By Team Vibe

In a world where data sits at the heart of every decision, every strategy, and every customer interaction, accuracy and trust have become non-negotiable. Businesses may talk endlessly about being “data-driven,” but the truth is, poor-quality data still holds many of them back, slowing progress, creating compliance headaches, and costing opportunities. That’s why Forrester’s Data Quality Solutions Landscape, Q3 2025 feels like more than just another report—it’s a marker of who is actually helping enterprises overcome these challenges in meaningful, measurable ways. And this year, CriticalRiver has been named among the notable vendors on that list.

The recognition is timely.

The Forrester definition of a data quality tool is one that addresses the five aspects of data quality: accuracy, completeness, consistency, reliability, and conforms to business rules, but in practice, a data quality tool is much more than a data quality adjunct—they become the backbone to innovation, agility, and growth. CriticalRiver has created a niche for itself in the data quality space by delivering operational-grade, AI-driven data quality, not in theory, but actually being lived.

They provide the merge of AI-based data engineering/operations, governance frameworks, real-time observability and context-aware automated packaging, that turn unwanted, misshaped data into valid signals that organizations can leverage to take action.

AI is at the core, but CriticalRiver does not use AI as a flash in the pan, but as the underpinning (data quality backbone) for pipelines, eliminating duplication, ensuring consistent and continuous streaming of data across integrated systems.

They accelerate decision-making to be faster, sharper, more confident, but just as importantly, align the development of these tools to the business goal, via everyday instances embedding quality control and intelligence into everyday tasks that don’t leave data as an afterthought, but brings data at the front to streamline efficiencies, engagement, and generate revenue.

And then there is trust. In a moment in which leaders cannot afford to second-guess their numbers, CriticalRiver relies heavily on observability and decision-intelligence—being able to monitor flows in real-time, identify anomalies, and expose insights into their data before they are problems.