Megaladata at MWC Barcelona 2026

Megaladata at MWC Barcelona 2026
At the beginning of March, our team participated in MWC Barcelona 2026, one of the world’s largest technology and innovation events. From March 2 to 5, we were proud to represent Armenia’s growing technology ecosystem as part of the Armenian IT Pavilion.

Being present at MWC allowed us to showcase Megaladata on the global stage alongside other innovative Armenian technology companies.

Showcasing Armenian tech innovation

Throughout the event, we met with founders, analysts, technology leaders, and decision-makers from around the world. At the Armenian stand, we demonstrated how the Megaladata low-code analytics platform helps organizations process massive datasets quickly and efficiently.

During live conversations and demos, we showed how teams can analyze hundreds of millions of records in minutes, simplify complex data workflows, and make faster, more informed decisions using advanced analytics.

MWC Barcelona provided an excellent opportunity to discuss real-world data challenges organizations face every day and explore how modern analytics platforms can support digital transformation across industries.

Building global connections

Participating in MWC as part of the Armenian pavilion highlighted the strength and potential of Armenia’s technology sector. It was inspiring to stand alongside other Armenian teams demonstrating innovative solutions to an international audience.

We are grateful to the Ministry of High-Tech Industry of the Republic of Armenia for supporting Armenia’s presence at MWC Barcelona and for creating opportunities for local companies to present their technologies globally.

Thank you to everyone who visited the Armenian stand and connected with our team during the event. We look forward to continuing the conversations and building new partnerships around the world.

See also

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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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