Best Data Validation Tools for Teradata VantageCloud

Compare the Top Data Validation Tools that integrate with Teradata VantageCloud as of December 2025

This a list of Data Validation tools that integrate with Teradata VantageCloud. Use the filters on the left to add additional filters for products that have integrations with Teradata VantageCloud. View the products that work with Teradata VantageCloud in the table below.

What are Data Validation Tools for Teradata VantageCloud?

Data validation tools are software tools designed to ensure the accuracy and integrity of data. These tools help identify errors or inconsistencies in data, such as missing values, incorrect formats, or duplicate entries. They work by applying predefined rules and algorithms to check the validity of data against established criteria. Some common types of data validation tools include spell checkers, error flagging systems, and automated testing programs. These tools are essential for maintaining the quality and reliability of data in various industries, including finance, healthcare, and manufacturing. Compare and read user reviews of the best Data Validation tools for Teradata VantageCloud currently available using the table below. This list is updated regularly.

  • 1
    DataBuck

    DataBuck

    FirstEigen

    DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world.
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  • 2
    QuerySurge
    QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence:  Analytics dashboard & reports
  • 3
    Astera Centerprise
    Astera Centerprise is a complete on-premise data integration solution that helps extract, transform, profile, cleanse, and integrate data from disparate sources in a code-free, drag-and-drop environment. The software is designed to cater to enterprise-level data integration needs and is used by Fortune 500 companies, like Wells Fargo, Xerox, HP, and more. Through process orchestration, workflow automation, job scheduling, instant data preview, and more, enterprises can easily get accurate, consolidated data for their day-to-day decision making at the speed of business.
  • 4
    Datameer

    Datameer

    Datameer

    Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development
  • 5
    Alteryx

    Alteryx

    Alteryx

    Step into a new era of analytics with the Alteryx AI Platform. Empower your organization with automated data preparation, AI-powered analytics, and approachable machine learning — all with embedded governance and security. Welcome to the future of data-driven decisions for every user, every team, every step of the way. Empower your teams with an easy, intuitive user experience allowing everyone to create analytic solutions that improve productivity, efficiency, and the bottom line. Build an analytics culture with an end-to-end cloud analytics platform and transform data into insights with self-service data prep, machine learning, and AI-generated insights. Reduce risk and ensure your data is fully protected with the latest security standards and certifications. Connect to your data and applications with open API standards.
  • 6
    Ataccama ONE
    Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data.
  • 7
    BiG EVAL

    BiG EVAL

    BiG EVAL

    The BiG EVAL solution platform provides powerful software tools needed to assure and improve data quality during the whole lifecycle of information. BiG EVAL's data quality management and data testing software tools are based on the BiG EVAL platform - a comprehensive code base aimed for high performance and high flexibility data validation. All features provided were built by practical experience based on the cooperation with our customers. Assuring a high data quality during the whole life cycle of your data is a crucial part of your data governance and is very important to get the most business value out of your data. This is where the automation solution BiG EVAL DQM comes in and supports you in all tasks regarding data quality management. Ongoing quality checks validate your enterprise data continuously, provide a quality metric and supports you in solving the quality issues. BiG EVAL DTA lets you automate testing tasks in your data oriented project.
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