Data Observability, Data Quality, and Context
Industry's first AI Native platform where Data Observability, Data Quality, and Context work as one system—turning trust from a manual, reactive process into autonomous operations governed by the enterprise.
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Trusted By Enterprises Worldwide
One System. Three Disciplines. Zero Blind Spots.
Most platforms force you to stitch observability, quality, and cataloging together. Prizm unifies all three on one AI-native control plane — so every signal, score, and asset stays in sync across the enterprise.
Know the moment data breaks.
Data Observability
Autonomous monitoring across pipelines, warehouses, lakehouses, and BI. Detect freshness, schema, volume, cost and performance anomalies before they reach dashboards.
- Agentless coverage across all the sources
- ML-driven anomaly detection & lineage-aware alerts
- Alert Clustering with root-cause & remediation
Create every metric that matters.
Data Quality
Policy-driven rules, AI-suggested checks, and reusable quality scores that travel with the data — from raw ingest to regulatory reporting for data accuracy.
- No-code rule authoring with AI recommendations
- Quality scoring at asset, domain, and contract level
- SLAs, scorecards, and exec-ready trust metrics
Make data findable, usable, governed.
Context
Enterprise context layer so agents and users can find the right data, lineage, ownership, business meaning for governance and other use cases.
- Automated discovery, classification and tagging
- Business glossary, semantics and lineage
- Access-ready, AI-ready, audit-ready
What is AI Native?
INDUSTRY’S FIRST AI NATIVE PLATFORM
What is AI Native?
Many platforms are adding Al features: summarizing incidents, generating rules, or answering questions in chat. Helpful-but often bolted onto an operating model that hasn't changed. Alerts still arrive unprioritized. Ownership is still ambiguous. Remediation is still manual. Teams still spend time interpreting what the system already knows.
PRIZM is built differently. It is Al native because Al is embedded in the core control plane-how context is gathered, how signals are interpreted, how priorities are set, and how action is orchestrated.
Learn more about PRIZM
DQLabs Named a Visionary in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions
Recognized as a Visionary for the
second consecutive year
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Trusted Data for Every Role, Every Decision
Data Leaders
Lead with data your business can rely on
See the health of your most critical data on demand. Leaders see what's reliable, what's risky, and where to focus attention first.
Data Architects
One platform across your data stack
Replace disconnected catalog, observability, and quality solutions with one platform. Prizm keeps the architecture simple as your data grows.
Data Engineers
Reliable pipelines,
less firefighting
Prizm clusters related alerts, traces root cause across lineage, and resolves the routine ones, relieving engineers from triaging every alert.
Data Scientists
Build models on data you can trust
Spend time modeling, not debugging. Understand the baselines, anomalies, and biases in your training data before they shape your models.
Data Stewards
Know your data, govern it with confidence
Prizm shows every business term, policy, and data product with context, so stewards can prioritize gaps, enforce governance, and keep the catalog trustworthy.
Recognized by
Leading Analyst Firms
AUGMENTED DATA QUALITY
A Visionary in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions
DATA OBSERVABILITY
Mentioned in the
Market Guide 2026 for
Data Observability
DATA MANAGEMENT
Mentioned in the
Hype Cycle 2025 for
Data Management
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
LEADER
in Everest Group’s PEAK Matrix® 2025 for
Data Observability Providers
