Megaladata at the European Collaboration Summit 2025

Megaladata at the European Collaboration Summit 2025
From May 26 to 28, Megaladata participated in the European Collaboration Summit (ECS) 2025 in Düsseldorf, Germany, one of the largest community-driven conferences for Microsoft technologies, data collaboration, and digital workplace solutions.

At the event, Managing Director Samvel Arustamov, International Communication Manager Alex Hughes, and Marketing Manager Mattia Vercelli presented Megaladata on the Microsoft for Startups stage, highlighting it as a fast, low-code solution for advanced data analytics.

ECS 2025 brought together professionals from across the Microsoft ecosystem, promoting knowledge sharing, collaboration, and new partnerships.
 

Integrating analytics into the Microsoft ecosystem

At the summit, we showed how Megaladata works with Microsoft services to help organizations improve their workflows using analytics. The main integrations we highlighted were:

Key integration capabilities presented at the event included:

  • Direct data import/export from Excel
  • Connection to MS Access databases
  • Integration with OneDrive and SharePoint for collaborative workflows
  • Native support for  Microsoft SQL Server in enterprise environments

These capabilities allow companies already using Microsoft tools to quickly adopt advanced analytics and data processing.
 

Faster analytics for modern teams

At ECS 2025, we demonstrated how Megaladata’s low-code platform helps teams connect, study and present their data efficiently.

By cutting out the heavy coding, the platform lets everyone, not just the engineers, actually use their data to make better decisions. The event was also a great chance to meet people in the Microsoft community and see how our tool works alongside others. Being at ECS 2025 showed that Megaladata is serious about making data work easier, faster, and more collaborative for everyone, no matter their industry.

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About Megaladata

Megaladata is a low code platform for advanced analytics

A solution for a wide range of business problems that require processing large volumes of data, implementing complex logic, and applying machine learning methods.
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