Datametica has been recognized by CIOReview Magazine as the recipient of “Top 10 Google Technology Solution Companies - 2019,” 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 Dr. Phil Shelley, President.

Datametica
Automation Tools for Hyper Focused Migration

Dr. Phil Shelley, President

The key to a successful move into the cloud is in achieving a fast, automated, and low-cost migration with minimal business disruption. Although several vendors boast of their robust migration solutions and services, organizations are often seeing protracted migration efforts, cost overruns, extensive business disruptions change management issues and a hindrance to business operations. Observing such challenges with regards to data migration, Datametica laid down the cornerstone for their company with an ambition to revamp Data Warehousing and Analytics modernization initiatives, said Dr. Phil Shelley, president of Datametica. Datametica provides migration solutions as well as automation tools to streamline the transition into Google Cloud. “We were customers and practitioners ourselves of data warehousing and analytics solutions, and therefore, we understand end-users’ needs while devising best practices for our clients,” adds Shelley. “This better positions us to serve organizations with diverse and complex requirements.”

Datametica is a global leading data warehouse migration and advanced analytics firm that enables companies to transform their legacy business data and analytics to the cloud, and in turn, improve enterprise efficiencies, reduce costs and enable new advanced use cases. Over the years, the firm has innovated and developed tools and automation capabilities for data warehouse modernization to the GCP Cloud. It offers Eagle, Raven, Condor, and Pelican tools to discover unknown complexities and validate data sets, move data to the GCP Cloud, automatically convert SQL and other code to Google BQ, validate data at the Petabyte scale, and significantly decrease the time, risk and cost of migration. “Our proprietary tools expedite migration processes that decrease delivery time by half,” says Shelley. Organizations often holdback migration processes due to the risk of failure during cloud transformations that often damage or disrupt businesses and increases operational costs. However, with automated tools, Datametica can now accomplish migration of large traditional systems in weeks, reducing the long-standing time and cost constraints for organizations. The firm’s modus operandi of executing projects by splitting migration processes into small sprints allows it to reduce the risk of duplication and data loss.

We were practitioners of data migration solutions, and therefore, we understand end-users’ needs while devising best practices for our clients

Prior to delivering solutions, Datametica conducts a workshop with clients to understand their needs. Its team carries out discovery and cloud migration planning utilizing its automation tools and creates a detailed strategy and sprint plan in a collaborative process leading to clients’ approval, all in four weeks or less in some cases. The clients are provided with information such as sprint durations, users, ETL and objects to be moved in each sprint, cost of Google cloud, and more.

Since the inception of Datametica, its feature-rich solutions have empowered organizations in modernizing their dated systems and maximizing return on investments through collapsing data silos, eliminating of wasteful and expensive legacy systems, and adopting Google Cloud technologies for advanced analytics use cases. One such association with State Auto Mutual Insurance Company that offers insurance products in 33 states best demonstrates Datametica’s capability in delivering Google technology solutions. Along with moving legacy solutions to the cloud, the challenge was to eliminate data silos. Datametica assisted the client in warehouse migration that resulted in decreased development time and cutting in half data warehouse costs. In addition, Google’s BigQuery—a power data analytics service—reduced query execution time by up to 90 percent, thereby, enabled the client to more effectively and efficiently process customer insurance policies.

Datametica is committed to further enhancing its tools and reducing the project implementation time by more than half while continuing to double sales in the forthcoming years. In the future, Datametica plans to increase its workforce and expand its footprints to different geographical regions. “Our next milestone is to accelerate our cloud transformation processes and cut project execution time by half again,” concludes Shelley.

Datametica

Datametica launched its SaaS-based technology - Raven Code Conversion, on the Google Cloud Marketplace

Tuesday, March 07, 2023

HARROW, England - Datametica, a leading data warehouse modernization and migration solution provider, launched its SaaS-based technology, Raven, on the Google Cloud Marketplace. Raven is a state-of-the-art code translation technology that converts workload from legacy data warehouses and ETL to native Google Cloud technologies. It saves time, and effort and reduces errors by rapidly transforming code of any length and complexity. Code such as SQL/scripts/ETLs are modernized to standardized and optimized target GCP technologies.

Raven greatly accelerates the modernization of legacy workloads to Google Cloud technologies, such as BigQuery. Raven also modernizes ETL such as DataStage, Informatica, SAS, and other solutions to GCP-native technologies.

Google Cloud Marketplace enables customers to leverage software packages quickly and efficiently. Google Cloud customers, such as those migrating to Google BigQuery, can leverage Datametica SaaS-based technologies - Eagle, Raven, and Pelican, for an accelerated and safer cloud migration experience.

Following Raven technologies are available on Google Cloud Marketplace:

• DM-Raven-DDL

• DM-Raven-SQL-Views

• DM-Raven-NON-SQL

• DM-Raven-ETL

• DM-Raven-DAG creation

During the launch of this event, Dr. Phil Shelley, Co-Founder and President of Datametica, said, "We are thrilled to announce the launch of this game-changing technology. Our goal has always been to simplify and accelerate the migration process and help businesses adopt GCP solutions. This new SaaS-based offering is a testament to our commitment to delivering innovative solutions that drive business success."

"Moving beyond legacy infrastructure is crucial to keeping in lockstep with enterprise digital transformation efforts," said Dai Vu, Managing Director, Marketplace at Google Cloud. "With workload transformations streamlined, as organizations can access Datametica's Raven Code Conversion technology on Google Cloud Marketplace, accelerating the transition of workloads from legacy to modern infrastructure," he added.

Datametica Launches Enhanced Pelican with Advanced Features and Tiered Pricing on GCP, Azure, and AWS Marketplaces

Thursday, August 10, 2023

Datametica unveils AI-enabled features in their data validation product, Pelican, with tiered pricing. It’s available on Google Cloud, Azure, & AWS Marketplaces

Datametica, a leading data modernization and cloud migration solution provider, added game-changing capabilities for its data validation technology, Pelican. Pelican has been simplifying data validation processes for years and has a proven track record. With its automated data validation capabilities, it has served hundreds of customers across various industries. The new Pelican is an enterprise-ready tool with significantly enhanced capabilities, and AI automation approaches that further advance data validation functions, all with simple deployment options at a low cost.

The new Pelican has two modes of data validation: Litmus and Full mode. The enhanced Full mode of Pelican brings out all the mismatched cells in your data pipeline in a single iteration.

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“Pelican is a proven data validation technology, that now comes with advanced AI-capabilities, making it the most advanced data validator. Our new pricing makes it affordable for wide adoption.”

— Dr. Phil Shelley, Co-Founder and President of Datametica

Some of the new features that further automate the data validation process are:

– AI-powered automated data validation & reconciliation

– Lineage powered triaging

– Built-in encryption and security features

– Validation suite

– Built-in reporting suite

– CI/CD pipeline integration

– Role-based access management

– Enterprise ready tool

– Parallel data validation

– Zero coding requirement

– Validation without data movement

With significant feature updates, the new Pelican comes at a compelling price. Pelican is now available with flexible payment options on both subscription and license models. Check the new Pelican pricing right now!

Pelican – The Data Validator offers wide-ranging business and technology applications. Pelican reduces cost, time, and risk. It has applications in the following areas: Data migration and modernization testing, production monitoring through KPIs, regression testing, data availability, and disaster recovery testing, validation of backup and restore, validation of data replication, ETL/data integration validation, and MDM testing.

Pelican is available on leading cloud marketplaces, Google Cloud, Amazon Web Services, and Microsoft Azure in a new tiered price and streamlined purchase and deployment options. You can reach us at sales.pelican@datametica.com for Pelican Marketplace offers.

Top 10 Google Technology Solution Companies - 2019

Company
Datametica

Management
Dr. Phil Shelley, President

Description
Datametica is a global leading data warehouse migration and advanced analytics firm that enables companies to transform their legacy business data and analytics to the cloud, and in turn, improve enterprise efficiencies, reduce costs and enable new advanced use cases. Over the years, the firm has innovated and developed tools and automation capabilities for data warehouse modernization to the GCP Cloud. It offers Eagle, Raven, Condor, and Pelican tools to discover unknown complexities and validate data sets, move data to the GCP Cloud, automatically convert SQL and other code to Google BQ, validate data at the Petabyte scale, and significantly decrease the time, risk and cost of migration

Datametica Automation Tools for Hyper Focused Migration