Below is a list of Data Governance software that integrates with Azure Database for PostgreSQL. Use the filters above to refine your search for Data Governance software that is compatible with Azure Database for PostgreSQL. The list below displays Data Governance software products that have a native integration with Azure Database for PostgreSQL.
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QuerySurge
RTTS
Revolutionize data validation with AI automation and deep insights
QuerySurge serves as an intelligent solution for Data Testing that streamlines the automation of data validation and ETL testing across Big Data, Data Warehouses, Business Intelligence Reports, and Enterprise Applications while incorporating comprehensive DevOps capabilities for ongoing testing.
Among its various use cases, it excels in Data Warehouse and ETL Testing, Big Data (including Hadoop and NoSQL) Testing, and supports DevOps practices for continuous testing, as well as Data Migration, BI Report, and Enterprise Application/ERP Testing.
QuerySurge boasts an impressive array of features, including support for over 200 data stores, multi-project capabilities, an insightful Data Analytics Dashboard, a user-friendly Query Wizard that requires no programming skills, and a Design Library for customized test design.
Additionally, it offers automated business report testing through its BI Tester, flexible scheduling options for test execution, a Run Dashboard for real-time analysis of test processes, and access to hundreds of detailed reports, along with a comprehensive RESTful API for integration.
Moreover, QuerySurge seamlessly integrates into your CI/CD pipeline, enhancing Test Management Integration and ensuring that your data quality is constantly monitored and improved.
With QuerySurge, organizations can proactively uncover data issues within their delivery pipelines, significantly boost validation coverage, harness analytics to refine vital data, and elevate data quality with remarkable efficiency.
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ER/Studio is an enterprise data modeling and architecture platform that helps organizations design, align, and govern data across complex, distributed environments. It translates business requirements into technical implementation through integrated conceptual, logical, and physical models, creating a consistent foundation for analytics, AI initiatives, modernization, compliance, and operational systems. ER/Studio supports modern data architectures, including data warehouses, lakehouses, data mesh frameworks, and data vault methodologies, ensuring models reflect how platforms are built today. By maintaining clear relationships between definitions and database structures, it establishes a trusted, enterprise-wide view of data.
Collaboration is enabled through a centralized, multi-user repository with version control, role-based access, and parallel development. Teams can work simultaneously while preserving model integrity and full change history. The web-based portal, Team Server, extends visibility beyond architects, allowing business and technical stakeholders to explore models, review metadata, and provide feedback through a browser interface. This shared environment improves transparency and alignment between design and execution.
Governance and standardization are embedded within the modeling process. Business glossaries and data dictionaries link directly to technical objects so approved definitions remain synchronized with implementations. Built-in impact analysis provides visibility into downstream dependencies before changes are deployed, reducing risk and strengthening coordination. Metadata can be synchronized with platforms such as Microsoft Purview and Collibra to enhance lineage visibility, documentation accuracy, and compliance oversight.
Available in Standard, Professional, and Enterprise editions, ER/Studio scales from individual practitioners to enterprise-wide architecture programs with advanced collaboration and governance needs.
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Salesforce Data 360
Salesforce
Transform your enterprise data into real-time actionable insights.
Data 360 is Salesforce’s advanced data activation platform built to power unified, AI-ready business operations. Formerly known as Data Cloud, it centralizes fragmented enterprise data into a single trusted ecosystem. Its Zero-Copy integration model allows companies to connect directly to existing data warehouses like Snowflake, Databricks, and Google BigQuery without moving data. This architecture eliminates duplication while preserving real-time access to critical information. Data 360 ingests and harmonizes diverse data types, including transactional records, customer interactions, documents, and images. Intelligent identity resolution matches customer records across systems to create unified profiles. Governance tools ensure secure, policy-based data management and compliance. The platform enables dynamic segmentation, predictive analytics, and calculated business metrics. Real-time triggered flows allow organizations to automate actions based on insights. Data can be activated across marketing, service, sales, and advertising platforms. As the backbone of Agentforce, Data 360 provides context-rich intelligence to AI-driven workflows. It transforms enterprise data into a scalable, actionable foundation for growth and innovation.
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Codified
Codified
Streamlined governance made simple: clarity, collaboration, security enhanced.
Codified simplifies governance by enabling users to state rules like, "support engineers can access customer data only when assigned to a support ticket." It features a comprehensive data catalog, a robust policy engine, and an efficient workflow manager. This results in a streamlined, agile approach to data governance that not only cuts operational costs and boosts productivity but also enhances security measures. Traditional data access controls, often formatted as ACLs or JSON policies, can be cumbersome and hard to interpret, leading to incomplete policy descriptions. Unlike these methods, Codified empowers you to articulate your organization's policies in plain English, while also offering mechanisms to ensure their accuracy and thoroughness. This innovative approach not only fosters clarity but also encourages collaboration among teams in understanding governance requirements.