Data Management
Top Stories
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Opinion
31 Jul 2026
AI value comes from continuous learning, not automation
The companies pulling ahead in AI aren't doing it by deploying more tools. Rather, they're building the data foundations that make intelligence reusable, scalable and reliable. Continue Reading
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Tip
31 Jul 2026
Integrate structured and unstructured data for better AI outputs
For AI agents to give the most accurate, informed responses, organizations must provide them with all the facts. Even those that are hidden in an old email or customer claim. Continue Reading
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Feature
30 Jul 2026
York's data governance program eyes capabilities, not control
York University has focused its data governance program more on solving data quality, access and trust issues for end users than on controlling their data use. Continue Reading
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Tip
29 Jul 2026
Is your data infrastructure ready for the zettabyte era?
AI initiatives are driving demand for curated, controlled data. Leaders must move beyond capacity planning and build the governance and quality practices that make data usable. Continue Reading
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Feature
29 Jul 2026
The CDO's new role is curating context for data governance
Agentic AI demands that CDOs move beyond cataloging to curating the context AI systems retrieve, creating a new accountability layer for data governance. Continue Reading
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News
29 Jul 2026
Nimble launches agents to cull relevant web data for AI
The vendor's Web Search Agents autonomously learn domain-specific use cases to help enterprises collect contextually relevant information for AI and analytics. Continue Reading
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News
29 Jul 2026
Potential consequences are severe when AI agents lack context
When connected with relevant context, agents can increase organizational efficiency and reduce spending. When left to guess, they can cause significant harm. Continue Reading
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News
28 Jul 2026
Data management vendors race to connect AI with context
With agents requiring situational awareness to be accurate, connecting AI with relevant data and business logic has been an almost singular focus throughout 2026. Continue Reading
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News
27 Jul 2026
Context is king as agents evolve, but problems persist
Awareness enabled by appropriate data and business logic is one of the differences between agentic applications that properly perform and those that never reach production. Continue Reading
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Tip
24 Jul 2026
How data mesh supports AI-ready data architectures
Data mesh can improve data access for AI initiatives by decentralizing ownership and governance, but it doesn't solve every data challenge. Continue Reading
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Opinion
24 Jul 2026
AI doesn't need an unstructured data dump -- move what matters
Bulk data migration pushes out AI timelines. Data leaders should invert the process: classify and catalog first, then move only relevant content to reduce delays and costs. Continue Reading
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Tip
24 Jul 2026
The 5 pillars of data observability
Data observability provides complete oversight of an organization's data pipeline. Use the 5 pillars of data observability to ensure efficient, accurate data operations. Continue Reading
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News
23 Jul 2026
New Oracle AI database targets cost, data residency concerns
The tech giant's latest offering is a scaled-down version of its Exadata platform and helps differentiate its lineup of databases from those of competing providers. Continue Reading
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Opinion
23 Jul 2026
Data governance fails without CFO ownership
Without CFO ownership, data governance stays underfunded and unenforceable. Finance leadership ties governance to audit controls and budget accountability. Continue Reading
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Feature
23 Jul 2026
8 proactive steps to build trusted data for analytics and AI
Trusted data is even more critical as AI use increases. These eight steps will help data leaders build a strong foundation for effective analytics and AI applications. Continue Reading
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Tip
22 Jul 2026
CDO challenges that hinder data-driven initiatives
Chief data officers must turn AI ambition into measurable value. These eight issues show where data strategies break down -- and how leaders can respond. Continue Reading
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News
20 Jul 2026
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. Continue Reading
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Tip
17 Jul 2026
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. Continue Reading
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Feature
16 Jul 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. Continue Reading
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Tip
15 Jul 2026
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. Continue Reading
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News
15 Jul 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. Continue Reading
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Tip
14 Jul 2026
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. Continue Reading
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News
14 Jul 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. Continue Reading
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Feature
09 Jul 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. Continue Reading
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Tip
09 Jul 2026
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. Continue Reading
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Guest Post
06 Jul 2026
Unstructured data is the bottleneck for agentic AI success
Ungoverned, unstructured data blocks enterprises from scaling agentic AI. Contracts, transcripts and internal documents hold the context agents need but can't yet reach. Continue Reading
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Opinion
01 Jul 2026
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. Continue Reading
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Feature
30 Jun 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. Continue Reading
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Opinion
30 Jun 2026
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. Continue Reading
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Opinion
30 Jun 2026
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. Continue Reading
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News
30 Jun 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. Continue Reading
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News
30 Jun 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. Continue Reading
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News
24 Jun 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. Continue Reading
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Opinion
23 Jun 2026
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. Continue Reading
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News
23 Jun 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. Continue Reading
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News
23 Jun 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. Continue Reading
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Feature
22 Jun 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. Continue Reading
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News
17 Jun 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. Continue Reading
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News
17 Jun 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. Continue Reading
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Feature
15 Jun 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. Continue Reading
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News
11 Jun 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. Continue Reading
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Feature
08 Jun 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. Continue Reading
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Feature
08 Jun 2026
Why enterprise AI depends on the semantic layer
Semantic layers are moving from BI tools into the core analytics stack as AI agents query enterprise data, requiring governed definitions for consistent interpretation. Continue Reading
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News
04 Jun 2026
Neo4j's GraphAware acquisition targets new customer segment
The purchase adds analysis capabilities for government agencies that work on top of the vendor's graph database, expanding its target audience to include analysts. Continue Reading
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Feature
04 Jun 2026
Big data integration techniques and best practices to adopt
Data integration in big data systems is even more complex now because of AI. To succeed, it requires a strategy built on new approaches and strong data management. Continue Reading
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Opinion
04 Jun 2026
Context is the make-or-break layer for AI in production
Your AI model might not be the reason it fails in production. Missing or unclear context throws off the model, leading to untrustworthy outputs that the business can't act on. Continue Reading
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News
02 Jun 2026
Microsoft boosts Fabric to make it a foundation for AI
New features that feed agents contextually relevant data add breadth to the platform and keep its data and AI capabilities current in a competitive market. Continue Reading
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News
02 Jun 2026
Snowflake barrage adds more AI development, analysis tools
A streaming data service and tools that provide agents with contextual awareness highlight the latest from the vendor as it constructs a foundation for agentic enterprises. Continue Reading
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News
01 Jun 2026
Fivetran, DBT Labs complete merger to form data layer for AI
The combined capabilities of the newly formed company provide the infrastructure, including data integration and preparation, for agents and other cutting-edge applications. Continue Reading
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News
28 May 2026
New Starburst platform extends AI to distributed data
The vendor's approach to developing agents and other cutting-edge applications eliminates the time, cost and risks of moving data and could be a competitive differentiator. Continue Reading
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Feature
27 May 2026
Why AI forces security-first governance
AI systems fail quietly through drift, biased outputs and degraded judgment. A security-first governance approach gives leaders the visibility and continuous control to scale AI safely. Continue Reading
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Opinion
26 May 2026
Data observability for AI helps curb poor model performance
Data quality issues get amplified in AI applications. Models can produce confident -- but misleading -- forecasts and conclusions without observability safeguards. Continue Reading
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Tip
22 May 2026
10 big data challenges and how to address them
Big data initiatives pose various challenges for data leaders and teams. Here are 10 common ones and advice on overcoming them to ensure deployments are successful. Continue Reading
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Feature
20 May 2026
Evolving Alteryx focusing on AI-ready data, logic for agents
As the vendor grows to meet changing customer needs, CEO Andy MacMillan says its goals have expanded beyond its data prep roots to include connecting agents with proper context. Continue Reading
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News
20 May 2026
Latest Alteryx features aim to boost AI-powered automation
Capabilities include an MCP server and a tool that helps transform trusted data and logic into agents, with potential differentiation lying in the empowerment of business users. Continue Reading
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News
20 May 2026
Informatica update aims to provide trust foundation for AI
Agents that continuously perform master data management tasks and a headless architecture for data management improve access to data that can be trusted to inform outputs. Continue Reading
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News
19 May 2026
Latest from Confluent streamlines use of streaming for AI
A fully managed MCP server and machine learning-powered data privacy capabilities aid customers attempting to move real-time AI applications into production. Continue Reading
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Opinion
18 May 2026
Tracing data lineage in AI systems
Data lineage records how data moves through AI pipelines, turning model debugging, impact analysis and audits into queries rather than manual investigations. Continue Reading
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Feature
15 May 2026
Data sovereignty expands beyond compliance boundaries
Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for jurisdictional risk, resilience and recovery. Continue Reading
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Opinion
13 May 2026
Understanding data contracts for AI projects
AI models fail silently when upstream data shifts. Data contracts prevent this by making schema, semantics and quality a binding agreement between producers and consumers. Continue Reading
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Feature
13 May 2026
Power-constrained data architecture curbing AI ambitions
Rising power demands and grid interconnection delays are hampering enterprise AI efforts and altering data strategies, workload placement and resilience planning. Continue Reading
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Tip
11 May 2026
Top 10 vector database use cases across industries
Vector databases have become the standard infrastructure for enterprise AI work. These 10 use cases for vector databases show where the technology delivers practical value. Continue Reading
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News
11 May 2026
Alation intros AI governance suite to ensure compliance
As enterprises launch agents and other cutting-edge applications into production, remaining compliant with evolving regulations is challenging. Continue Reading
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News
08 May 2026
MongoDB adds new vector, performance capabilities to aid AI
With enterprise data workloads feeding AI pipelines, the longtime database vendor is evolving -- along with competitors -- by building capabilities for cutting-edge development. Continue Reading
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Feature
08 May 2026
Data governance metrics: Measure success, identify issues
Implementing a data governance program isn't enough. Data leaders also need to track and analyze various metrics to evaluate its effectiveness and address shortcomings. Continue Reading
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Feature
08 May 2026
Govern citizen development to avoid data pipeline downtime
Low-code/no-code and vibe coding require data leaders to shift from gatekeepers to architects of trust to maintain data integrity and keep pipelines running reliably. Continue Reading
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News
07 May 2026
Teradata's latest targets putting agentic AI into production
As many enterprises prepare to move past experimenting with agents, the vendor's new platform is purpose-built to help users move pilots into production. Continue Reading
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Feature
06 May 2026
Build a data governance team that delivers results
Regulations, AI and jumbled implementation oversight weaken decision-making. A dedicated team can help bring structure, accountability and consistent outcomes. Continue Reading
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News
04 May 2026
SAP acquisitions of Dremio, Prior Labs target AI development
The tech giant's latest purchases add a data lakehouse that enables users to access data across systems and tabular foundation models that fuel predictive AI. Continue Reading
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News
29 Apr 2026
Qdrant boosts performance, reliability to meet AI needs
As customers look to move past experimentation and put pilots into production, the vendor's new features better prepare its platform for modern enterprise workloads. Continue Reading
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Feature
28 Apr 2026
How agentic AI governance tackles data, security challenges
AI agents promise real gains -- and pose real risks. Enterprises that move fast without first tightening governance controls might struggle to prevent rogue behavior. Continue Reading
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News
28 Apr 2026
Actian targets secure, compliant AI with new vector database
The vendor's portable database enables organizations in heavily regulated industries to build AI tools without risking accidental data exposure or regulatory violations. Continue Reading
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Tip
24 Apr 2026
How to develop a data governance strategy: 7 key steps
A strong data governance strategy enables more effective data use and helps prevent financial, legal and reputational problems. Follow these steps to develop one. Continue Reading
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Tip
24 Apr 2026
The data ownership blind spots putting organizations at risk
Organizations can't claim to have good data governance when they still have unowned data. Assigning ownership to siloed and dark data is critical to enterprise success. Continue Reading
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Opinion
23 Apr 2026
Why enterprise AI stalls between pilot and production
Most enterprise AI programs stall between pilot and production. Closing the operationalization gap requires trusted data, built-in governance and open interoperability. Continue Reading
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Feature
22 Apr 2026
Controlling data sprawl requires governance discipline
Data sprawl drives higher infrastructure costs, expands security exposure and weakens compliance controls as data proliferates faster than governance can scale. Continue Reading
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News
22 Apr 2026
Google unveils data cloud purpose built for agentic AI
Features including a Knowledge Catalog and cross-cloud lakehouse are aimed at enabling customers to deploy multi-agent systems and could be a competitive edge for the tech giant. Continue Reading
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News
21 Apr 2026
Snowflake updates further goal of being control pane for AI
Agentic capabilities that execute workloads based on natural language prompts and access to new data sources facilitate the vendor's ambition to become a hub for agentic systems. Continue Reading
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News
20 Apr 2026
Redis unveils Feature Form to improve AI, ML workloads
Unified batch and streaming pipelines and multi-tenant capabilities that allow teams to isolate work in shared database instances highlight new ML management environment. Continue Reading
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Feature
20 Apr 2026
Reconsider the AI readiness gap in data and analytics
The AI readiness gap is widely framed as temporary, but examining it across three distinct enterprise layers suggests it might be more permanent than the market suggests. Continue Reading
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Tip
17 Apr 2026
How to develop an enterprise data strategy: 12 key steps
Here are 12 to-do items for data leaders developing a data strategy to help their organization use data more effectively for analytics and business decision-making. Continue Reading
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Feature
17 Apr 2026
Data quality, fast failures and quick wins key to AI success
Despite many organizations struggling to realize value from their development initiatives, best practices can help, according to industry experts at Domo's annual user conference. Continue Reading
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Tip
15 Apr 2026
6 key components of a successful data strategy
These six elements are essential parts of an enterprise data strategy that will help meet business needs for information when paired with a solid data architecture. Continue Reading
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Feature
14 Apr 2026
Hybrid search demands reshape retrieval frameworks for AI
As AI workloads mature, enterprises face multiple data platform choices to improve search and retrieval capabilities while meeting governance and operational demands. Continue Reading
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News
14 Apr 2026
Starburst intros AI assistant to boost analysis, exploration
Built with capabilities that enable it to reason, act and observe, AIDA improves on text-to-SQL translation tools to provide contextually aware query responses. Continue Reading
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Opinion
13 Apr 2026
Converged architecture is enterprise AI's missing foundation
Fragmented AI infrastructure fails in production. Converged data architecture with unified governance offers the path to reliable, scalable enterprise AI. Continue Reading
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Tip
08 Apr 2026
Data governance regulations that executives should know
Growing national and international regulatory compliance demands aim to protect consumer data. Organizations must adhere to regulations or face noncompliance risks. Continue Reading
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News
08 Apr 2026
Snowflake broadens open-source embrace, ups Iceberg support
To make data more interoperable across systems and usable for AI, the vendor is participating in projects that address data quality, integration, governance and discovery. Continue Reading
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Feature
08 Apr 2026
Data governance for AI requires a cross-functional approach
AI systems create risks that span data, security and model integrity. A cross-functional governance model distributes ownership without creating silos. Continue Reading
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Tip
07 Apr 2026
AI, analytics push data-in-use protection up priority list
As sensitive data moves into AI pipelines, organizations must evaluate how to protect it during processing and what safeguards IT platforms provide for data in use. Continue Reading
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Feature
01 Apr 2026
Why enterprise AI initiatives fail without governance
Enterprise AI pilots succeed in controlled conditions but collapse when scaling exposes the accountability, ownership and explainability gaps that governance was meant to prevent. Continue Reading
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News
31 Mar 2026
Redpanda launches streaming engine optimized for AI
By integrating workload types, the vendor is simplifying data streams for AI while also differentiating itself from its closest competitors. Continue Reading
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Feature
27 Mar 2026
Data domain ownership, data mesh chart path to AI-ready data
That AI initiative won't get off the ground without timely, reliable data. Bringing technology and team practices into sync reduces delays and boosts data readiness. Continue Reading
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Feature
26 Mar 2026
How big data collection works: Process, methods, challenges
Before big data can be used in analytics and AI applications, data teams must collect it from various sources. Here's how to create and manage an effective collection process. Continue Reading
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Opinion
24 Mar 2026
The database is the new battleground for enterprise AI
Agentic AI puts new pressure on enterprise databases, exposing gaps in the data access, security enforcement and tooling fragmentation that block production deployment. Continue Reading
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News
24 Mar 2026
Oracle AI Database update aims to ease developing agents
New vector indexing capabilities and prebuilt agents are designed to simplify building cutting-edge applications and could help differentiate the tech giant from competitors. Continue Reading
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Feature
23 Mar 2026
Q&A: The gap between AI ambitions and data readiness
Ataccama CEO Mike McKee discusses why most organizations aren't ready for AI, why ROI failures are largely a people problem and what the data management industry keeps overlooking. Continue Reading
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Tip
20 Mar 2026
Understanding the layers of the AI‑ready modern data stack
Data infrastructure and practices need an upgrade for the AI era. A modern data stack takes a layered approach that aligns teams and delivers governed, trusted data. Continue Reading
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Feature
19 Mar 2026
How to build an effective big data strategy
Big data initiatives won't deliver business benefits without a comprehensive strategy to guide data management and analytics work. Here's how to build one. Continue Reading
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Tip
18 Mar 2026
Data lineage documentation matters for enterprise reliability
Data lineage is critical to enterprise success. Tracing a data asset's journey through pipelines helps improve data quality, speeds up corrections and builds trust in analytics. Continue Reading
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Feature
18 Mar 2026
12 top open source databases for enterprise use
Open source databases offer viable alternatives to proprietary systems. This guide offers 12 popular options across relational, NoSQL and source-available technologies. Continue Reading
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News
18 Mar 2026
Snowflake intros SnowWork to automate tasks with AI
The platform, which is now in research preview, is designed to provide users with agent-powered collaboration capabilities that can automate actions and workflows. Continue Reading