect. Yet, the results are comprehensive as large workloads can be analyzed and executed rapidly.
Datometry strives to ensure its customers are successful. Therefore, Datometry continuously extends the already very extensive coverage of the supported source systems. The design of Hyper-Q’s powerful framework makes adding features based on new customer requirements a fast process.
Datometry provides a comprehensive error logging and handling mechanism. In the rare case of encountering an unsupported command or statement, the logs can be used directly to initiate a support ticket.
Yes, Datometry partners with a number of database vendors including Pivotal, Redshift, Cloudera, and Microsoft and is also certified for their technologies. The Datometry team is interested in working with other database vendors or business intelligence systems: email the Datometry team at info@datometry.com to learn more.

All query traffic passing through Datometry is automatically logged and traced to allow for auditing and managing workloads. This is a powerful value-add you get out-of-the-box.
Datometry uses the RBAC mechanism of the target database to control which objects are accessible to users. This avoids having to maintain an external layer of permissions and configuration.
Yes, Datometry currently encrypts the messages exchanged during authentication handshake between the application and Hyper-Q. This can be extended to allow full encryption of the communication between application and the database.
Contact the Datometry Team at info@datometry.com for a demo and learn more about BI modernization.

Supported Systems

Cloud-based
Alibaba logo

Alibaba ApsaraDB

Amazon Redshift logo

Amazon Redshift

Microsoft Azure SQL  DW logo

Azure SQL Data Warehouse

GreenPlum logo

Pivotal Greenplum

Snowflake logo

Snowflake

On Premises

Microsoft SQL server logo
Microsoft SQL Server

GreenPlum logo
Pivotal Greenplum

Postgre SQL logo
PostgreSQL

Datometry Hyper-Q allows any existing applications to run on any cloud database