GX Cloud is shutting down.
Your data quality program doesn't have to.

Why Us

Great Expectations will discontinue GX Cloud on June 1, 2026.

If your team has been authoring expectations, monitoring runs, and coordinating data quality work through the platform, you don't have much time to figure out what comes next while the rest of your roadmap keeps moving.

We want to take some of the pressure off that timeline.

Qualytics gives GX Cloud users a clear path forward: enterprise-grade data quality with 95% automated rule coverage, a purpose-built UI for business and technical teams, and production-ready deployment in hours. And we’ll help you migrate your existing expectations during this difficult time.

Talk to us about migrating

See how Qualytics can transform your data quality workflows.

Offer

What we’re offering GX customers

For teams migrating off GX Cloud before the June 1 deadline, the goal is a soft landing, not another rushed procurement cycle on top of a forced migration.

• Free 60-day access to the full Qualytics platform for data quality monitoring, anomaly detection, and rule authoring.

• Free migration assistance to translate your existing GX expectations into Qualytics, handled by our solutions team, not a self-serve script.

• Free source onboarding if you want to extend coverage beyond what GX Cloud previously monitored, the first round is on us.

• A dedicated Customer Success Manager to help you build a transition plan and reach production-grade coverage quickly.

Advantage

Why Qualytics

The capabilities GX Cloud is sunsetting are the exact capabilities Qualytics was architected to address. Every feature your team is losing has a direct counterpart in Qualytics, and in most cases, Qualytics goes significantly further.

You were writing rules manually. Qualytics infers 95% of them automatically.

GX requires teams to author every expectation by hand in YAML or Python. Qualytics uses AI to profile your data and infer rules from actual data behavior on day one. Your team focuses on the 5% of complex business logic that requires human expertise.

You needed Python expertise to participate. Qualytics was built for your whole team.

GX Cloud’s underlying model required technical proficiency. Qualytics provides a purpose-built, low-/no-code UI where business analysts, data stewards, and governance leads can author rules, review anomalies, and drive remediation alongside data engineers.

You were validating in batches. Qualytics validates at the point of use.

GX operates at predefined pipeline checkpoints. Qualytics delivers quality signals as real-time controls across analytics, applications, copilots, and agents, so data is validated at the moment it drives decisions.

You were tracking history in a hosted platform. Qualytics gives you full control.

GX Cloud stored your validation metadata in their infrastructure. Qualytics captures all data quality context in a customer-controlled enrichment store, queryable through SQL, BI tools, and orchestration workflows. Your data quality history stays yours.

You needed enterprise features that GX Cloud never fully delivered. Qualytics was built for regulated industries and enterprise scale from the start.

Single-tenant Kubernetes-native architecture. SOC 2 compliance. On-prem and managed VPC deployment options. Role-based access control built in from day one.

You're preparing for AI. GX had no answer for that. Qualytics was designed for it.

Copilots access governed quality context through Model Context Protocol (MCP). Agents evaluate data against rules and thresholds in real time through the Qualytics API before taking action. AgentQ, Qualytics' own AI agent, lets your team explore metadata, investigate anomalies, and refine governance through natural language. The same governed foundation serves your human users and your AI systems.

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,