Best Data Quality Software for Teradata Vantage

(Bank CFO) “I don’t have confidence and trust in our data. We keep discovering hidden risks”. Since 70% of data initiatives fail due to unreliable data (Gartner research), are you risking your reputation by trusting the accuracy of your data that you share with your business stakeholders and partners? Data Trust Scores must be measured in Data Lakes, warehouses, and throughout the pipeline, to ensure the data is trustworthy and fit for use. It typically takes 4-6 weeks of manual effort just to set a file or table for validation. Then, the rules have to be constantly updated as the data evolves. The only scalable option is to automate data validation rules discovery and rules maintenance. DataBuck is an autonomous, self-learning, Data Observability, Quality, Trustability and Data Matching tool. It reduces effort by 90% and errors by 70%. "What took my team of 10 Engineers 2 years to do, DataBuck could complete it in less than 8 hours." (VP, Enterprise Data Office, a US bank)

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

An AI-powered data management platform that enables true data democratization. Integrates & centralizes all data sources, facilitates collaboration, and empowers organizations for innovation, driven by Insights. SCIKIQ is a holistic business data platform that simplifies data complexities from business users through a no-code, drag-and-drop user interface which allows businesses to focus on driving value from data, thereby enabling them to grow, and make faster and smarter decisions with confidence. Use box integration, connect any data source, and ingest any structured and unstructured data. Build for business users, ease of use, a simple no-code platform, and use drag and drop to manage your data. Self-learning platform. Cloud agnostic, environment agnostic. Build on top of any data environment. SCIKIQ architecture is designed specifically to address the challenges facing the complex hybrid data landscape.

Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, securing, and monitoring data. Data-driven organizations around the world trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA. Immuta is the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. The company's hyperscale data management platform provides data scientists with rapid, personalized data access to dramatically improve the creation, deployment and auditability of machine learning and AI.

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.

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.