How DataOps.live’s 2025 ISG DataOps Buyer’s Guides Performance Signals the Future of DataOps Automation

AI’s mainstreaming has shifted something fundamental in the world of data. Data professionals have been pushing the importance of data quality for years, but now organizations are seeing very clearly that their AI initiatives fail without it. This shift has placed an unprecedented spotlight on DataOps as a discipline and, more specifically, DataOps automation technology.  

It is no longer just “good enough” to have data pipelines that “work.” They must be automated, governed, observable, testable, and able to scale across teams, environments, and use cases.  

ISG’s 2025 DataOps Buyer’s Guides back tell exactly that story. It’s why DataOps.live is rated #1 in DataOps Capabilities and earned some of the highest ratings in the market across the other four categories, too: Data Pipelines, Data Orchestration, Observability, and Data Products. 

The Market Shift Toward AI-Ready Data 

Organizations are recognizing that data for AI has very different requirements than data for analytics. AI systems require data that is continuously tested, continuously monitored, deeply governed, and delivered through automated, repeatable processes. They depend on pipelines and data products that behave predictably and adapt to change. They require operational rigor, not artisanal pipeline craftsmanship. 

This demand has pushed the entire industry toward more automated, more governed, and more systematized approaches to DataOps. DataOps.live has been building toward this shift for years, standardizing CI/CD for data, building governance-as-code principles directly into the platform, expanding observability, and enabling data products as first-class assets. 

As a result, when organizations began accelerating their AI ambitions, they increasingly needed what DataOps.live was already doing, and the 2025 ISG results reflect that alignment. 

A Year of Meaningful, Measurable Progress 

Across the board, DataOps.live’s scores rose in 2025, not due to cosmetic repositioning, but because the platform has grown significantly in the areas that matter most to modern data teams. 

Our largest improvements came in capability and innovation, where organizations saw firsthand how automation, reproducibility, and governance-as-code accelerate their ability to deliver trustworthy, AI-ready data products. 

ISG’s scores tell this story clearly: 

• DataOps Capability: increased from 69.8 to 86.3, extending our lead over major incumbents from six to thirteen points. 
• Data Pipelines: rose from 78.3 to 89.5, maintaining our position as the highest-capability solution and moving into ISG’s Exemplary category. 
• Data Orchestration: grew from 77.7 to 88.8, earning a Leader position for the first time. 
• Data Products: climbed from 71.3 to 84.1, reflecting deep industry momentum toward product-oriented data delivery. 
• Data Observability: strengthened from 69.0 to 79.0, continuing our Exemplary status with notable gains in innovation. 

Taken together, these numbers paint a consistent picture: DataOps.live is advancing faster than the market around it, and that advancement directly corresponds to the evolving needs of organizations building AI-ready data foundations. 

Why the Numbers Moved: The Rise of AI-Ready DataOps 

Behind the scenes, the biggest driver of our ISG momentum has been a focused investment in capabilities that align perfectly with the emerging demands of AI-driven enterprises. 

Over the past year, we strengthened: 

• Automation across the entire lifecycle. 
  Teams can now promote pipelines, deploy changes, test code, and govern environments with minimal manual intervention. This reproducibility is essential for AI pipelines that must be validated continuously and operate at high velocity. 
• Data products as the unit of delivery. 
  Organizations are shifting from monolithic pipelines to modular, governed, and reusable data products. This aligns directly with how AI workloads consume data and how enterprises scale their AI investments. 
• Continuous observability. 
  Detecting anomalies, monitoring drift, and understanding runtime behavior are foundational for AI systems that must be monitored and corrected as they learn. Our deeper observability capabilities map directly to this need. 
• Governance embedded as code. 
  Policies once captured in documents are now enforced automatically across environments and pipelines, providing the trust required for responsible AI adoption. 
• Environment management and repeatability. 
  AI workloads must be tested across consistent environments. Automated environment creation and teardown have become indispensable. 

These capabilities are not just “nice to have.” They are becoming the minimum required for operationalizing AI. And their expansion directly contributed to our improved ISG scores, because organizations can see and measure the outcomes. 

A Turning Point for the Industry and for DataOps.live 

The 2025 ISG Buyer’s Guide doesn’t just reflect where DataOps.live stands today. It reflects where the market is going. As organizations mature their AI strategies, they are realizing that AI-ready data requires the very things DataOps.live has been building toward from the beginning: automation, observability, governance, scalability, and reproducibility. 

This year’s results show that the industry is catching up to that vision and recognizing the value of a platform purpose-built to operationalize AI-ready data. 

Our momentum is real, measurable, and aligned with what enterprises now require. And while we’re proud of the progress highlighted in the 2025 ISG report, we see it as only the beginning. 

The AI era is here! 
The demand for AI-ready data will only intensify. And DataOps.live will continue evolving, with automation at the core, to lead the industry into its next chapter. 

Take your first step to AI-ready data today.

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