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Join 1000+ Satisfied Customers Using Dataedo
Take control over your data quality
with our data quality software
Catch issues instantly
with 90+ built-in data quality rules
Start improving data quality instantly with over 90 ready-to-use validation rules. Detect missing values, out-of-range entries, and other common issues without writing a single line of code.
Validate your own business rules
with custom SQL
Go beyond standard checks by defining your own rules with SQL. Validate business-specific logic, compliance conditions, or industry requirements directly against your datasets.
See the big picture with interactive dashboards
Track your overall data quality score, review test histories, and spot trends with clear, actionable visualizations. Quickly identify problem areas and prioritize fixes.
Stay ahead of issues
with automated data quality checks
Run tests on demand or schedule them to run automatically. Proactive monitoring ensures you catch issues early, before they affect reporting, analytics, or operations.
Understand your data
with powerful data profiling
Get instant insight into your datasets with built-in data profiling. Explore column statistics, value distributions, unique counts, and null percentages without manual queries. Quickly spot anomalies, outliers, or unexpected patterns that may signal data quality issues. Use these insights to guide cleanup efforts and refine validation rules.
Crowdsource feedback on data quality
from the community
Combine automated checks with human expertise by enabling data consumers to share real-world feedback on datasets. Flag assets with potential issues, add warnings to questionable data, and provide context that automated rules might miss.
One platform,
zero silos
Dataedo combines cataloging, documentation, lineage, profiling, quality checks and more in a single data governance platform - no separate tools, no messy integrations, just one source of truth about your data and its quality.
Drive better business outcomes with data you can trust
Enable data-driven decision making
Make your data AI-ready
Prepare clean, consistent data that fuels accurate machine learning models and AI-driven initiatives, unlocking transformative business value.
Reduce risk of bad conclusions & decisions
Data reliability fuels smarter strategies and operational excellence, while minimizing costly mistakes and maximizing ROI.
Boost productivity
Free your data teams from tedious manual validation so they can focus on delivering impactful insights.
Accelerate analytics and reporting
Provide analysts and BI teams with clean, validated datasets they can trust. Eliminate time spent on manual verification so they can focus on delivering insights faster.
Ensure regulatory compliance
Maintain audit-ready data that meets industry standards and regulations, avoiding penalties and protecting your reputation.
How it works?
1. Connect your data sources
Securely and quickly link your data sources - no complex setup required.
2. Set up and run automated quality checks
Leverage 80+ built-in rules or your own SQL to instantly uncover errors, anomalies, and inconsistencies.
3. Monitor and improve over time
Track quality scores over time, assign fixes, and crowdsource feedback to ensure your data stays trustworthy.
Supported data sources
We’re constantly expanding data quality support for both legacy and modern data stacks, ensuring you can manage and improve data quality no matter where your data lives.
Your data is always secure & protected
Trusted by leading organizations across government, finance, insurance, banking, and healthcare,
Dataedo prioritizes data privacy and security at every step.
Dataedo prioritizes data privacy and security at every step.
Flexible deployment options
Dataedo can be deployed on-premises or in your private cloud to meet your organization’s security requirements and maintain full control over your data.
Data Privacy by design
Your data stays within your environment at all times. No raw data is ever sent outside your systems, ensuring maximum privacy and compliance.
Role-based access control
Easily manage who can view or modify data quality rules and results, keeping sensitive information safe and accessible only to authorized users.
User Authentication
Support for enterprise-grade authentication protocols including Active Directory, SAML, and OAuth2 keeps your data catalog secure and compliant.
Why our customers love Dataedo?
Dataedo is a lightweight solution with great customer service and active product development (recently data quality). The ability to run SQL scripts on the repository brings additional flexibility."
We jump started all of our Data Governance efforts using the tool. We documented key databases quickly and easily and published the information to our analyst community."
Dataedo is an amazing tool that continues to grow and improve."
Datedo consistently improves while delivering exceptional support that is quick, competent, and highly reliable."
Dataedo excels at data cataloging, and the support from the Dataedo team is top-notch."
Dataedo is easy to use, offers great functionality, and provides excellent customer service that always listens to the customer."
Dataedo provides ease of use and covers so many areas from a Data Governance perspective. You really can put everythng in one place."
Dataedo is a fantastic tool, and I love working with it—especially with the continuous improvements being made and planned."
FAQs
What is data quality?
Data quality is the measure of how accurate, complete, consistent, and reliable your data is for its intended use. High-quality data is free from errors, up to date, and aligned with business definitions, making it trustworthy for analytics, reporting, decision-making, and compliance. Effective data quality is a vital part of broader data management practices that ensure your data is well-governed, accessible, and valuable across the organization.
What are data quality tools?
Data quality tools are software solutions that help companies automatically check, monitor, and improve the quality of their data. They can detect issues like missing values, duplicates, inconsistent formats, broken relationships, and other anomalies that could lead to bad decisions or compliance risks. Because data is the foundation of every business process, choosing the right data quality tool is essential. One of those trusted solutions is Dataedo.
What is the purpose of data quality tools?
Data quality tools purpose is to help indentify, udnerstand and correct flaws in data before they cause business impact. This ensures that every report, dashboard, or application is using trustworthy and reliable data.
How does data quality work in Dataedo?
Data quality in Dataedo works by running automated checks on your connected databases using over 80 built-in rules for common data quality issues like missing values, duplicates, or broken relationships, as well as fully customizable SQL rules for business-specific conditions. Results are presented directly in the Dataedo Data Catalog at both table and column levels, so you can pinpoint exactly where problems occur. Interactive dashboards provide an overall quality score, highlight trends, and surface actionable insights - such as empty columns, sudden row count changes, or missing unique values — while scheduling features ensure checks run automatically, keeping your data accurate and trustworthy over time.
Can I use Dataedo with my existing databases?
Dataedo supports a wide range of relational databases, cloud data warehouses, ETLs, BI tools and other popular platforms. This includes sources like SQL Server, Oracle, MySQL, PostgreSQL, Snowflake, and many more.
How is Dataedo different from standalone data quality tools?
Many other data quality tools are separate platforms, meaning you need to connect them to your data catalog tool or run them in isolation. Dataedo data quality software integrates quality checks directly into it's data catalog, so you can see data definitions, lineage, profiling, and quality metrics in one place - reducing complexity and improving adoption.
Is Dataedo a data observability tool?
No, Dataedo is not a data observability tool - it’s a data catalog with built-in data quality features, focusing on documentation, governance, and improving data trust rather than real-time data pipeline monitoring.
Explore more key features
Data Profiling
Use sample data to learn what data is stored in your data assets. Understand the data better and make sure that the data is good quality.
Data Lineage
Visualize how data flows across your systems to understand dependencies, trace issues to their source, and improve impact analysis.
Community
Enable teams to comment, rate, and share knowledge about datasets, turning your catalog into a living, collaborative hub that supports data democratization.
Piotr Kononow
Founder
Stop making bad decisions based on poor quality data
Ensure high data quality and increase trust in data with a lightweight data catalog.