Resources

We are delighted to announce a significant milestone in our journey of innovation and expansion: the launch of our new Center of Excellence (CoE) in Bangalore, India!

Computomic announces the appointment of Jillian Strange as Human Resources Manager to support and drive the growth of our expanding team.

Computomic announces the appointment of Cindy To as Project Manager in our growing Databricks Data + AI Practice.

Databricks awards Computomic “Emerging Business Partner Win of the Year” for at its Annual Sales Kickoff in Las Vegas.

Computomic announces the appointment of Mick Szabo as Senior Project Manager in our growing Databricks Data + AI Practice.

Databricks announces that Computomic has become a Databricks Select Partner.

Computomic announces the appointment of Liat Cagan as Senior Engagement Manager in our growing Databricks Data + AI Practice.

Computomic announces the appointment of Mohit Nagrath as Resident Solutions Architect to build our Databricks Data + AI Practice.

Computomic hosts its first Holiday party for Databricks and our Customers at the exclusive Elements Restaurant in Princeton, NJ.

Computomic announces the appointment of Eugene Reis as Resident Solutions Architect to build our Databricks Data + AI Practice.

Computomic announces the appointment of industry veteran Nick Milne-Home as our President to lead the company’s strategy, accelerate our growth and drive innovation in our growing Databricks Data & AI Practice areas.

With this collaboration, Computomic aims to offer our clients an unparalleled automated-migration experience from legacy platforms such as Teradata, Netezza, Hadoop , Informatica, Talend and many others, to Databricks.

A subsidiary of a major Fortune 100 Pharmaceutical Company wanted to optimize diagnostics capabilities for finding and treating tumors and other chronic ailments.

A subsidiary of a major Fortune 100 Pharmaceutical Company wanted significantly faster and lower cost processing of telemetry data in its surgical robots to find optimal traversals, find faults, complaints and build optimized learning models to improve the robotic equipment.

A division of a major MedTech Company had no way to increase the capacity of its existing data platform for enhanced services and adding new use cases.

A major MedTech Company required real time insights into expiring contracts and pricing discounts.

Major European white goods servicing and repair company had no centralized data about its customers and business operations, preventing it from being able to optimize its business processes.

Major European white goods servicing and repair company wanted 360 degree visibility of its customers and its internal business processes.

Leading provider of Crypto solutions for businesses wanted to centralize its data to provide new products & services to its customers.

Multinational Pharmaceutical company wanted to utilize new Microsoft Azure and Databricks capabilities in order to improve performance, reduce cost, optimize their operations and develop new products.

This article is intended to explore the constant pursuit of the idea of having a single, fully integrated data platform that can address most, if not all, data governance and management needs and how Databricks is not only a pioneer in this field but also the most mature and comprehensive platform to fulfill the requirements.

We compare the key capabilities of Databricks and Snowflake across multiple areas, to enable one to look at both platforms holistically and not get enamored by “shiny features” that can seldom stand the test of time.

Computomic, along with Databricks, is bringing to market a highly differentiated offering that combines industry leading fraud subject matter expertise + the most modern AI & ML platform in Databricks.