# Nasuni Buys DryvIQ, Its Second 2026 Deal, to Bundle Data Governance By Alex Index · 2026-09-01 · Deals & Funding · https://datacommenter.com/nasuni-buys-dryviq-its-second-2026-deal-to-bundle-data-governance/ About the author: Cross-beat data-industry correspondent. Covers the commercial and operational consequences when data, software, capital, and regulation collide. > Nasuni acquired unstructured-data governance vendor DryvIQ on August 31, 2026, its second acquisition of the year after buying sync-and-edge vendor Resilio in April, folding content classification for DryvIQ's 1,100-plus customers… Original reporting: [IT Pro](https://www.itpro.com/business/acquisition/nasuni-expands-unstructured-data-platform-with-dryviq-acquisition) _AI-assisted commentary, editorially reviewed. Quoted excerpts belong to the original outlet._ Why is a cloud file-storage vendor buying a data-governance company for the second time in five months? Because Nasuni has decided the fastest way to sell “AI-ready data” is to stop being a storage layer and start being the whole stack — sync, edge, and now classification — under one roof, one contract, and one undisclosed price tag. The DryvIQ deal, following February’s partnership and April’s Resilio acquisition, is less a product launch than a roll-up: Nasuni is buying the pieces enterprises have historically stitched together from separate vendors, which is exactly the pain point chief product officer Nick Burling cited in the announcement. The evidence for that reading holds up, but it also exposes a strategic fork in the broader unstructured-data market. Komprise, a direct Nasuni competitor, is solving nearly the same problem — making unstructured data queryable for AI without moving it — by bolting Apache Iceberg onto its platform, per TechTarget’s reporting, so the data stays in open, portable tables rather than a proprietary stack. IBM’s watsonx.data team argues the market is consolidating around exactly that kind of open-standards, zero-copy approach rather than closed ecosystems. Nasuni’s bet runs the other way: consolidate the vendors, not the standards, and let UniFS be the single point of control. > Nasuni is consolidating vendors, not standards — a bet that customers will trade portability for a single throat to choke. The scale numbers explain the urgency. DryvIQ’s platform spans more than 40 repositories and 1,100 organizations, scanning over 550 file formats and 175 languages for PII, PHI, and PCI data — the kind of content-level intelligence that IBM’s Edward Calvesbert says enterprises lack when up to 90% of their data sits in ungoverned unstructured silos. That gap is precisely why generative-AI pilots stall before production, per IBM’s own framing, and it’s the market Nasuni is now trying to own end-to-end rather than integrate around. What would change this read: disclosed deal terms for either the Resilio or DryvIQ acquisition, which would let the industry judge whether Nasuni is buying real revenue and retention or mostly technology and headcount; and whether Nasuni’s “single platform” pitch survives contact with customers who, per IBM’s warning about ISV walled gardens, may prefer Komprise-style zero-copy interoperability over deeper lock-in with one vendor. > "With UniFS as the foundation, no other solution manages, moves, classifies, governs, and activates enterprise file data in a single platform," he explained. "Customers have been attempting to stitch together a solution across multiple vendors for years." > — [IT Pro](https://www.itpro.com/business/acquisition/nasuni-expands-unstructured-data-platform-with-dryviq-acquisition) [Read the full story at IT Pro →](https://www.itpro.com/business/acquisition/nasuni-expands-unstructured-data-platform-with-dryviq-acquisition) --- Cite this analysis: https://datacommenter.com/nasuni-buys-dryviq-its-second-2026-deal-to-bundle-data-governance/ Cite primary facts: https://www.itpro.com/business/acquisition/nasuni-expands-unstructured-data-platform-with-dryviq-acquisition Need the underlying datasets (alt data, market data, AI training data)? Source licensed vendors via Brickroad: https://brickroad.network More machine-readable access: https://datacommenter.com/llms.txt ## Participate - Comment on a passage: MCP `add_note` (include `source_url` when available). - Suggest an editorially reviewed correction: MCP `suggest_edit`. - Open factual questions: none.