Data Management: Page
-
Zilliz ups vector search results with Milvus database update
Native access to data lakes and a new data retrieval engine highlight the latest release as the vendor competes for market share amid a crowded field.
By Eric Avidon • July 20, 2026 -
Expert Advice
AI data fabric emerges as a governance layer for agents
The latest take on data fabric architecture promises to help AI agents coexist with existing platforms, but there's some assembly required.
By John Moore • July 17, 2026 -
How agentic AI amplifies data management challenges
AI agents pose new data management challenges and magnify familiar ones. To build a solid agentic foundation, data leaders must plan for these critical challenges.
By George Lawton • July 16, 2026 -
Expert Advice
Data ontologies are foundational for usable AI outputs
Data ontologies strengthen AI outputs with governed definitions across platforms and departments, helping data leaders boost trust and improve decision-making.
By Sean Kerner • July 15, 2026 -
Regatta Data launches unified base for AI with RegattaDB
The database vendor is entering a crowded market with the launch of a database purpose-built for agents by unifying disparate data workloads.
By Eric Avidon • July 15, 2026 -
Expert Advice
How governance as code controls AI agent risk
As more stringent EU AI Act requirements take effect, enterprises need runtime guardrails that control autonomous agents' actions, govern data access and preserve audit evidence.
By Sean Kerner • July 14, 2026 -
Alation launches OS for building, governing AI agents
While not the first AI governance suite, the vendor's Intelligence Operating System is somewhat unique by unifying data, context and agents in one environment.
By Eric Avidon • July 14, 2026 -
What a leadership transition reveals about your data strategy
The failure pattern of a leadership transition reveals what data strategy institutionalization requires. Without it, a data strategy framework is a dependency, not a strategy.
By Jelani Harper • July 9, 2026 -
Expert Advice
How to use AI to enforce data governance policies
AI models and agents can automate data governance policy enforcement for proactive governance in dynamic data environments. But don't forget the human element.
By Anne Marie Smith, Ph.D. • July 9, 2026 -
Opinion // Omdia Analysts' Perspectives
AI agent failures offer hidden value for enterprises
Most agent pilots will never reach production, but these failures can prove useful to data operations. Organizations should look to the 2010s mobile app boom for guidance.
By Stephen Catanzano • July 1, 2026 -
Why Apache Iceberg is the center of attention in data platforms
In a Q&A, consultant Donald Farmer explains why vendors are rushing to support Apache Iceberg and discusses its capabilities and deployment issues for data teams.
By Craig Stedman • July 1, 2026 -
Opinion // Omdia Analysts' Perspectives
Securing data against AI attacks can’t be a side project
The same AI capabilities that power enterprise innovation also give attackers machine-speed access to database vulnerabilities, demanding a shift in how organizations protect data.
By Stephen Catanzano • June 30, 2026 -
Opinion // Omdia Analysts' Perspectives
AI agents push enterprises toward unified data governance
Enterprises facing data sprawl and growing risks from autonomous agents need unified governance and runtime controls to manage agent access and actions they can take.
By Stephen Catanzano • June 30, 2026 -
Couchbase evolution continues with new data layer for AI
New capabilities including Agent Memory and extension to edge devices help the vendor compete for market share as it grows beyond its database roots.
By Eric Avidon • June 30, 2026 -
Latest MongoDB tools tackle top AI development hurdles
New capabilities address the data retrieval accuracy and regulatory compliance issues that often stall initiatives, and could help distinguish the vendor from competitors.
By Eric Avidon • June 30, 2026 -
Agents are altering data security needs, Oracle responds
Traditional strategies that protect infrastructure systems are not enough with agents autonomously accessing data and threat actors using AI to discover new vulnerabilities.
By Eric Avidon • June 24, 2026 -
Opinion // Omdia Analysts' Perspectives
Data modeling is having a moment, and AI is the reason
Data modeling defines how enterprise data is structured and governed, and it has become the foundation for trustworthy AI, cloud migration and compliance.
By Stephen Catanzano • June 23, 2026 -
CData aims to simplify AI development with latest features
New capabilities that reduce data integration tasks and connect data with AI aid developers while helping the vendor carve out a niche amid a competitive landscape.
By Eric Avidon • June 23, 2026 -
Latest EnterpriseDB features unify data for AI development
New capabilities address the data sprawl that sometimes stops enterprises from successfully building agents and could help differentiate the vendor from competitors.
By Eric Avidon • June 23, 2026 -
Which data management costs should survive budget cuts?
Tighter budgets force hard choices about data governance. This breakdown of essential data management costs shows where to cut spending and where cuts create risk.
By Chris Tozzi • June 22, 2026 -
AWS latest to introduce context layer for agentic AI
With context key to agents performing in production, the tech giant's latest new features aim to feed cutting-edge tools the situational awareness they require.
By Eric Avidon • June 17, 2026 -
Databricks intros new Genie, data management tools to aid AI
Features address context for agents, readying data for AI, cost control, security and flexibility to help users overcome problems that prevent pilots from reaching production.
By Eric Avidon • June 17, 2026 -
8 data integration challenges and how to overcome them
Data integration in modern architectures faces eight challenges, from preserving lineage at scale to serving AI and analytics workloads, each explored with practical strategies.
By Donald Farmer • June 15, 2026 -
Databricks intros OpenSharing, a new standard for sharing AI
The open source protocol modernizes collaboration by enabling teams to share AI assets such as AI models and agent skills across domains and with external partners.
By Eric Avidon • June 11, 2026 -
Unstructured data needed, but often untapped, for agentic AI
AI development initiatives hinge on the quality and completeness of the underlying data, but research from BARC shows that many organizations struggle to operationalize key data.
By Eric Avidon • June 8, 2026