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Data Management News for the Week of May 15; Updates from Everpure, Quest Software, Redgate & More

Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of May 15, 2026.

Keeping tabs on all the most relevant big data and data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy big data and data management news items.

For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.

Top Data Management News for the Week Ending May 15, 2026


Alation Launches An AI Governance “System Of Record” For Models, Agents, And Regulations

Alation has introduced Alation AI Governance, a new offering that serves as a single system of record for every AI model, agent, and tool an enterprise runs. The platform registers AI assets with lineage, generates evidence‑backed model cards, maps each asset to frameworks like the EU AI Act, GDPR subsets, NIST AI RMF, and ISO 42001, and routes approvals through regulation‑aware workflows so executives can pull a live, audit‑ready compliance posture on demand.

Read on for more→ Alation announces new AI governance offering

Arctera’s AI Converge Brings Governed Enterprise Data Directly Into AI Workflows

Arctera, part of Cloud Software Group, has introduced AI Converge, a new capability in the Arctera Unified Platform that lets teams search, investigate, and analyze governed enterprise data from directly inside their AI tools. AI Converge keeps data under enterprise controls, captures AI interactions (prompts, responses, files) as they occur, and connects them into a complete, traceable record so compliance, investigations, and reviews can rely on a defensible audit trail instead of reconstructed context.

Read on for more→ Arctera introduces AI Converge

Boomi And Couchbase Pair Connectivity And Vector‑Native Operational Data For Enterprise AI Agents

Boomi and Couchbase are partnering to help enterprises move AI agents from pilot to production by combining Boomi’s connectivity, runtime, and governance with Couchbase’s operational data, recollection, and vector capabilities. The companies will co‑engineer solutions that connect live systems, provide trusted semantic retrieval, and expose governed connectivity across AI tools, with Boomi highlighting Boomi Connect, Boomi AI Gateway, and a catalog of over 1,000 managed MCP‑enabled tools in its announcement.

Read on for more→ Boomi and Couchbase partner to power enterprise AI agents

CockroachDB Brings Distributed SQL To IBM Power And IBM Cloud For Mission-Critical Modernization

Cockroach Labs is making CockroachDB available in the IBM Cloud catalog and supporting it on IBM Power processor‑based systems, giving IBM customers a PostgreSQL‑compatible distributed SQL database within their existing ecosystem. Enterprises running on IBM Power and IBM Cloud can now modernize mission‑critical workloads incrementally, deploying CockroachDB across IBM VPC and Power Virtual Server while consuming it under existing IBM Cloud agreements and support models to align with hybrid and multicloud strategies.

Read on for more→ CockroachDB brings distributed SQL to IBM Power and IBM Cloud

Enterprise Vault Launches As A Sovereign-Ready Archiving Platform For Modern Data And AI

A new Enterprise Vault platform (distinct from legacy products with the same name) has launched as a complete modern archiving solution built for data sovereignty, control, and legal certainty. It focuses on giving organizations fine‑grained retention, governance, and jurisdictional controls across communications and content archives so they can meet evolving regulatory, AI‑safety, and evidentiary requirements while still enabling secure search and retrieval.

Read on for more→ Enterprise Vault launches modern archiving platform

Equinix Pushes Data Sovereignty Down Into The Network Itself

Equinix is globally expanding Equinix Fabric Geo Zones, a network‑level sovereignty enforcement layer that keeps traffic and data within defined geographic boundaries across hybrid multicloud environments. Instead of relying on per‑cloud settings, Geo Zones makes geography a property of the network path—traffic either stays on compliant routes or is blocked—so a bank, for example, can run real‑time multi‑cloud transactions while ensuring regulated data never leaves the EU.

Read on for more→ Equinix puts enterprises in control of data sovereignty

Everpure: Pure Storage Rebrands And Doubles Down On AI-Era Data Management

Pure Storage has officially rebranded as Everpure, signaling its shift from selling flash arrays to delivering a broader data management platform built for AI and governance. Alongside the new name, Everpure is acquiring AI-powered data discovery startup 1touch so it can look “inside the data” to classify, map, and govern information across environments—positioning the company as a foundation for compliant, AI-ready data rather than just high-performance storage.

Read on for more→ Pure Storage becomes Everpure

Foxit DMS Aims To Replace Document Chaos With One Lifecycle-Centric Platform

Foxit has launched Foxit DMS, an integrated document management system that unifies storage, editing, e‑signing, and governance to tackle “document chaos.” The cloud‑based platform offers centralized repositories, metadata and OCR search, versioning, check‑in/check‑out, and retention policies, fully integrated with Foxit PDF Editor and Foxit eSign, helping organizations cut document retrieval times, reduce tool sprawl by up to 30%, and create a single source of truth for business‑critical documents.

Read on for more→ Foxit launches integrated DMS

Gartner: If You Skip Semantics, Your AI Agents Get Dumber And More Expensive

A new Gartner brief warns that enterprises deploying AI agents without a semantic layer—business concepts, relationships, and meaning—are seeing inaccurate outputs and wasted AI spending. Gartner argues that grounding agents in semantic models and knowledge graphs tied to trusted data sources is now a prerequisite for reliable autonomous behavior, because agents operating only on raw tables and unstructured text are far more likely to hallucinate, mis-route actions, and drive up token and infrastructure costs.

Read on for more→ Gartner says lack of semantics causes inaccurate AI agents and wasted spending

Graphon AI Raises $8.3M To Build A “Pre‑Model Intelligence Layer” That Replaces Context Windows With Structured Memory

Former Amazon and Meta scientists have launched Graphon AI with $8.3 million in seed funding to build a pre‑model intelligence layer that turns raw multimodal data into persistent, relational memory for enterprise AI. By organizing data into structured graphs and long‑lived memory instead of shoving ever‑more tokens into context windows, Graphon aims to help foundation models reason over connected systems at scale, improving accuracy and reducing hallucinations on complex enterprise workloads.

Read on for more→ Graphon AI raises $8.3M for pre‑model intelligence

MIT Tech Review + EDB: Sovereign AI Leaders Are Getting 5x The ROI

A new MIT Technology Review Insights report with EDB finds that organizations “deeply committed” to AI and data sovereignty—controlling data, infrastructure, models, and governance—are delivering 5x the ROI on generative and agentic AI compared to peers. With more than half of enterprises already running autonomous agents in production, the report argues sovereignty has become the strongest predictor of AI success, not model choice, because control over where data lives and where models run now shapes both risk and value.

Read on for more→ AI sovereignty and enterprise ROI

NetApp Leans Further Into Intelligent Data Infrastructure For AI

NetApp is updating its intelligent data infrastructure and AI Data Engine to remove data bottlenecks for AI projects, building on its co‑engineered stack with NVIDIA. The enhancements focus on providing a secure, unified AI data platform that can prepare, move, and serve data efficiently to GPU clusters, so enterprises can scale GenAI and analytics without building bespoke pipelines for each workload.

Read on for more→ NetApp expands intelligent data infrastructure for AI

Quest Turns Its Trusted Data Management Platform Into An AI-Ready Modeling And Governance Hub

Quest Software is expanding its Trusted Data Management Platform with Quest Data Modeler and Quest Data Intelligence, aiming to give data teams one governed foundation that spans how data is modeled and how it is accessed. The new cloud‑native modeler brings collaborative, AI‑assisted data modeling with shared business definitions across modern stacks like Microsoft Fabric, Databricks, and Snowflake, while Quest Data Intelligence layers in AI‑powered cataloging, lineage, policy, and assistant‑driven workflows so organizations can build reusable, governed data products that are ready for analytics and AI out of the box.

Read on for more→ Quest adds Data Modeler and Data Intelligence to its trusted data platform

Redgate: Hybrid Database Sprawl Has Finance Teams In Constant Audit And Compliance Fire Drills

Redgate’s 2026 State of the Database Landscape: Finance Edition finds that 81% of finance organizations faced a compliance audit in the past 12 months, as hybrid database complexity reaches a breaking point. With 42% of finance firms now running in a permanent hybrid model and over a third juggling four or more database platforms, teams report rising risk, slower change delivery, and growing pressure to standardize tooling and processes before AI and automation make the blast radius even larger.

Read on for more→ 81% of finance orgs hit by audits as hybrid database complexity spikes

SAP + Snowflake Make SAP Business Data And Semantics A First-Class Citizen In The AI Data Cloud

SAP and Snowflake have made their bidirectional, zero‑copy integration generally available so customers can bring semantically rich SAP Business Data Cloud products directly into the Snowflake AI Data Cloud—and push insights back—without ETL or data duplication. SAP Business Data Cloud Connect for Snowflake gives near real‑time access to modeled SAP data (inventory, sales, finance, etc.) alongside other enterprise and external data, providing the governance, semantics, and context AI agents need and allowing teams to build agents on Snowflake Cortex in minutes.

Read on for more→ SAP and Snowflake zero‑copy integration for enterprise AI

Scality ADI Promises Autonomous, Open-Code Data Infrastructure For AI At Multi-Petabyte Scale

Scality has introduced Scality ADI (Autonomous Data Infrastructure), a sustainable, AI-era data platform that layers an AI-powered operations engine called Guardian on top of Scality’s object storage to deliver self‑optimizing storage at multi‑petabyte to exabyte scale. ADI unifies flash, disk, and other media under one namespace with policy-driven lifecycle management and exposes an MCP extensibility model so customers can plug in their own AI tools, while shipping as open‑code software with outcome‑based SLAs tailored to large enterprises, governments, and sovereign environments that demand inspectability and long-term resilience.

Read on for more→ Scality ADI: Autonomous data infrastructure for enterprise AI

Expert Insights

Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

Insight Jam and Donald Farmer Launch Waitlist for New Mesh Expert Group on the Last Mile: Analytics Leadership in the Age of AI

Over twelve monthly sessions, a cohort of just eight senior analytics and BI leaders works through the practical and strategic dimensions of leading in an AI-augmented environment.

The sessions build progressively: early months establish a framework for where human judgment remains indispensable; middle months address the operational pressures, data quality, governance, the proliferation of shadow AI tools, and conversational interfaces that complicate deployment in real organizations; later months turn toward team development, role evolution, and a planning horizon of two years.

Join the waitlist on Insight Jam

The Editors Lens: The Universal Semantic Layer is Becoming the Control Pane for Enterprise AI by Tim King

Enterprise AI adoption is accelerating quickly, but it’s clear organizations continue to struggle with what some leaders now describe as the “AI trust gap.” As AI become more deeply embedded into operational workflows, enterprises are discovering that access to data alone is not enough to ensure reliable outcomes, especially as AI requires consistent interpretation, governed access, and trusted context across increasingly distributed environments.

Read on Solutions Review

Information Gain Series: Why Data is Like Fire: The AI Accountability Crisis No One Talks About

During a recent episode of Insight Jam, Solutions Review President Doug Atkinson sat down with Sujay Dutta to discuss one of the least understood realities of the AI era: most organizations are attempting to scale artificial intelligence on top of data foundations that were never designed for real-time AI execution.

Read on Solutions Review

Information Gain Series: AI Governance in Cybersecurity Has a Leadership Problem

This is the central argument that emerged from a recent episode of The Cyber Circuit podcast on Insight Jam, featuring former CISO Manju Mude and cybersecurity advisor Michael Morgenstern. The conversation is worth your time. But the conclusions it surfaces point to a broader structural problem that deserves sustained editorial attention.

Read on Solutions Review

Solutions Review Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI

Solutions Review has officially surpassed 250,000 subscribers on YouTube, a milestone that’s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy centered on authoritative videohuman-led insight, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.

Read on Solutions Review

Solutions Review Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI

Artificial intelligence is everywhere—but understanding its human impact has never been more urgent. That’s where Solutions Review‘s latest newsletter, The Human-AI Ledger, comes in. Designed to chronicle how AI is reshaping the way we learn, work, lead, and live, this newsletter explores the soft side of AI—the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.

Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.

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How One Solutions Review Article Reshaped AI Answers Across an Entire Software Category

Something just happened in the AI search landscape that most companies will miss. But the ones who understand it will have a multi-year advantage. In January, Solutions Review recorded a 324 percent increase in media domain citations across AI answer engines in less than 30 days.

Read on Solutions Review

For consideration in future data management news roundups, send your announcements to the editor: tking@solutionsreview.com.

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