Data Management
Top Stories
-
News
06 Oct 2026
New Precisely capabilities address common AI development hurdles
The vendor's AI Studio and unified data management suite are designed to simplify development on top of a trusted data foundation Continue Reading
-
News
05 Oct 2026
Governance teams now emphasize data, AI enablement
In some organizations, data governance programs are now focusing more on enabling employees and AI systems to use data effectively than on controlling its use. Continue Reading
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
Feature
17 Mar 2026
Good governance key to reducing high AI project failure rate
Better governance of cutting-edge applications and the data that feeds them are key to overcoming development obstacles, Databricks exec Craig Wiley said in a recent interview. Continue Reading
-
Feature
17 Mar 2026
SLM vs. LLM: Rightsize data architecture to optimize AI use
It doesn't need to be a binary choice. Enterprises are warming up to smaller AI models to meet compliance and cost needs while reserving large models for complex jobs. Continue Reading
-
News
12 Mar 2026
Qdrant raises $50M in funding to fuel vector database growth
With VCs cautious about investing in data management providers, the financing, which will be used for R&D and go-to-market initiatives, serves as validation of the vendor's vision. Continue Reading
-
Tip
10 Mar 2026
Build trust on a federated governance model
Follow this practical blueprint to adopt a modern data governance approach that aligns people, processes and platform to deliver measurable results from AI across the business. Continue Reading
-
Opinion
10 Mar 2026
Why agentic AI demands both structured and unstructured data
Agentic AI must access both structured and unstructured data to reason effectively. Converging these data types is the defining operational challenge for enterprise AI in 2026. Continue Reading
-
News
09 Mar 2026
Alation automates governance with latest AI-powered suite
Outcome-based governance, including the newly launched Curation Automation, turns time-consuming data management tasks over to agents and could be a differentiator for the vendor. Continue Reading
-
News
09 Mar 2026
Teradata updates vector indexing suite to aid AI development
New capabilities including hybrid search and support for multi-modal embeddings are aimed at helping users access the data needed by agents and other cutting-edge applications. Continue Reading
-
Feature
09 Mar 2026
15 top data catalog software tools to consider using in 2026
Organizations can use numerous tools to build and manage data catalogs. Here are 15 prominent ones that data leaders should consider for their data management needs. Continue Reading
-
Guest Post
09 Mar 2026
Key requirements for data and analytics governance platforms
Successful governance platforms require business and IT alignment, user-friendly design and scalable architecture to tie governance to measurable outcomes. Continue Reading
-
News
09 Mar 2026
CData targets development success with Connect AI update
The vendor's latest launch takes a three-pronged approach toward helping users move pilots into production and could be a competitive differentiator if it delivers on its promise. Continue Reading
-
Feature
04 Mar 2026
Data governance responsibilities now belong in the C-suite
To improve business outcomes, leadership must move beyond IT controls and adopt a playbook that treats data as a shared enterprise asset with clear roles and policies. Continue Reading
-
News
04 Mar 2026
Insightsoftware unifies semantic layer, governance to aid AI
With many enterprises struggling to develop AI tools, the vendor's Simba Intelligence feature set is designed to feed agents and other applications trustworthy, transparent data. Continue Reading
-
Feature
03 Mar 2026
AI data governance guidance that gets you to the finish line
As organizations dive into AI adoption, many realize the first real bottleneck is not the model but how to prepare their information so it can be used effectively in AI workflows. Continue Reading
-
Feature
02 Mar 2026
How executives can build a responsible AI framework
Building a responsible AI framework requires governance policies, accountability structures, compliant infrastructure and clear metrics to ensure AI systems operate as intended. Continue Reading
-
News
26 Feb 2026
Confluent adds A2A support to fuel multi-agent AI networks
Including the open protocol enables users to build an orchestrated network of collaborative agents and could help the vendor distinguish itself from its closest competitors. Continue Reading
-
Feature
26 Feb 2026
18 top big data tools and technologies to know about in 2026
Numerous tools are available to use in big data applications. Here are 18 popular open source big data technologies, with details on their key features and use cases. Continue Reading
-
Opinion
25 Feb 2026
Real-time data streaming for AI: invest where it matters
Don't let batch processing lead to missed opportunities. Build AI systems for continuous data flows that deliver instant decisions, change outcomes and justify the cost. Continue Reading
-
Feature
25 Feb 2026
Operational resilience is a benchmark for executive success
Operational resilience is emerging as an executive benchmark as regulations, board scrutiny and compliance mandates drive the need for measurable KPIs and accountability. Continue Reading
-
Tip
24 Feb 2026
How cyber insurance requirements reshape backup architecture
From immutable backups to air-gapped copies, these requirements reflect the growing need for organizations to prove they can recover from an incident -- or risk losing coverage. Continue Reading
-
News
24 Feb 2026
Web data search specialist Nimble raises $47M to fuel growth
By raising funding when AI developers are dominating VC interest, the startup shows that there is a need for agents and other AI tools to include context from external sources. Continue Reading
-
News
23 Feb 2026
New Databricks tool targets streaming data cost, complexity
With Zerobus Ingest, the vendor is providing a service that differentiates it from competitors by reducing the tools required to ingest real-time data to its lakehouse platform. Continue Reading
-
Tip
20 Feb 2026
Experts share practices to overcome AI data readiness
Enterprise AI ambitions can stumble without strong data fundamentals. Here's how to pick, organize and maintain data so systems behave reliably and projects move to production. Continue Reading
-
Feature
19 Feb 2026
Data and AI governance must team up for AI to succeed
AI applications won't produce reliable results -- and could create compliance and business ethics risks -- without strong data governance processes underpinning them. Continue Reading
-
Tip
18 Feb 2026
How to secure sensitive data when offboarding employees
Establish a multi-phased approach that turns a risky situation into a managed process with several departments working in coordination to ensure a smooth exit. Continue Reading
-
News
18 Feb 2026
Streaming specialist Redpanda adds governance to AI suite
New Agentic Data Plane features enable users to create a governance layer for agents and could help the vendor differentiate itself from its closest competitors. Continue Reading
-
Opinion
17 Feb 2026
The future of AI depends on better data, not bigger models
AI's competitive advantage is shifting from model scale to data quality. Organizations that invest in governance and infrastructure build more reliable, defensible systems. Continue Reading
-
News
17 Feb 2026
Graphwise aims to boost AI accuracy with GraphRAG launch
With standard RAG pipelines proving unreliable, the vendor's new feature uses knowledge graphs to add needed context to the data retrieval process that fuels AI outputs. Continue Reading
-
News
17 Feb 2026
SurrealDB raises $23M, launches update to fuel agentic AI
Though funding isn't flowing as freely into data management as it once was, the startup is attracting interest by focusing on enabling customers to unify data for AI development. Continue Reading
-
Tip
13 Feb 2026
How to cut data loss risks when employees leave
How an employee leaves influences what data they might take. Organizations can implement several practical methods to protect code, client information, and other assets. Continue Reading
-
Feature
10 Feb 2026
What executives look for in a data quality platform
Data quality strategy now functions as a governance and risk discipline, with executives weighing metrics, ROI accountability and data trust as indicators of enterprise reliability. Continue Reading
-
Tip
10 Feb 2026
Residual access failures put data at risk
Stop breaches that start with orphaned accounts. This guide identifies offboarding weak spots and gives leaders a practical checklist to close gaps fast and prove compliance. Continue Reading
-
News
09 Feb 2026
PII masking a differentiator for Aerospike's NoSQL database
By adding native protection of personally identifiable information, the vendor is simplifying system administration while simultaneously pushing the NoSQL market. Continue Reading
-
News
05 Feb 2026
Databricks launches PostgreSQL Lakebase to aid AI developers
Resulting from the $1B acquisition of Neon, the database built for AI workloads -- including separate compute and storage -- is now integrated with the vendor's broader platform. Continue Reading
-
News
04 Feb 2026
Pentaho update aids data integration, semantic modeling
The vendor's latest platform update aims to speed, simplify and better govern workloads to help customers build a trusted foundation for AI development. Continue Reading
-
News
03 Feb 2026
Snowflake launches new AI tools, unveils OpenAI partnership
New features such as an agent-powered code generator and automated semantic modeling simplify developing cutting-edge applications and improve the vendor's competitive standing. Continue Reading
-
Tip
02 Feb 2026
9 metadata management standards that guide success
Organizations looking to implement metadata management can choose from existing standards that support archiving, sciences, finance and other digital resources. Continue Reading
-
Feature
30 Jan 2026
Building a strong data analytics platform architecture
Data analytics platforms are crucial for information-driven enterprises. With the right architecture, organizations can gain meaningful insights and gain a competitive edge. Continue Reading
-
News
28 Jan 2026
Alteryx launches in-warehouse data prep tool for BigQuery
Live Query for BigQuery eliminates the need to move data between systems, saving customers from spending on data egress and reducing the risk of security leaks. Continue Reading
-
Feature
27 Jan 2026
Modernized big data architecture a must for AI to deliver
Many enterprises put AI into production in 2025 but found their legacy data stacks stalled progress. See what it takes to modernize big data systems for better AI results. Continue Reading
-
Opinion
27 Jan 2026
The trust-at-speed paradox: Most data governance wasn't built for AI
Agentic AI operates autonomously, exposing gaps in governance, data quality and accountability. Executives must address these limits to manage risk and move AI into production. Continue Reading
-
News
27 Jan 2026
Teradata's AgentStack aims to simplify building, managing AI
Featuring capabilities for developing, deploying and governing agents, the vendor's new suite addresses many of the problems enterprises face when trying to launch agentic systems. Continue Reading
-
News
27 Jan 2026
New Snowflake suite simplifies data, AI for energy sector
Energy Solutions joins the vendor's spate of industry-specific offerings and includes partner-built applications and pre-modeled datasets that accelerate data-driven initiatives. Continue Reading
-
Feature
23 Jan 2026
Data Technologies outlook on 2026: The year of data is here
Data will be the backbone of success in 2026. As AI reshapes data management, organizations must balance innovation with ethics, governance and high-quality data to thrive. Continue Reading
-
Feature
21 Jan 2026
Modern data architectures as a risk management strategy
As organizations modernize their data systems, architecture choices will determine how risk is governed, disruptions are absorbed, and regulatory obligations are managed over time. Continue Reading
-
News
20 Jan 2026
ScyllaDB adds vector search to managed database platform
The feature's direct integration in the X Cloud platform is aimed at simplifying AI development by eliminating the need for customers to add specialized databases. Continue Reading
-
News
15 Jan 2026
ScyllaDB X Cloud update addresses database cost, performance
Features such as autoscaling and advanced compression are designed to help customers reduce spending on their data management, analytics and AI initiatives. Continue Reading
-
News
15 Jan 2026
MongoDB launches latest Voyage models to aid AI development
With many enterprises struggling to build advanced applications, new embedding and reranking models improve data retrieval to make agents and other tools more effective. Continue Reading
-
Feature
13 Jan 2026
How data lineage became a boardroom metric
Data lineage has moved beyond a technical function, becoming a board-level signal of how well organizations govern, audit and explain their data across complex environments. Continue Reading
-
Feature
12 Jan 2026
The top 2026 data conferences to plan enterprise strategy
This guide lists events that can help data leaders assess how AI fits into their current architecture and identify improvements needed to meet future data demands. Continue Reading
-
Feature
09 Jan 2026
Top trends in big data for enterprises in 2026
As AI systems mature, organizations must evaluate models, infrastructure and governance frameworks that balance cost, compliance and performance this year and beyond. Continue Reading