#Datometry

[inventivaindia]

Big opening for startups that help move entrenched on-prem workloads to the cloud

AWS CEO Andy Jassy showed signs of frustration at his AWS re:Invent keynote address in December.

Customers weren’t moving to the cloud nearly fast enough for his taste, and he prodded them to move along. Some of their hesitation, as Jassy pointed out, was due to institutional inertia, but some of it also was due to a technology problem related to getting entrenched, on-prem workloads to the cloud.

[craigbrownphd-blog-blog]

Datometry to Teradata and Oracle customers: Move to cloud without changing code https://www.zdnet.com/article/datometry-to-teradata-and-oracle-customers-move-to-cloud-without-changing-code/?utm_source=dlvr.it&utm_medium=tumblr#ftag=RSSbaffb68

[alexianewsletter]

Datometry snares $17M Series B to help move data and applications to the cloud https://ift.tt/2HmUHXF

[un-enfant-immature]

Datometry snares $17M Series B to help move data and applications to the cloud

Moving data to the cloud from an on-prem data warehouse like Teradata is a hard problem to solve, especially if you’ve built custom applications that are based on that data. Datometry, a San Francisco startup, has developed a solution to solve that issue, and today it announced a $17 million Series B investment.

WRVI Capital led the round with participation from existing investors including Amarjit Gill, Dell Technologies Capital, Redline Capital and Acorn Pacific. The company has raised a total of $28 million, according to Crunchbase data.

The startup is helping move data and applications — lock, stock and barrel — to the cloud. For starters, it’s focusing on Teradata data warehouses and applications built on top of that because it’s a popular enterprise offering, says Mike Waas CEO and co-founder at the company.

“Pretty much all major enterprises are struggling right now with getting their data into the cloud. At Datometry, we built a software platform that lets them take their existing applications and move them over to new cloud technology as is, and operate with cloud databases without having to change any SQL or APIs,” Waas told TechCrunch.

Today, without Datometry, customers would have to hire expensive systems integrators and take months or years rewriting their applications, but Datometry says it has found a way to move the applications to the cloud, reducing the time to migrate from years to weeks or months, by using virtualization.

The company starts by building a new schema for the cloud platform. It supports all the major players including Amazon, Microsoft and Google. It then runs the applications through a virtual database running the schema and connects the old application with a cloud data warehouse like Amazon Redshift.

Waas sees virtualization as the key here as it enables his customers to run the applications just as they always have on prem, but in a more modern context. “Personally I believe that it’s time for virtualization to disrupt the database stack just the way it has disrupted pretty much everything else in the datacenter,” he said.

From there, they can start developing more modern applications in the cloud, but he says that his company can get them to the cloud faster and cheaper than was possible before, and without disrupting their operations in any major way.

Waas founded the company in 2013 and it took several years to build the solution. This is a hard problem to solve, and he was ahead of the curve in terms of trying to move this type of data. As his solution came online in the last 18 months, it turned out to be good timing as companies were suddenly looking for ways to move data and applications to the cloud.

He says he has been able to build a client base of 40 customers with 30 employees because the cloud service providers are helping with sales and walking them into clients, more than they can handle right now as a small startup.

The plan moving forward is to use some of the money from this round to build a partner network with systems integrators to help with implementation so that they can concentrate on developing the product and supporting other data repositories in the future.

[inventivaindia]

Datometry snares $17M Series B to help move data and applications to the cloud

Datometry snares $17M Series B to help move data and applications to the cloud

Moving data to the cloud from an on-prem data warehouse like Teradata is a hard problem to solve, especially if you’ve built custom applications that are based on that data. Datometry, a San Francisco startup, has developed a solution to solve that issue, and today it announced a $17 million Series B investment.

WRVI Capital led the round with participation from existing investors including…

[yourbizsolutions]

Datometry snares $17M Series B to help move data and applications to the cloud http://bit.ly/2tQESVQ http://bit.ly/2tQESVQ

[magzoso-tech]

New Post has been published on https://magzoso.com/tech/datometry-snares-17m-series-b-to-help-move-data-and-applications-to-the-cloud/

Datometry snares $17M Series B to help move data and applications to the cloud

Moving data to the cloud from an on-prem data warehouse like Teradata is a hard problem to solve, especially if you’ve built custom applications that are based on the data. Datometry, a San Francisco startup, has developed a solution to solve that issue, and today it announced a $17 million Series B investment.

WRVI Capital led the round with participation from existing investors including Amarjit Gill, Dell Technologies Capital, Redline Capital and Acorn Pacific. The company has raised a total of $28 million, according to Crunchbase data.

The startup is helping move data and applications — lock, stock and barrel — to the cloud. For starters, it’s focusing on Teradata data warehouses and applications built on top of that because it’s a popular enterprise offering, says Mike Waas CEO and co-founder at the company.

“Pretty much all major enterprises are struggling right now with getting their data into the cloud. At Datometry, we built a software platform that lets them take their existing applications and move them over to new cloud technology as is, and operate with cloud databases without having to change any SQL or APIs,” Waas told TechCrunch.

Today, without Datometry, customers would have to hire expensive systems integrators and take months or years rewriting their applications, but Datometry says it has found a way to move the applications to the cloud, reducing the time to migrate from years to weeks or months, by using virtualization.

The company starts by building a new schema for the cloud platform. It supports all the major players including Amazon, Microsoft and Google. It then runs the applications through a virtual database running the schema and connects the old application with a cloud data warehouse like Amazon Redshift.

Waas sees virtualization as the key here as it enables his customers to run the applications just as they always have on prem, but in a more modern context. “Personally I believe that it’s time for virtualization to disrupt the database stack just the way it has disrupted pretty much everything else in the datacenter,” he said.

From there, they can start developing more modern applications in the cloud, but he says that his company can get them to the cloud faster and cheaper than was possible before, and without disrupting their operations in any major way.

Waas founded the company in 2013 and it took several years to build the solution. This is a hard problem to solve, and he was ahead of the curve in terms of trying to move this type of data. As his solution came online in the last 18 months, it turned out to be good timing as companies were looking suddenly for ways to move data and applications to the cloud.

He says he has been able to build a client base of 40 customers with 30 employees because the cloud service providers are helping with sales and walking them into clients, more than they can handle right now as a small startup.

The plan moving forward is to use some of the money from this round to build a partner network with systems integrators to help with implementation, so that they can concentrate on developing the product and supporting other data repositories in the future.

[computer-basics]

Kyle Wiggers / VentureBeat: Datometry raises $17M Series B led by WRVI Capital to virtualize data warehouses, following its $10M Series A in June 2017  —  Warehouse virtualization, alternatively known as logical data warehousing and data federation, offers advantages over traditional data warehousing solutions in that it's faster and cheaper to market.

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[omarboulakjar]

Datometry snares $17M Series B to help move data and applications to the cloud

Moving data to the cloud from an on-prem data warehouse like Teradata is a hard problem to solve, especially if you’ve built custom applications that are based on that data. Datometry, a San Francisco startup, has developed a solution to solve that issue, and today it announced a $17 million Series B investment. WRVI Capital […] http://j.mp/38qHKrE

[noisilykawaiideer]

Datometry snares $17M Series B to help move data and applications to the cloud

https://ift.tt/2SFDIoM

[itmanco]

Datometry snares $17M Series B to help move data and applications to the cloud Moving data to the cloud from an on-prem data warehouse like Teradata is a hard problem to solve, especially if you've built custom applications that are based on the data. WRVI Capital led the round with participation from existing investors including Amarjit Gill, Dell Technologies Capital, Redline Capital and Acorn Pacific. The startup is helping move data and applications -- lock, stock and barrel -- to the cloud. https://ift.tt/2SJmsPg By Samy Morsy

from I.T MAN https://ift.tt/1cjthd7 via IFTTTBy Samy Morsy

[mikebaursw]

via Startups – TechCrunch

[dizzedcom]

Datometry snares $17M Series B to help move data and applications to the cloud

Datometry snares $17M Series B to help move data and applications to the cloud

Moving data to the cloud from an on-prem data warehouse like Teradata is a hard problem to solve, especially if you’ve built custom applications that are based on the data. Datometry, a San Francisco startup, has developed a solution to solve that issue, and today it announced a $17 million Series B investment.

WRVI Capital led the round with participation from existing investors including…

[simdcom4gsahaha]

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[harshalblogs-blog]

Data Virtualization Market is mainly driven by rising Demand for Cost-Efficient data management solutions |2018 – 2026

Data virtualization is a data integration technology. It incorporates data from different locations formats, and sources, without duplicating the data, to build a single “virtual” data layer that provides integrated data services to support numerous users and applications. Data virtualization may also be deliberated as a substitute to data warehousing and ETL (extract, transform, and load). Data virtualization technology is a crucial part of modern data architecture. This is primarily due to its adaptability and capacity to rapidly incorporate new data sources and deliver information in real-time to business clients. It is commonly used by organizations in order to enhance their IT infrastructure with competitive pricing, better performance, and a trusted environment. Presently, enterprises are creating high demand for data virtualization solution, as it has the capability to enhance business procedures and offer logical data warehousing and advanced data management capabilities.

The global data virtualization market is mainly driven by rising demand for cost-efficient data management solutions among enterprises in order to manage huge amount of data generated from organizations on a regular basis. Data virtualization solution enables enterprises to virtually integrate, access, and provide critical data to business intelligence and analytical tools. Additionally, increasing demand for data integration software tools is anticipated to boost the demand for data virtualization solutions around the globe. Furthermore, increase in adoption of cloud-based solutions by enterprises in order to enhance their business processes is also projected to fuel the demand for data virtualization solutions across the world. However, lack of standardization in enterprise data management is a crucial factor hampering the growth of the global data virtualization market. Furthermore, reluctance among enterprises to invest in advanced solutions is another key restraint. This is primarily because enterprises are still dependent on their traditional architecture and infrastructure.

Rise in demand for business intelligence tools among small and medium enterprises is anticipated to create new opportunities for the growth of the global data virtualization market around the globe.

Read Report Brochure @ https://www.transparencymarketresearch.com/sample/sample.php?flag=B&rep_id=50976

The global data virtualization market can be segmented on the basis of component, deployment, enterprise size, industry, and region. Based on component, the global data virtualization market can be bifurcated into solutions and services. The solutions segment can be categorized into standalone solutions and integrated solutions, while the services segment can be split into professional and managed services. In terms of deployment, the market can be segregated into cloud-based and on-premise. On the basis of enterprise size, the market can be categorized into small and medium enterprises and large enterprises. Based on industry, the global data virtualization market can be classified into manufacturing, healthcare, banking, financial services, and insurance (BFSI), media & entertainment, retail & e-commerce, IT & telecom, government, and others.

In terms of region, the global data virtualization market can be segmented into Europe, North America, Middle East & Africa, South America, and Asia Pacific. The data virtualization market in North America is estimated to expand at a substantial rate during the forecast period. North America sees high adoption of data virtualization solutions due to the presence of established data virtualization solution vendors in the region. Presently, enterprises are highly focused on implementing data virtualization solutions in order to accelerate value on projects, reduce upfront costs, and form an agile information architecture. The data virtualization market in Asia Pacific is anticipated to grow significantly during the forecast period. Demand for data virtualization in the region is primarily generated from countries, such as, India, China, and Japan. Furthermore, rapid development and innovation in the field of data management system and growing awareness among end-users are expected to create new opportunities for the growth of the data virtualization market in Asia Pacific.

Major players operating in the global data virtualization market include SAP SE, IBM Corporation, Informatica LLC, Denodo Technologies Inc., Amazon Web Services (AWS), Cisco, Inc., Red Hat, Inc., TIBCO Software Inc., Oracle Corporation, VMware, Inc., Microsoft Corporation, SAS Institute, Information Builders, Gluent Inc., and Datometry Inc.

Read Report Toc @ https://www.transparencymarketresearch.com/sample/sample.php?flag=T&rep_id=50976