Validatar
Validatar is a data quality and testing automation platform that automates validation, profiling, monitoring, and governance across any data source or format. It serves enterprise data engineering and governance teams in healthcare, insurance, financial services, and life sciences via Cloud and on-premises deployments.
- Company typePrivate
- Founded2009
- HeadquartersIrving, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Validatar does
Validatar is a data quality and testing automation platform that helps enterprises automate validation, profiling, monitoring, and governance of structured data assets across any source, format, or platform. The product is offered as Validatar Cloud (SaaS) and Validatar Server (on-premises), enabling deployment into both cloud-native and regulated enterprise environments, and is composed of three integrated modules: Automated Testing (recommendations, test case management, automated execution, analysis/reporting), Comprehensive Monitoring (anomaly detection, quality metric tracking, ETL-integrated alerts, security and compliance monitoring), and a built-in Data Catalog for governance documentation. The platform connects to major enterprise data environments including Snowflake, Databricks, Redshift, SQL Server, Oracle, and Synapse, and is differentiated by a metadata-driven approach with codified Data Vault 2.0 test patterns (Data Loading, Raw Vault, Business Vault, Production Monitoring) plus downloadable production-ready test templates.
Validatar monetizes through recurring SaaS subscriptions for Validatar Cloud, subscription licensing for Validatar Server, and paid Implementation Services covering Data Quality Management Strategy, Data Governance Strategy, Cloud Migration Support, Training, and Test Creation Quick Start. It distributes primarily through direct enterprise field sales with a "Request a Demo" engagement model, supplemented by a consulting/SI partnership with Resultant and a content-led demand-generation funnel (free Data Vault Test Plan, Automation Guide, ROI Calculator, documentation portal, Trust Center, and public Status Page). The company is a privately held Texas LLC headquartered in Irving, TX, founded in 2009, employs 51-100 people, and is led by co-founder, President and CEO Jonathan Agee; no institutional investors, parent company, funding rounds, or M&A activity are disclosed.
Customer evidence indicates traction in regulated, data-intensive verticals. Named logos include Allianz, Texas Mutual Insurance, Higginbotham (insurance); usHealth, Tandigm Health, DFW Hospital Council, Luminex, Bio-Techne (healthcare and life sciences); GreatAmerica (financial services); Brinker (restaurant); Resultant (consulting); and NTFB (nonprofit). Quantified outcomes reported by customers include testing 2,300 tables via automated scripts in one week at Texas Mutual with 26 months of zero data issues, identifying 12 critical defects across 20,000 columns at Brinker, and a 50% time reduction on a Snowflake migration delivered by Resultant, providing the primary evidence of platform impact at enterprise scale.
Validatar firmographics
Firmographics- Name
- Validatar
- Legal name
- Validatar, LLC
- Website
- https://validatar.com
- Company type
- Private
- Founded year
- 2009
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Validatar is a data quality and testing automation platform that automates validation, profiling, monitoring, and governance across any data source or format. It serves enterprise data engineering and governance teams in healthcare, insurance, financial services, and life sciences via Cloud and on-premises deployments.
- Ownership category
- akta.pro rank
Validatar industry classification
Industry- Product category
- Data Quality Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Custom Computer Programming Services (541511)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Quality, Validation & Ground Truth Auditing (HDAAALAF)
Keywords
Where Validatar is headquartered
LocationHeadquarters
- HQ city
- Irving
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Validatar business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- SaaS Subscription (Validatar Cloud): Cloud-based data quality platform subscription with flexible deployment options
- Server/On-Premises License: Validatar Server terms of service available for on-premises deployment
- Implementation Services: Paid implementation services including Data Quality Management Strategy, Data Governance Strategy, Cloud Migration Support, Validatar Training, and Test Creation Quick Start
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Flexible plans for teams of all sizes |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels4 records
Validatar product offering
Product offeringCore offering
Validatar is a data quality and testing automation platform that connects to any data source in any format to automate metadata discovery, test case management, test execution, anomaly monitoring, and data governance. It is delivered as Validatar Cloud (SaaS) and Validatar Server (on-premises), serving enterprise data governance and data engineering teams with specialized support for Data Vault 2.0 environments.
Product overview
Validatar is a unified Data Quality Platform designed for data teams of all sizes, offered as both Validatar Cloud (SaaS) and Validatar Server (on-premises). The platform automates the full data quality lifecycle through integrated modules: Automated Testing for test case creation, execution, and analysis; Comprehensive Monitoring for anomaly detection and alerts; and a built-in Data Catalog for data governance. The platform supports Data Vault 2.0 patterns and integrates with enterprise data environments. Complementary offerings include free resources (Data Vault Test Plan, Automation Guide), professional Implementation Services, and self-service tools (ROI Calculator, Documentation, Trust Center).
Differentiator
Problem solved
Functional benefit
Products and services
- Validatar Cloud Cloud-hosted SaaS deployment of Validatar's data quality platform, providing centralized data quality management, automated testing, comprehensive monitoring, and data governance capabilities delivered as a subscription. For enterprise data governance, data engineering, and analytics teams.
- Validatar Server On-premises deployment option of Validatar's data quality platform, offering the same automated testing, data profiling, monitoring, and data catalog capabilities for organizations that require on-premise infrastructure and licensing.
- Implementation Services Paid professional services covering Data Quality Management Strategy, Data Governance Strategy, Cloud Migration Support, Validatar Training, and Test Creation Quick Start to help customers install, configure, and operationalize the Validatar platform.
Quantifiable outcome
- Testing 2,300 tables through automated scripts in one week
- +3 more outcomes
Companies that use Validatar
Customer profileNamed customers12 records
Segments4 records
Ideal customer profiles3 records
Validatar technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature7 records
Validatar partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- ResultantminorPrincipal Consultant at Resultant references using Validatar for Snowflake migration projects with clients. Resultant is a consulting firm that deploys Validatar as part of data analytics solutions.
Scale indicators4 records
Recent moves5 records
Expansion highlights6 records
Validatar competitors and assessment
Company assessmentBroad incumbents
- Informatica: Informatica is the largest enterprise data integration and data quality platform, offering Data Quality, Data Governance, and Data Catalog modules that overlap directly with Validatar's automated testing, profiling, and catalog capabilities, but at significantly greater scale and with a much broader portfolio.
- Precisely: Precisely offers enterprise data integrity, data quality, and integration solutions across mainframe, cloud, and hybrid environments, competing with Validatar in regulated industries where on-premises deployment and large-scale data validation are priorities.
- Talend: Talend (now part of Qlik) provides data integration, data quality, and governance tooling, directly competing with Validatar in the enterprise data quality and ETL validation segment and supporting many of the same warehouse targets (Snowflake, Redshift, Oracle).
Direct peers
- Collibra: Collibra is an enterprise data governance and catalog platform that competes with Validatar's data catalog and governance modules, particularly for large regulated enterprises that prioritize metadata management and stewardship alongside data quality.
- Alation: Alation is a data catalog and governance platform whose built-in catalog and governance capabilities compete with Validatar's data catalog module, often chosen by enterprise data governance teams evaluating documentation and stewardship tooling.
- Soda: Soda provides data quality and observability tooling with automated checks, anomaly detection, and monitoring that overlap directly with Validatar's automated testing and comprehensive monitoring modules for cloud data warehouse environments.
- Great Expectations: Great Expectations is an open-source data quality and testing framework widely adopted by data engineering teams; it competes with Validatar's automated testing and template-driven validation approach, particularly among engineering-led organizations building testing pipelines.
- Monte Carlo: Monte Carlo is a data observability platform that detects anomalies, breaks, and quality issues across the data stack, competing with Validatar's monitoring and anomaly detection layer while typically serving larger, well-funded buyers.
- Ataccama: Ataccama is an AI-powered data quality and master data management platform with profiling, testing, and catalog capabilities that overlap tightly with Validatar's automated testing and monitoring modules, targeting similar enterprise data teams.
Emerging players
- Bigeye: Bigeye is a data observability and quality platform that monitors warehouse and pipeline data for anomalies and freshness, providing a cloud-native alternative to Validatar's enterprise on-prem/cloud hybrid monitoring offering for modern data teams.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat4 records
Key risks5 records
Key highlights7 records
Customer concentration
Validatar social profiles
Digital presenceValidatar compliance and trust
Trust signalCompliance1 record
Validatar financial estimates
Financial estimateRevenue estimate
Valuation estimate
Validatar leadership team
Management profileNumber of profiles
Profiles1 record
Validatar funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Validatar M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Validatar
What does Validatar do?
Validatar is a data quality and testing automation platform that connects to any data source in any format to automate metadata discovery, test case management, test execution, anomaly monitoring, and data governance. It is delivered as Validatar Cloud (SaaS) and Validatar Server (on-premises), serving enterprise data governance and data engineering teams with specialized support for Data Vault 2.0 environments.
Is Validatar a public or private company?
Validatar is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Validatar founded?
Validatar was founded in 2009. It employs 1 to 10 people.
Where is Validatar based?
Validatar is headquartered in Irving, United States, in the North America region.
How does Validatar make money?
Three revenue lines are on record. SaaS Subscription (Validatar Cloud) is the primary driver. The others are server/On-Premises License and implementation Services.
Who are Validatar's main competitors?
Broad incumbents on record are Informatica, Precisely and Talend. Direct peers are Collibra, Alation, Soda, Great Expectations, Monte Carlo and Ataccama. Bigeye is listed as an emerging player.
Does Validatar have an API?
No public API is recorded for Validatar.
What industry is Validatar in?
Validatar's product category is Data Quality Software. Its primary akta.pro industry code is HDAAALAF, Data Quality, Validation & Ground Truth Auditing. Its NAICS code is 518 and its SIC code is 7370.