Data Management News for the Week of February 13; Updates from Astronomer, Nutanix, Semarchy & More

Solutions Review Executive Editor Tim King curated this list of notable data management news for the week of February 13, 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.

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Top Data Management News for the Week Ending February 13, 2026

Aerospike Database 8: Native Dynamic Data Masking for Real-Time PII Protection

Aerospike Database 8 now includes native Dynamic Data Masking (DDM), enabled by default, to mask PII at the database layer for all users and machine identities except those explicitly granted privileges. This removes the need for app-layer masking logic or external tokenization services, simplifying compliance while preserving Aerospike’s low-latency behavior for AI and transactional workloads where regulated data must be accessed safely in real time.

Read on for more → https://aerospike.com/press-release/dynamic-data-masking/

Cisco expands AgenticOps across networking, security, and observability

Cisco is rolling out its AgenticOps model—autonomous, guardrailed AI operations—across campus, branch, industrial, data center, and service provider domains, adding agentic capabilities to platforms such as Catalyst, Meraki, Nexus One, XDR, and Crosswork AI. New features include early detection and prescriptive remediation for data center networks (controlled availability June 2026) and cross-domain, multi-vendor event correlation in service provider environments, pushing operations toward autonomous, outcome-driven workflows.

Read on for more → https://newsroom.cisco.com/c/r/newsroom/en/us/a/y2026/m02/cisco-expands-agenticops-innovations-across-portfolio.html

Cloudera Extends AI Inference and Unified Data Access Deeper Into the Data Center

Cloudera has expanded Cloudera AI Inference, Cloudera Data Warehouse with Trino, and Cloudera Data Visualization to on-premises environments so customers can run AI and analytics next to their most sensitive data rather than exporting it to public cloud. The updates streamline SSO-based admin, unify access across cloud, edge, and data center, and aim to give enterprises more control, security, and performance for AI workloads that must stay close to regulated or latency-sensitive data.

Read on for more → https://www.cloudera.com/about/news-and-blogs/press-releases/2026-02-09-cloudera-unveils-next-phase-of-ai-inferencing-and-unified-data-access-capabilities.html

Experian + Snowflake AI Data Cloud: Data Quality and Governance Where the Data Lives

Experian has integrated its Aperture Data Studio with Snowflake’s AI Data Cloud so customers can design data quality and governance workflows in Experian while executing them directly inside Snowflake, without moving data. The joint solution lets organizations profile, transform, validate, and catalog data within Snowflake’s secure perimeter, creating a trusted, compliant foundation for AI agents and analytics while unifying data quality and governance efforts at scale.​

Read on for more → https://www.experianplc.com/newsroom/press-releases/2026/experian-announces-integration-with-snowflake-s-ai-data-cloud

HPE: Only 5% Are Ready for the “Great Virtualization Reset”

New HPE research shows more than two-thirds of enterprises plan significant changes to their virtualization strategy within two years, but only 5% say they are fully ready, underscoring a major execution gap. While licensing costs are a factor, fewer than 1 in 10 cite them as the primary driver; instead, the shift is driven by AI readiness, performance, and the need for a more flexible hybrid operating model, with budget constraints, complexity, migration risk, and skills gaps slowing progress.

Read on for more → https://www.hpe.com/us/en/newsroom/press-release/2026/02/new-research-finds-only-5-of-enterprises-are-fully-ready-for-the-great-virtualization-reset.html

Immuta–Teradata: Policy-Driven Access Control for VantageCloud and VantageCore

Immuta now integrates with Teradata VantageCloud and VantageCore so data teams can register Teradata views in Immuta and have Immuta’s subscription policies automatically enforced as grants and revokes on those views. This lets organizations define fine-grained, role- and attribute-based access once in Immuta and apply it consistently across Teradata and other platforms, reducing manual admin overhead while keeping access auditable and aligned with central IAM.

Read on for more → https://www.immuta.com/blog/immuta-teradata-integration/

JumpCloud: The AI Maturity Illusion—Most Orgs Lack a Safe Scaling Foundation

JumpCloud’s Q1 2026 IT Trends Report finds 40% of IT leaders self-assess as AI-mature, yet only 22% meet rigorous criteria for AI readiness, leaving 78% without the foundational identity, access, and infrastructure needed to scale safely. While 90% see productivity gains from AI, 74% remain worried about security risks, and the report warns that fragmented identity and access controls—especially as shadow AI and autonomous agents proliferate—make it impossible to secure AI without first unifying IT.

Read on for more → https://jumpcloud.com/press/the-ai-maturity-illusion-78-of-organizations-lack-the-foundation-to-scale-safely

Leah and PwC UK team up to design agentic operating models for GBS

Leah, creator of Leah Agentic OS for contract lifecycle management and workflows, has partnered with PwC UK to design and deploy agent-driven operating models across Global Business Services functions. The collaboration combines PwC’s domain and process expertise with Leah’s coordinated AI agents so clients can move from pilot projects to scaled, agentic operating models that re-architect shared services around end-to-end outcomes rather than fragmented tasks.

Read on for more → https://leahai.com/press-releases/pwc-uk-leah-agentic-operating-models

Matia Raises $21M to Unify AI-First Data Operations and Build an “AI Data Engineer”

Matia has closed a $21 million Series A round led by Red Dot Capital Partners, bringing total funding above $31 million to scale its unified, AI-native data operations platform. The platform combines data ingestion, observability, cataloging, reverse ETL/activation, and an emerging AI “data engineer” that can automate pipeline creation, anomaly detection, and impact analysis—helping customers like Lemonade treat data infrastructure with the same reliability expectations as production apps while reducing tool sprawl.

Read on for more → https://finance.yahoo.com/news/matia-raises-21m-series-scale-130000260.html

Semarchy: More Flexible, Self-Hosted Data Platform for AI and MDM

Semarchy has expanded its Semarchy Data Platform with a full self-hosted deployment option (on‑prem or customer cloud), plus an Accelerator Marketplace and enhanced consulting services. Customers can now run the same governed MDM and data product capabilities as in SaaS and Snowflake-native modes while meeting sovereignty and compliance needs and fast-tracking AI and data initiatives with prebuilt accelerators.

Read on for more → https://finance.yahoo.com/news/semarchy-expands-semarchy-data-platform-140500262.html

Snorkel: Closing the Evaluation Gap in Agentic AI With Open Benchmarks

Snorkel argues that our ability to build agentic AI has outpaced our ability to reliably measure it, creating an “evaluation gap” that public leaderboards alone cannot fix. Through a $3 million Open Benchmarks Grants initiative and new work on long-horizon tasks, world-modeling, non-stationary environments, and multi-artifact outputs, Snorkel calls for benchmarks that better mirror real-world agent workloads and nuanced rubrics that assess correctness, robustness, and human uplift—not just single-step accuracy.​

Read on for more → https://benchmarks.snorkel.ai/closing-the-evaluation-gap-in-agentic-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.

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 video, human-led insight, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.

Read on Solutions Review

The Digital Analyst with John Santaferraro: The 7 Foundations of AI Success with Shawn Rogers

John welcomes back Sean Rogers, CEO of BARC USA, to break down findings from BARC’s second global AI adoption research study (conducted with the legendary Merv Adrian). Unlike the flood of 2026 predictions, this research offers a fact-based look at what actually happened when enterprises deployed AI over the past 18 months, and what separates the 20% of leaders from everyone else.

Watch on YouTube

Thought Leaders: Who is Sitting in My Seat, Said the CDO/CAIO? by Samir Sharma

It’s time we stop wasting our most strategically valuable leaders on tactical work. The CDO and CAIO roles were never meant to be permanent platform buyers, program managers, or glorified data plumbers. Yet too many organizations have anchored them there heads down in tooling decisions while the business asks why AI pilots never translate into value.

Read on Solutions Review

Thought Leaders: Rise of the Meta Catalog: Integrating Metadata for AI Innovation by Kevin Petrie

The data catalog is like a restaurant menu: it organizes food for AI. But the meta catalog is like DoorDash because it aggregates menus to expand choice and reach. AI adopters now embrace this concept. They combine catalogs into meta catalogs that organize wide-ranging metadata across the enterprise, expanding options and enriching inputs for AI projects. This blog explores new primary research about this trend and assesses the implications for AI innovation.

Read on Solutions Review

Solutions Review is Getting Set to Host Astronomer for the Exclusive Session ‘Stop Reacting, Start Preventing: Observability at the Orchestration Layer’ on February 17

In this webinar, Ashley and Stephanie will share how to enable proactive monitoring by moving observability upstream. You’ll learn how embedding observability into the orchestration layer allows you to: Identify risks before they cascade downstream Eliminate blind spots and get a single control plane for pipeline and data product health and performance Connect data quality failures directly to the pipeline tasks that caused them.

Register on LinkedIn

Solutions Review is Getting Set to Host Nutanix and Northeastern University for the Exclusive Session ‘Cloud-Native for the AI-Powered, Innovation-Ready Enterprise Masterclass’ on February 19

Join us for the Nutanix Cloud Native Masterclass, an exclusive event for C-level executives, where attendees will receive a Certificate of Completion from Northeastern University, recognizing their expertise in cloud native strategies. In this Masterclass we’ll explore how cloud native architecture is reshaping enterprise IT. Unlike traditional monolithic applications — which are slow to evolve, difficult to scale, and operationally complex — cloud native applications are composed of independent, loosely coupled components. Built on microservices, containers, Kubernetes, and API-driven design, they are optimized for dynamic, distributed environments.

Register on LinkedIn

Insight Jam Launches New “Mesh Lab” to Build a Framework for Work & Learning in the Age of AI

Insight Jam Mesh Lab is a year-long, monthly series of expert-led discussions 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.

Watch on YouTube

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