DataGalaxy Blog

The 14 leading data catalogs in 2026: a buyer’s guide based on approach, price, and perception
Evaluating data catalog solutions may sound like a straightforward task, until you’re confronted with multiple options promising similar outcomes in different ways. In addition to the numerous factors you need to consider, there’s also the question of what’s real and what’s overhyped. To help you navigate the process, we’re comparing 14 leading data catalog solutions, […]

The missing layers: Why trust and value decide who wins at enterprise AI
Published in Business Reporter The most expensive line item in enterprise AI is no longer compute – it is the gap between what AI promised and what it is actually delivering. After two years ofpilots, boards have stopped asking what AI can do and started asking what itreturns. By 2027, Gartner forecasts that 80 per […]

Outputs vs Outcomes in AI: The Distinction That Separates Strong Data Leaders from the Rest
A conversation with Paloma, Senior Data & AI Strategist at DataGalaxy Portfolio, on why the most expensive failure in AI today is not a technical one — it is a communication one. There is a question quietly undermining AI programs in every organization right now. It gets asked in CFO reviews, board meetings, and investor […]

Making AI Value Visible: How to Communicate ROI Without Losing Your Audience in the Process
A conversation between Nicolas, Chief Product Officer at DataGalaxy, and Edosa Odaro, author of “The Values of AI” and former consultant for Barclays, Lloyds, AXA, AIG and Allianz, on why most organizations can’t articulate the value of their AI initiatives. Walk into any AI steering committee in 2026 and you’ll hear a familiar pattern: the […]

The AI Accountability Model: Why Explainability Alone Is Not Enough and What Ownership at Decision Time Really Means
A vision from Nicolas, Chief Product Officer at DataGalaxy, on why technical explainability has become a comfortable illusion and how to build an accountability framework that actually keeps pace with AI. For the past few years, the conversation about responsible AI has revolved around explainability. Can the model tell us why it made a decision? […]

Product Update May
This month, we’re rolling out several improvements that give you better visibility into your data, simpler metadata management, and smarter AI-driven experiences. From extended lineage to deeper metadata exploration by AI assistants, these updates help teams understand, use, and trust their data. Generate lineage between Power BI and SQL Server The Power BI connector can […]

Product Update April
At DataGalaxy, every update is designed to help teams move faster with more confidence in their data knowledge. This latest release focuses on three key areas: improving how you interact with your data through Blink, strengthening lineage visibility, and enabling more direct actions from the chatbot. Revisit your conversations with Blink Never lose track of […]

Regain control of your AI portfolio: visibility, cost governance, and lifecycle management
AI investment is accelerating fast, but for most organizations, the biggest blocker to scaling AI isn’t model capability. The biggest blocker for CDAOs and Heads of Data and AI is the lack of organizing their AI investments like an AI portfolio. Fundamentals of portfolio management like visibility, accountability, cost governance, and product lifecycle management. In […]

AI Portfolio Management: The “Ghost Portfolio” Risk in Data & AI Initiatives
At some point in the last eighteen months, you probably ran a meeting to get visibility on what your organization is actually doing in AI. Someone pulled a deck together. A few team leads sent updates. And by the end of it, the original question was still not answered. The uncomfortable part is not that […]

Solvency II compliance in 2026
Solvency II in 2026: a data challenge before anything else In 2026, Solvency II compliance is no longer just a regulatory exercise. It is a data challenge at scale. With the rollout of the 2025-2 directive, insurance and mutual organizations are operating under stricter supervision, expanded reporting requirements, and increased focus on long-term investments and […]

GDPR compliance in 2026: why most companies still fail (and how to fix it)
In 2026, GDPR compliance is no longer a legal checkbox. It is a baseline requirement for operating in Europe. Regulatory authorities, from CNIL in France to Irish and European watchdogs, have significantly increased both the frequency and depth of their audits. What has changed is not just enforcement, but expectations. Organizations are now required to […]

Governance hype vs. business reality: Moving toward trust models
There’s a growing disconnect in many organizations: Governance is talked about as indispensable, yet it’s often treated as a checkbox. Leaders are eager to adopt data and AI strategies, invest in platforms, and hire data governance officers—but often, implementation lags. In this post, we explore Gartner’s finding that while nearly 89% of data and analytics […]

Product Update March
Our latest updates focus on making data governance easier to manage, improving collaboration around data knowledge, and strengthening technical foundations for integrations and lineage. Here is what’s new and what’s coming soon. Enhanced access control management for the dictionary Workspace Admins can now grant permissions to the entire Dictionary at once and automatically include all […]

Product Update February
This latest release sharpens how teams explore metadata, trust AI answers, and keep integrations running without friction. Each update is designed to make data knowledge more accessible, more connected, and more resilient across your ecosystem. Blink now available directly in your browser Blink is now accessible straight from your browser extension. You can explore and […]

Big data vs. smart data: How to turn volume into value in 2026
The evolution of the data landscape has been relentless: data warehouses, big data, data lakes, data fabrics, and now data mesh. Each wave promised better scalability, faster insights, and a competitive advantage. Yet technology alone does not create value. Organizations that truly succeed with data & AI align architecture, governance, and business strategy, starting with […]

DataGalaxy introduces Portfolio to close the AI velocity gap at Gartner Data & Analytics Summit 2026
Orlando, Fla., March 9-11, 2026 – DataGalaxy, a leading provider of data and AI value governance solutions, today announced its expanded positioning to coincide with the Gartner Data & Analytics Summit 2026 in Orlando. As organizations accelerate AI initiatives, many struggle to connect data assets and use cases to business outcomes with clarity, alignment, and trust. […]

DataGalaxy MCP server: now speaks fluent AI
Your AI assistant doesn’t know your data (but it should) You’re working with Claude or another AI assistant on a customer analysis. You ask it to find the right data tables. It suggests tables, sounds confident, and may even generate SQL. The problem: the AI doesn’t know that half those tables are deprecated. It doesn’t […]

Implementing effective data governance in 8 easy steps
Today, organizations recognize the critical role of data governance in managing and leveraging their data effectively. Implementing data governance is essential to ensure data quality, regulatory compliance, and data-driven decision-making. By establishing a solid data governance framework, organizations can unlock the full potential of their data assets and drive business success. This article outlines eight crucial steps to […]

AI and Traditional Data Practices in 2026: What Still Works, What Doesn’t, and What Leaders Are Doing About It
A conversation with Joe Reis, author and host of The Joe Reis Show, on why the unsexy fundamentals of data management have become the most strategic investment leaders can make in 2026. For the past two years, every board meeting started with the same question: what’s our AI strategy. Decks were built. Pilots were funded. […]

DataGalaxy vs Coalesce (2026): From AI Data Catalog to Enterprise Data Governance Platform
As the data governance landscape evolves, organizations often compare DataGalaxy with newer, AI-driven tools like Coalesce. While both aim to simplify data discovery, they serve very different purposes. Quick Verdict: DataGalaxy vs Coalesce Coalesce is designed as a lightweight, AI-assisted documentation tool. DataGalaxy is a full data governance platform built to support enterprise-scale data and […]

DataGalaxy vs Atlan (2026): Choosing the Right Modern Data Governance Platform
When evaluating modern data platforms, DataGalaxy and Atlan are often compared for their cloud-first approach and strong user experience. Both platforms position themselves as modern alternatives to legacy tools. However, they differ significantly in governance depth, business alignment, and scalability. Quick Verdict: DataGalaxy vs Atlan Atlan is a strong contender for technical teams looking for […]

DataGalaxy vs Alation (2026): The Best Data Catalog and Governance Platform for Enterprise Adoption
Choosing between DataGalaxy and Alation is a common step for organizations looking to scale their data governance strategy. While Alation helped define the modern data catalog category, the expectations have changed. Today, data leaders are not just looking for documentation tools. They need platforms that drive adoption, connect data to business use cases, and deliver […]

DataGalaxy vs Collibra (2026): The Modern Data Governance Platform Showdown for Data Leaders
Choosing between DataGalaxy and Collibra is not just a tooling decision. It is a strategic call on how your organization will scale data trust, adoption, and AI readiness. This comparison goes beyond the traditional “data catalog vs data catalog” angle. It highlights a key shift in the market: moving from static data documentation to active […]

Data governance in 2026: Benefits, business alignment, and essential need
In a world where data has become more vital than ever, understanding how to effectively manage and utilize this resource is essential. One approach that continues to gain attention is data governance. The benefits of data governance can impact an organization at multiple levels by driving better decision-making, improving operational efficiency, and fostering regulatory compliance. TL;DR […]

Organizing your data with a data catalog in 3 easy steps: The business need & essential company asset (2026)
Acting as a comprehensive inventory for an organization’s data assets, data catalogs facilitate easy access, understanding, and governance of large datasets. This blog post will delve into the inner workings of data catalogs and explore why they are crucial for modern, data-driven businesses. TL;DR summary A data catalog acts as the single source of truth […]

What is data lineage? Definition, types, and examples
We’ve all been there. You’re standing by the office coffee machine, debating a data glitch with a colleague, and someone throws out the term data lineage. Suddenly, the conversation descends into a confusing mix of technical jargon and blank stares. It’s completely understandable. Data lineage has evolved rapidly over the last few years. It is […]

DataGalaxy’s Auto Description: Documenting your data has never been easier
Smarter documentation. Less manual work. Same trusted governance. Data catalogs are designed to bring clarity, but in practice, they often create clutter instead. The fields are available and the structure exists, but when users try to understand what a dataset means, where it comes from, or how it should be used, they are often faced […]

Data culture: How to build the high-performing, data-driven organization your teams need
More than a buzzword, data culture is the shared mindset and operating system that determines whether your organization treats data as a strategic asset or an untapped byproduct. As data & AI products become central to how companies create value, the need for a mature, governed, and collaborative data culture has never been greater. Summary […]

Gartner’s top 5 data & analytics predictions for new wave data teams in 2026
Did you know that Gartner estimates that by 2026, 90% of current analytics content consumers will become content creators enabled by AI? Leading analytics, research, and expert guidance firm, Gartner, recently shared their thoughts on the future of the data and analytics industry, including understanding how to work with emerging AI tools while ensuring high-quality data […]

Data governance & data quality: Two interconnected foundations of data-driven success (2026)
Data quality and data governance go hand-in-hand, and it’s virtually impossible to have one without the other. So, how does data governance impact data quality, and vice versa? Let’s take a look. TL;DR Data governance and data quality are two sides of the same coin. Governance defines who is responsible for data, how it is managed, and under […]