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One Stop Data Quality Shop

Simple Solutions for Complex Data

Data Quality Trust Score

Automation at Every Step

Smart, scalable automation for every step of your data quality journey

Data Quality

Test Automation

Observability & Monitoring

Define & Manage Data Quality

The Validatar Platform centralizes every aspect of data quality, so you can easily define & manage expectations.

  • Data Quality Rules
  • Definitions & Documentation
  • Metrics & Reports
  • Quality Dimensions
Manage Data Quality Expectations

Specialized for Data QA

A centralized QA platform tailored for data testing.

  • Testing Recommendations
  • Test Case Management
  • Automated Test Execution
  • Integrate with scheduling and CI/CD
  • Manage and report on test results

Scalable Technology

Patented technology enables even the most complex test cases at scale. 

  • Compare and evaluate any data
  • Aggregates and row-level detail
  • Out-of-the-box test cases
  • Custom SQL & Python
  • Metadata-Powered Templates


Be Proactive, Not Reactive

Validatar's automation helps you quickly identify data quality failures, root causes & impacts.

  • Detect & Report Data Anomalies
  • Notifications & Alerts
  • Shareable, Auditable Reports
  • Track Quality Metrics
  • Monitor Security & Compliance
Data Quality Platform Trust Score

Security Meets Every Standard, Every Time

With industry standard certifications, Validatar is committed to protecting your data

A QA Platform Built for the Challenge

Powerful Flexibility for Complex Data

Connect to Any Data

Metadata-Powered QA Engine

Flexible Deployment

No Data Left Behind

Connect to any data you need to test or monitor:

  • Databases, files, reports, API's 

  • Cloud platforms to legacy mainframes

  • Rich connectors include pre-built quick tests & macros for easy implementation for standard data sources

  • Open, customizable python framework enables connecting to custom APIs and file types

Access Remote Data

Easily access on-prem data with Validatar's data agent for comprehensive QA.

Data Agent

A QA Engine Built for Scale

  • Driven by integrated metadata repository
  • Patented template-testing technology for pattern-based testing
  • Automated scaling for even the most challenging scenarios
Data QA Engine Template Builder SQL

Validatar Cloud

SaaS

  • Robust, multi-tenant architecture
  • US-hosted
  • Designed for scale
  • SOC 2 Type II
  • HIPAA compliant

Validatar Server

Self-Hosted

  • Deploy in your own environment, on-premise or in cloud platform of choice
  • Install on Windows or Linux & deploy application database on Microsoft SQL Server or PostgreSQL

Azure Marketplace

Coming Soon

  • Launch inside your VNet with optimized instances
  • Leverage Azure credits, reduce setup time & data movement costs
  • Options for Hourly or BYOL (Bring-Your-Own-License)

Snowflake Marketplace

Coming Soon

  • Fastest & easiest way to get started, if current Snowflake customer
  • Run Validatar inside Snowflake tenant natively deployed on Snowpark Container Services
  • Options for payment with Snowflake credits or BYOL (Bring-Your-Own-License)

Built for the Cloud

Validatar integrates seamlessly with leading cloud platforms to ensure data quality across your ecosystem.
Validatar integrates with Snowflake
Snowflake

Snowflake customers benefit from our participation in the Powered By Snowflake program. With native pushdown support you can validate, monitor, and score data directly within Snowflake, helping you maintain high standards of accuracy and consistency at every stage of your pipeline. 

Validatar integrates with Data Bricks
Databricks

Test and monitor your data lakes and pipelines with Validatar. Direct integrations with Unity Catalog metadata enables advanced automation. Validatar ensures accurate, consistent data for analytics and machine learning, empowering you to get more value out of Databricks' unified data platform.

Validatar integrates with Azure
Azure

Validatar integrates effortlessly with Azure services, including Fabric, Synapse, ADLS, PowerBI, ADF and more. Enabling robust data quality management across your cloud environment. With automated validation and scoring, you can ensure data readiness for AI and analytics while leveraging Azure's enterprise-grade solutions.

Validatar integrates with AWS
Amazon Web Services

Validatar works seamlessly across AWS services, including Redshift, S3, and RDS, to deliver comprehensive data quality management. Validate, monitor, and score your data directly in your AWS ecosystem to ensure clean, reliable data that fuels better insights and smarter decision-making.

Transparent, Quality-Centric Data Governance

Drive trust & action with integrated data quality & governance

Data Catalog

Trust & Quality Metrics

Data Lineage

Practical Data Governance

Validatar's built-in data catalog is designed to support your data governance initiatives as you scale:

  • Metadata discovery & documentation
  • Automated profiling
  • Integrated data quality metrics & reports
  • Notifications & alerts
  • Customizable tagging and glossary
Validatar Data Governance


Actionable Insights

Meaningful, data-driven decisions are possible with Validatar Trust & Quality Metrics.

  • Calculate and track trust & data quality scores
  • Fully configurable: manage coverage rules, severity levels, quality dimensions and more
  • Set targets and easily share results for actionable insights
Data Quality Trust Scores

End-to-End Lineage

Governing your data requires knowing where it comes from and who is using it.

With Validatar, you can visualize your data lineage across systems. 

Get insights into where data quality issues are located, critical dependencies, and downstream impacts.

Data Quality Lineage

Ready to Transform Your Data Quality?

Complete this form, and our team will reach out to schedule a personalized demo of Validatar.

Request a Demo