The Forrester Wave™: Data Quality Solutions, Q1 2026
Data quality solutions have evolved from basic cleansing and monitoring tools into strategic platforms that underpin enterprise AI, analytics, and digital transformation initiatives. Modern solutions enable effective data observability, intelligent remediation, and AI-driven automation for all types of data. Data readiness, access, and quality are the biggest challenges organizations face in scaling AI and agentic AI initiatives. The ability to deliver trusted, high-quality, and context-rich data across diverse systems and pipelines is mission-critical in the race to operationalize generative and agentic AI.
No common features specified.
Vendors must, among other requirements:
A: This research covers the evaluation of 10 data quality solutions vendors across three categories: current offering, strategy, and customer feedback. It assesses vendors' capabilities in data profiling and classification, cleansing and remediation, monitoring and observability, anomaly detection, data validation and rule management, reference data management, privacy and security, metadata governance, multimodal data support, integration and connectivity, deployment options, scalability, user experience, collaboration workflows, and advanced AI-driven capabilities. The report also evaluates vendors' vision, innovation, roadmap, partner ecosystem, adoption programs, and supporting services.
A: This research should be used by data quality solutions customers who are evaluating vendors for purchase decisions. It is particularly valuable for organizations looking to: build strong foundations with deep profiling and classification; drive data integrity through extensive observability and automated anomaly detection; and support multimodal data formats and ecosystems. The research helps buyers compare vendors based on their current offerings, strategic direction, and customer satisfaction, and provides guidance on which vendors are best suited for specific organizational needs and use cases.
A: All vendors included in this evaluation must provide: (1) Broad enterprise-level support with all core data quality functions natively and a demonstrated track record for large enterprises; (2) A standalone product available for purchase with its own SKU and pricing, not just as a free feature; (3) At least $25 million in annual revenue from their data quality solution; (4) Substantial mindshare among Forrester's enterprise clients through frequent mentions in inquiries, advisories, and consulting engagements; and (5) Recognition as a competitor by other vendors in the market.
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A: Strength of Offering (vertical axis) evaluates the current capabilities of each vendor's data quality solution, including technical features like profiling, cleansing, monitoring, validation, multimodal data support, and user experience. It focuses on what the product delivers today. Strength of Strategy (horizontal axis) evaluates the vendor's future direction and market position, including their vision for AI readiness, innovation trajectory, product roadmap, partner ecosystem, customer adoption rates, and supporting services. It focuses on the vendor's ability to meet future enterprise needs and maintain competitive advantage.