Enterprise data quality
without the manual rule burden

Why Us

Informatica was built for a world of reactive data quality: manual rules coded after an issue is detected, long deployment cycles, and flying blind with unknowns. This legacy model struggles to keep up with the scale of modern data requirements and breaks down entirely as AI systems consume more data and automate decisions.

Qualytics replaces manual rule writing with automated, adaptive data quality. Teams start with broad coverage on day one, catch issues before they spread, and deliver trusted data in hours—not months.

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See how Qualytics can transform your data quality workflows.

Hear from Our Customers

"Great tool for Data Quality Management"

For us it checked all the boxes of what we were expecting of a data quality management tool. Very easy for business users to create their own quality rules with just a few clicks. Integration with databricks is seamless. Allows for all the common data quality tasks such as profiling operations, scanning operations, quality checks, and quality check suggestions.

Director of Data Engineering,

Mid-Market (51–1000 emp.)

"A Refreshing Partnership"

Working with Qualytics has been a breath of fresh air. They are an amazing team to work with and extremely focused on helping companies implement Data Quality. Their approach is process oriented, which is where you succeed with Data Quality, and their tooling supports secure, cost effective approach that any size of company can get behind.

Verified User in Oil & Energy,

Enterprise (> 1000 emp.)

"Intuitive and powerful"

Intuitive interface, powerful ML to create immediate data quality checks. Easy to create new rules, monitor data health. Extremely responsive dev team. New features arrive at lightning speed. Implementation takes 20 minutes or less.

Global Data Quality Lead,

Revantage Mid-Market (51–1000 emp.)

"Qualytics user experience"

As a user of Qualytics, I am impressed by its robustness and high configurability. The tool excels in allowing the export of anomalies and provides a data preview feature that helps visualize results effectively. One of the standout features is the ability to export anomalies directly to the customer's data source, which is incredibly useful. Additionally, the support provided is exceptional, with a high rate of attendance and responsiveness. The team keeps enhancing the tool and its integrations.

Data governance specialist,

Enterprise (> 1000 emp.)

Advantage

The Qualytics Advantage: Purpose-Built for Modern Enterprise Data Quality

Data teams using Informatica know the drill: a report looks wrong, someone files a ticket, engineering digs through pipelines to find the root cause, and by the time the root cause is addressed, a similar issue is already happening elsewhere. Qualytics stops that cycle before it starts, with AI-driven coverage that identifies anomalies at the source and a platform that keeps business and technical teams working from the same set of facts.

Automate data quality from day one

Qualytics’ AI automatically generates and maintains 95%+ of your data quality rules, giving you broad coverage from day one without manual rule writing or the engineering backlog that comes with it.

Validate data across your entire ecosystem

Qualytics supports cross-table, cross-system, and advanced business rules such as entity resolution and reconciliation out of the box, catching issues that single-field rules and pipeline health monitors miss.

Make data quality a team sport

Business and data teams work in a single no-code environment to define, monitor, and resolve issues. Users can create and refine rules via a tailored UI or natural language, and investigate anomalies with full explainability—both inside the platform and through enterprise-approved copilots and agents.

Resolve issues with full context

Qualytics surfaces anomalies with record-level root-cause context and built-in remediation workflows, and leverages agents to drive remediation forward, connecting detection, ownership, and resolution into a continuous, auditable workflow.

Comparison

Qualytics vs. Informatica

With Qualytics, you move beyond reactive, manual data quality to a proactive, automated approach. Instead of relying on manually curated rules on select data assets, teams start with broad AI-driven coverage on day one, rules adapt as data and your business evolve, and business and technical users collaborate in a single platform built to scale.

AI Curated Checks

Requires manual management of YAML-based expectations per dataset or column

Proactive Remediation Capabilties

Focuses on validation; remediation is external to the tool and must be custom-built

Breadth of Check Categories

Offers traditional data validation checks (nulls, ranges, patterns)

Data Steward Focused User Experience

CLI- and code-first experience, requiring Python expertise

Audit and Traceability

Manual logging and custom implementation for audit trails

Enterprise Scalability & Performance

Scales through custom pipelines; enterprise support is community-driven or commercial via partners

Deployment Model and Architecture

Open-source and script-driven; infrastructure responsibility lies

AI Curated Checks

Auto-infers checks from historical data patterns and continuously adapts them over time

Proactive Remediation Capabilties

Tools for proactive remediation & workflow tracking for anomalies directly in the platform

Breadth of Check Categories

Covers eight comprehensive data quality dimensions; timeliness, uniqueness, and referential integrity, with AI-driven profiling

Data Steward Focused User Experience

Web-based low/no-code UI with native event-driven actions supporting push and pull integrations (fully open API)

Audit and Traceability

Automatically maintains time-stamped lifecycle logs of quality checks, anomalies, and remediations

Enterprise Scalability & Performance

Designed from the ground up for enterprise workload; auto-scaling, high availability and performance monitoring

Deployment Model and Architecture

Kubernetes-native, supports both hosted (managed VPC) and on-prem (via Helm chart) deployments with enterprise-grade isolation

Features

Qualytics Logo

Time to Value

Typically 9–24 months to meaningful coverage

Deploy in hours; 95%+ AI-generated rule coverage on day one

AI Augmented Rule Management

No native AI rule generation; all rules manually defined and maintained

Automatically infers technical and business rules (~95%+ coverage), continuously adapts

Business User Access

Designed for engineers; business users depend on IT for most changes

No-code UI built for business and technical teams to co-own quality

Advanced Business Rules

Possible with proprietary scripting or SQL, but requires engineering effort

50+ no-code templates + natural language rule creation; SQL supported for edge cases

Record-Level Anomaly Detection

Alerts lack direct record-level visibility; manual queries required to investigate

Surfaces anomalies at the record level with full root-cause context for rapid action

Cross-Column and Cross-System Vaildation

Limited support; complex cross-system logic requires manual implementation

Validates across columns, tables, files, and datastores with built-in reconciliation and data diffing

Audit-Ready Proof of Governance

Remediation tracking is fragmented or manual; limited audit trai

Full remediation datastore with rule history, anomaly tracking, and audit-ready logs

AI-Native Governance for Copilots and Agents

No equivalent runtime governance layer for AI systems

MCP Server embeds governed quality signals into any MCP-compatible copilot; Agentic API enforces validate-before-use controls in autonomous agent workflows

Natural Language Rule Authoring

Rule authoring requires SQL or proprietary scripting expertise

AgentQ allows any user to create checks, investigate anomalies, and interrogate rules in plain language

Enterprise-Grade Scalability and Deployment

Multi-tenant or self-hosted options; more limited APIs and heavier implementations

Single-tenant SaaS or self-managed; Kubernetes + Spark architecture with full API access

Ready to move beyond
manual data quality? 
See Qualytics in action.

Click to Schedule a demo