Datometry has been recognized by CIOReview Magazine as the recipient of “Top 20 Virtualization Solution Companies - 2017,” based on our proprietary methodology, reflecting its position in the industry. This profile has been developed by the CIOReview research and editorial team based on insights from an interview with Mike Waas, CEO & Founder.

Datometry
Simplifying Adoption of Cloud Data Warehouses

Mike Waas, CEO & Founder

In the race to business excellence and competitive advantage, enterprises are scrambling to adopt cloud databases and data warehouses on a large scale to reduce operating expenses and improve their ROI. However, adopting cloud data management technology presents some unique challenges. As per Mike Waas, CEO and Founder of Datometry, the challenge is not moving the database content but rather the application stack that runs on the data warehouses. Re-platforming application workloads are typically multi-year projects that can cost in the millions of dollars. This is where Datometry comes in with their first-of-its-kind Adaptive Data Virtualization technology that virtualizes the data warehouse and enables enterprises to adopt cloud-native data management solutions in weeks, not years.

Datometry is fundamentally changing the economics of the data management market with a vision to help customers select the cloud data warehouse platform based on the capabilities and economics they need. “With Datometry’s hypervisor-like virtualization technology—Hyper-Q—we are tackling the toughest re-platforming problems,” says Waas. “We liberate customers, especially as they move to the cloud, and let them choose the right data warehouse for the job, eliminating the need for costly application and data warehouse migration.”

Datometry Hyper-Q provides a translation platform between the application and the underlying data warehouse and intercepts all communication in real time with no measurable overhead. In addition to translating statements and results, Hyper-Q also reformulates statements that use features in the original data warehouse not available in the cloud data warehouse. In a nutshell, Hyper-Q enriches the cloud data warehouse and closes the feature gap between the applications and the data warehouse. When data is migrated to different databases, Datometry seamlessly redirects and translates calls from the application to the new database—in the cloud or on premises—without the manual rewriting of applications or performance overhead.

Prior to the re-platforming initiative, Datometry Query Intelligence software is used to provide a fast, automated, and detailed analysis of existing application workloads and feature gaps in the new data warehouse.

This analysis gives an enterprise an assessment of the selected cloud data warehouse’s compatibility for their workloads and helps estimate the effort involved in re-platforming the data warehouse. The entire data warehouse migration and implementation process can be completed in weeks using Datometry technology.

In one particular Proof of Concept, a Global Fortune 100 retailer faced the challenge to move their custom business intelligence application with over 35 million queries executed per week to a cloud data warehouse. The retailer assessed that a re-platforming of the application would take over five years and cost in the tens of millions of dollars. Datometry was able to demonstrate it could run the 35 million queries flawlessly on the new data warehouse within six weeks.

We liberate customers as they move to the cloud, and let them choose the right data warehouse for the job

With successful engagements in the U.S., Datometry is looking to expand its footprint in Europe and Asia next. The company is continuing to enrich their data virtualization technology with additional functionality. “We believe that enterprises should be free to use their applications on the data warehouse that best suits their business needs, and we will continue to work to deliver that capability,” concludes Waas. Datometry banks on its unique differentiator, where they are not just another incremental tooling solution, but are on a mission to becoming the universal data management platform that can connect applications with relevant data sources.The company seeks to emerge as a standard for interoperability in the data space: enabling rapid adoption of data management technology with the enterprise maintaining total control of its most valuable asset: data.

Datometry

Datometry Announces Partnership with Data Consultancy Arreoblue

Friday, February 24, 2023

Companies forge partnership to meet increasing demand for database virtualization

SAN FRANCISCO and LONDON - Datometry, announced its partnership with UK-based data consultancy Arreoblue. The two companies will partner closely to empower enterprises to adopt cloud data warehouses rapidly.

Database virtualization has emerged as the preferred solution for enterprises looking to move their database workloads to the cloud: Datometry Hyper-Q eliminates the need for extensive application rewrites. With Datometry, enterprises accomplish the move from legacy to modern cloud databases in months, not years.

Arreoblue is a premier services provider specializing in advising and delivering cloud data platforms and data warehouse modernization. Founded by recognized experts in the field, Arreoblue has established a dedicated practice for migrating data warehouses using the Datometry database virtualization platform.

"Datometry redefines the space of database migrations, solving one of IT's most difficult and pressing problems, with a solution that accelerates these complex projects and lowers the risk," said Stephen Crisp, CEO of Arreoblue. "Our team brings unique expertise to guide clients through the process of modernization and enabling them to virtualize their data estate rapidly."

"We are excited about partnering with Arreoblue," says Mike Waas, CEO of Datometry. "By aligning our product offering with their services, customers get an extremely knowledgeable partner when implementing this critical initiative".

Datometry Announces Availability of Hyper-Q for Databricks on AWS

Wednesday, August 23, 2023

SAN FRANCISCO, -- Datometry, the pioneer in database virtualization, announced today the availability of Datometry Hyper-Q for Databricks on the Amazon Web Services (AWS) cloud platform. The new product offering empowers enterprise customers to overcome the lock-in of legacy vendors and move business-critical workloads to Databricks rapidly.

Organizations face challenges when attempting to transition their workloads from outdated data warehouses provided by companies like Teradata and Oracle. Up until now, the sole method for migrating applications from these outdated systems necessitated rewriting application code and translating embedded SQL using conversion tools. This approach incurs significant costs, consumes time extensively, and carries a high risk of errors. According to Gartner, a prominent analyst firm, the success rate of such migrations stands at a mere 20%, underscoring the considerable risks that enterprises must undertake.

A solution has emerged in the form of Datometry Hyper-Q for Databricks, which enables existing applications to seamlessly function with Databricks without requiring any rewriting or modification. Excitingly, Datometry has expanded the availability of its flagship product, Hyper-Q for Databricks, to now include AWS (Amazon Web Services). This means that customers, even those utilizing Teradata Vantage on AWS and Oracle RDS, can seamlessly execute their workloads on Databricks within the AWS environment.

The introduction of Datometry Hyper-Q heralds a fundamental shift in the economics of database migrations. Firstly, it eradicates the hazards linked with traditional migrations. Secondly, it significantly shortens the time-to-value period from years to mere months, accelerating migration speeds by a factor of 5 to 10. Lastly, customers can enjoy cost reductions of no less than 70% when compared to conventional migration methods.

"Adding support for Databricks on AWS was important for us as we strive to make modern data technology available everywhere," said Mike Waas, CEO of Datometry. "This offer addresses customers who moved initially to a legacy vendor's offering on AWS but have come to realize that they cannot sustain the high cost of these offerings long term."

Top 20 Virtualization Solution Companies - 2017

Company
Datometry

Management
Mike Waas, CEO & Founder

Description
Accelerates the digital transformation of enterprise IT by eliminating the costs and risks of adopting new cloud-native data management technologies

Datometry Simplifying Adoption of Cloud Data Warehouses