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Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of March 20, 2026.<\/strong><\/em><\/p>\n 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.<\/p>\n For early access to all the expert insights published on Solutions Review<\/em>, join Insight Jam<\/em><\/a><\/strong><\/span>, a community dedicated to enabling the human conversation on AI.<\/p>\n Archive360 And EVT Automate Retention Compliance For Regulated Data<\/strong><\/p>\n Archive360 and EVT have teamed up to automate retention compliance by embedding policy enforcement directly into enterprise data and AI governance workflows. The solution gives organizations centralized control over retention policies, automated enforcement tied to regulation, and fast access to records for legal and compliance teams. The partnership is aimed at highly regulated industries that need defensible controls, less manual intervention, and better alignment between storage costs and data value.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/www.prnewswire.com\/news-releases\/archive360-and-evt-partner-to-automate-retention-compliance-using-enterprise-data-and-ai-governance-302715662.html<\/span><\/a><\/span><\/p>\n EDB Puts Postgres At The Center Of An Agentic Workforce Stack<\/strong><\/p>\n EDB is accelerating Postgres for the agentic workforce era with GPU-accelerated analytics, high-speed retrieval, and sovereign deployment options built around EDB Postgres AI. The company says the platform can deliver up to 100x performance improvements for interactive analytics, helping enterprises avoid \u201cdata ping-pong\u201d across disjointed platforms while supporting autonomous agents that reason and act on real-time data. EDB frames its stack as an enterprise-ready foundation for organizations moving from generative AI pilots into production agentic workflows.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/finance.yahoo.com\/news\/edb-accelerates-postgres-agentic-workforce-203200061.html<\/span><\/a><\/span><\/p>\n Hammerspace Launches A New AI Data Platform On NVIDIA Reference Design<\/strong><\/p>\n Hammerspace has launched an AI data platform based on NVIDIA\u2019s reference design, using NVIDIA AI Enterprise components to simplify data orchestration for inference, RAG, and agentic AI. The platform converges data management and orchestration across heterogeneous storage so enterprises can automate indexing, governance, and security across the full AI pipeline. Hammerspace is aiming to give organizations a production-ready data foundation that works across accelerated computing and existing storage estates.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.morningstar.com\/news\/business-wire\/20260316701813\/hammerspace-launches-ai-data-platform-based-on-nvidia-reference-design-available-now<\/span><\/a><\/p>\n Hitachi Vantara Expands Hitachi iQ To Cover More Of The Agentic AI Stack<\/strong><\/p>\n Hitachi Vantara is adding AI blueprints, multi-agent coordination in Hitachi iQ Studio, expanded NVIDIA infrastructure options, and deeper data integration to its Hitachi iQ portfolio. The update is aimed at helping enterprises build and govern agentic AI in on-premises and virtualized environments while keeping data close to compute and maintaining control over security and sovereignty requirements. Hitachi positions the portfolio as a validated infrastructure stack that connects accelerated compute, storage, and software for production AI.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.hitachivantara.com\/en-us\/news\/gl260316<\/span><\/a><\/span><\/p>\n IBM And NVIDIA Expand Their Enterprise AI Stack Across Data, Cloud, And Regulated Infrastructure<\/strong><\/p>\n IBM and NVIDIA announced an expanded collaboration at GTC 2026 to help enterprises operationalize AI at scale, with work spanning GPU-native analytics, intelligent document processing, on-prem deployment, and sovereign\/regulatory controls. The companies say the limiting factor is no longer model availability but the data, infrastructure, and governance layers needed to run AI reliably in production. IBM plans to bring NVIDIA Blackwell Ultra GPUs into IBM Cloud and integrate the collaboration into Red Hat AI Factory with NVIDIA so customers can run GPU-heavy AI workloads with enterprise compliance and residency controls.<\/p>\n Read on for more\u2192\u00a0https:\/\/newsroom.ibm.com\/2026-03-16-ibm-and-nvidia-announce-expanded-collaboration-at-gtc-2026-to-advance-ai-for-the-enterprise<\/span><\/a><\/span><\/p>\n IDERA 14.0 Adds AI Tuning To Turn SQL Monitoring Into Performance Guidance<\/strong><\/p>\n IDERA\u2019s SQL Diagnostic Manager 14.0 is now generally available with AI-powered query optimization and workload-aware index recommendations for SQL Server. The new workflows let DBAs feed in slow queries and receive suggested index changes aimed at improving workload performance while avoiding unnecessary index bloat and write overhead. IDERA is positioning the feature as a practical step from passive observability toward guided tuning, while keeping recommendations advisory so teams still make the final call.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.prnewswire.com\/news-releases\/idera-announces-general-availability-of-sql-diagnostic-manager-14-0–introducing-ai-powered-query-and-workload-index-optimization-for-sql-server-302719146.html<\/span><\/a><\/p>\n NetApp AIDE Adds Governed AI Data Management With NVIDIA Under The Hood<\/strong><\/p>\n NetApp has launched NetApp AI Data Engine, a secure, unified AI data platform stack co-engineered with NVIDIA and built on the NVIDIA AI Data Platform reference design. The platform creates an automated metadata catalog for file content, continuously enriches metadata, and enables discovery and governance without moving data, while extending to hybrid cloud and multimodal workloads later this year. NetApp says the goal is to remove the data bottlenecks that keep enterprise AI from reaching production, while giving customers a governed foundation for agentic workflows.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.netapp.com\/newsroom\/press-releases\/news-rel-20260316-181478\/<\/span><\/a><\/span><\/p>\n Redgate Debuts Monitor SaaS To Reduce Infrastructure Overhead For Mixed Database Estates<\/strong><\/p>\n Redgate has launched Monitor as a SaaS edition, giving teams a fully managed cloud version of its database monitoring platform. The service supports SQL Server, PostgreSQL, Oracle, MySQL, and MongoDB, while a lightweight agent stays on-prem to collect telemetry and Redgate handles hosting, upgrades, and maintenance. Redgate is aiming at organizations standardizing on SaaS for internal tools but still needing broad database coverage and less operational burden.<\/p>\n Read on for more\u2192\u00a0https:\/\/itbrief.com.au\/story\/redgate-unveils-saas-edition-of-its-database-monitor<\/span><\/a><\/span><\/p>\n Snowflake Launches Project SnowWork To Put Outcome-Driven AI In Front Of Business Users<\/strong><\/p>\n Snowflake\u2019s Project SnowWork is a research preview that brings autonomous, outcome-driven AI directly to business users through a desktop-style interface tied to the Snowflake AI Data Cloud. The experience is designed to let employees ask for outcomes\u2014like automating reporting, synthesizing data across sources, or generating ready-to-share materials\u2014without having to bounce between analysts, dashboards, and disconnected tools. Snowflake is positioning SnowWork as a step beyond insight generation, with AI that can move from intent to action while keeping enterprise data, governance, and controls in the loop.<\/p>\n Read on for more\u2192\u00a0https:\/\/www.snowflake.com\/en\/news\/press-releases\/snowflake-launches-project-snowwork-bringing-outcome-driven-ai-to-every-business-user\/<\/span><\/a><\/p>\n ZEDEDA Turns Edge Infrastructure Into A Governed AI Runtime<\/strong><\/p>\n ZEDEDA has launched what it calls the industry\u2019s first Edge Intelligence Platform, designed to create, secure, and operate edge and physical AI at scale. The platform provides governance, workflows, audit trails, and fleet orchestration so enterprises can deploy AI closer to the real world without relying on the cloud for every decision loop. ZEDEDA is positioning the launch as a response to the limits of cloud-first architectures in latency-sensitive industrial and distributed environments.\u200b<\/span><\/p>\n Read on for more\u2192\u00a0https:\/\/finance.yahoo.com\/news\/zededa-unveils-industry-first-edge-191600769.html<\/span><\/a><\/span><\/p>\n What to Expect at Mini Jam, Q1 2026: The Skills Reckoning on March 31<\/b><\/p>\n All-in, Mini Jam Q1, 2026 provides an unparalleled opportunity to gain insights, engage with experts, and stay at the forefront of the conversation on the human impact of AI. Be sure to\u00a0register for free at\u00a0Insight Jam<\/em><\/a><\/strong>\u00a0to watch all the sessions live or on demand.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n How One Solutions Review<\/em> Article Reshaped AI Answers Across an Entire Software Category<\/b><\/p>\n 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,\u00a0Solutions Review<\/em>\u00a0recorded a 324 percent increase in media domain citations across AI answer engines in less than 30 days.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Insight Jam<\/em> is Getting Set to Host Donald Farmer for the Expert Briefing: The Last Mile to AI & Why Analytics Leadership Matters on March 31<\/strong><\/p>\n While AI can generate insights at unprecedented speed and scale, it cannot verify those insights against business reality, interpret them within organizational context, or take accountability when decisions go wrong. That responsibility still belongs to people. In this live Insight Jam<\/em> session, Donald Farmer introduces the concept he calls the last mile<\/i>: the critical gap between AI-generated output and trustworthy business action.<\/span><\/p>\n Register free on LinkedIn<\/a><\/p>\n Thought Leaders: Cloud AI Innovators Teach Us to Modernize Our Teams, Architecture & Governance by Kevin Petrie<\/strong><\/p>\n This blog, the second in a two-part series, builds on our earlier\u00a0profile<\/a>\u00a0of organizations that run full AI projects on a single cloud platform. We call them Cloud AI Innovators, and they have a knack for driving business results with production AI. Cloud AI Innovators teach us three guiding principles: (1) foster cross-functional teamwork, (2) streamline architecture, and (3) strengthen governance. Let\u2019s explore each principle in turn.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n The Editors Lens: The AI-Native Data Management Stack & How Data Infrastructure is Evolving in Real-Time<\/strong><\/p>\n With the rise of agentic AI systems that rely on continuous access to high-quality, well-structured, and context-rich data, the role of data management is expanding rapidly. Instead of simply storing and delivering data, modern platforms are being re-architected to actively support AI systems that must understand, reason over, and act on that data in real time. In this new paradigm, data management is no longer a back-end function. It is becoming the foundation of enterprise intelligence.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Contributor Series: DataGovOps – The Unsung Hero in Achieving AI-Ready Data by DataOps.live’s Guy Adams<\/strong><\/p>\n To quickly recap from my earlier piece, the quality of AI is based in large part on the quality of your data. Bad data equals bad AI. Having unsuitable data is not the only way that AI projects can go off the rail, but it\u2019s certainly a big one. Research has identified about 200 metrics that can be used to measure the AI-readiness of data. These metrics span six categories, including data quality, data for AI training, data governance, data semantics, data management and operationalization, and data interoperability.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n –<\/p>\n Insight Jam<\/em> Launches Mesh Lab Episode 2 to Build a Framework for Work & Learning in the Age of AI: The Human Advantage<\/strong><\/p>\n Insight Jam<\/em> Mesh Lab is a year-long, monthly series of expert-led discussions<\/a><\/strong><\/span> dedicated to exploring and shaping the next generation of frameworks for work and learning in the age of AI. Rather than reacting to tools or trends, Mesh Lab is designed to initiate a sustained, cross-sector conversation about how human capability itself must be re-architected as AI becomes embedded across education, enterprise, and leadership.<\/p>\n Watch on Insight Jam<\/em><\/a><\/p>\n Solutions Review <\/i>Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI<\/b><\/p>\n Solutions Review<\/em>\u00a0has officially surpassed\u00a0250,000 subscribers on YouTube<\/a><\/strong>, a milestone that\u2019s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy\u00a0centered on authoritative video<\/a><\/strong>,\u00a0human-led insight<\/a><\/strong>, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.<\/p>\n Read on Solutions Review<\/em><\/a><\/p>\n Solutions Review<\/em> Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI<\/strong><\/p>\n Artificial intelligence is everywhere\u2014but understanding its human impact has never been more urgent. That’s where Solutions Review<\/em>‘s latest newsletter, The Human-AI Ledger<\/i><\/a><\/strong><\/span>, 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\u2014the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.<\/span><\/p>\nTop Data Management News for the Week Ending March 20,<\/strong> 2026<\/strong><\/h2>\n
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<\/a>Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam<\/em>, Solutions Review’s enterprise tech community<\/a><\/strong><\/span> 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.<\/p>\n