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Arcitecta’s Mediaflux Data Platform Recognized as Top Data Management Platform in 2026 StorageNewsletter Awards

Arcitecta's advanced data management platform chosen from more than 100 submissions in inaugural StorageNewsletter Awards

Arcitecta Pty. Ltd., a creative and innovative data management software company, announced it has been named the winner of the StorageNewsletter Awards 2026 in the Data Management category.

Arcitecta’s Mediaflux platform was selected from more than 100 submissions across 11 categories by a seven-member jury, earning recognition for its distinctive approach to managing petabyte-scale data environments for global enterprises and research institutions.

“Being recognized by StorageNewsletter, a trusted voice in the storage industry for decades, is a meaningful validation of what we’ve built with Mediaflux,” said Jason Lohrey, CEO, Arcitecta. “Our customers operate some of the world’s most demanding data environments, from large-scale research institutions to global enterprises. This recognition reflects the real-world impact Mediaflux delivers and the work our team puts in every day to push the boundaries of what data management can do.”

“A true pure-play software company with no hardware agenda, Arcitecta holds a distinctive position in the data management market. It delivers a broad range of data services and has introduced unique capabilities not commonly found elsewhere,” said Philippe Nicolas, owner and editor of StorageNewsletter and jury president of the StorageNewsletter Awards 2026. “Although the company operated somewhat discreetly for many years – originating from Australia – it has successfully secured major global enterprises and highly demanding environments worldwide. Its flagship platform, Mediaflux, along with its innovative components, provides modern approaches to managing data at scale. More recently, the team has expanded into AI-driven use cases, offering compelling new methods to efficiently handle large-scale data environments.”

The Mediaflux Data Management Platform
Mediaflux is an advanced, comprehensive data management platform built to operate at massive scale, helping organizations manage their data throughout its entire lifecycle. Its suite of solutions enables organizations to organize, search, share and preserve their data well into the future for lasting value, addressing the full spectrum of modern data management challenges across research, media, enterprise and cloud environments.

The platform delivers an AI-ready data fabric that supports all forms of data and AI models with a built-in vector database within its high-performance XODB® database. The enhancements enable Mediaflux to power AI workflows through unified metadata and vector embeddings, making any structured or unstructured data searchable and usable by AI across areas from cancer research to scientific discovery and well beyond. Unlike traditional solutions that bolt on external vector databases, Mediaflux delivers full metadata and vector search in a single, high-performance system, eliminating the need for a separate vector store.

Mediaflux’s portfolio of solutions includes:

  • Mediaflux Real-Time, which delivers nearly instant access to live data as it is generated and enables real-time editing and remote collaboration
  • Mediaflux Point in Time, a breakthrough backup and recovery approach that provides self-service data recovery to any point in time, even after a ransomware attack, with a recovery time objective (RTO) of zero and a recovery point objective (RPO) near zero
  • Mediaflux Livewire, a file transfer solution that leverages metadata to optimize data movement across low-bandwidth and unreliable networks
  • Mediaflux Universal Data System, which unifies data management, orchestration, multi-protocol access and storage in a single platform for on-premises and cloud environments
  • Mediaflux Multi-Site, Mediaflux Edge and Mediaflux Burst, which enable geographically dispersed teams to collaborate efficiently and ensure data reaches the right user at the right location at the right time
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