XDM
PostgreSQL
PostgreSQL is a core platform for many modern applications, yet test data is often still handled with fragile scripts and manual dumps. XDM centralizes connections, environments and workflows so PostgreSQL data can be cloned, subsetted, masked and provisioned consistently across all stages. Teams work with business-centric models instead of raw schemas, while XDM automates data movement, consistency and compliance.
From ad-hoc scripts to repeatable PostgreSQL workflows
Instead of maintaining bespoke psql scripts or dump/restore procedures per team, XDM provides reusable tasks and workflows for PostgreSQL. Full copies, regular refreshes and selective extractions are defined once and can then be scheduled or triggered on demand. Wherever possible, XDM leverages the PostgreSQL COPY utility to achieve significantly higher throughput than row‑by‑row inserts. If COPY cannot be used in a given situation, XDM automatically falls back to an alternative loading method, so performance and compatibility are both covered without extra scripting effort.
From ad-hoc scripts to repeatable PostgreSQL workflows
Relational intelligence and cross-database subsetting
With XDM’s application and domain modeling, you describe entities like customers or contracts and their relations across PostgreSQL schemas and even other DBMS. Row-Level Processing then starts from a simple business criterion and automatically traverses all dependent tables to select a complete, consistent data slice. These models are defined once and reused across environments, so schema changes are handled centrally instead of breaking local scripts. The same mechanism supports both horizontal reduction and vertical reduction, enabling lean, purpose-fit PostgreSQL test datasets.
Relational intelligence and cross-database subsetting
Consistent masking and synthetic data on PostgreSQL
XDM’s modification engine applies anonymization and pseudonymization rules independently of the underlying system, so PostgreSQL is treated exactly like any other supported database. Masking methods are deterministic and can use existing PostgreSQL tables as lookup sources, ensuring realistic, referentially correct and GDPR-compliant test data. The same ruleset can be reused for both bulk copies and finely tuned subsets, keeping identities and relationships consistent across all environments. In addition, XDM can generate synthetic data from existing PostgreSQL records, scaling from a few ad-hoc cases to large volumes for performance and stress tests.
Consistent masking and synthetic data on PostgreSQL
Self-service and automation for PostgreSQL teams
Through the XDM Data Shop, non-technical users request PostgreSQL test data using business terminology and guided forms, without knowing schemas or SQL. Behind each order, a workflow orchestrates validation, copying, masking and optional approvals, ensuring that PostgreSQL test data flows comply with internal governance. The same processes are accessible via the public REST API and internal scheduler, allowing tight integration with CI/CD pipelines, external schedulers and test automation tools. This turns PostgreSQL test data provisioning into a fully automated, observable service instead of a collection of manual one-off tasks.
Self-service and automation for PostgreSQL teams
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Test Data Management
XDM is a complete test data management platform that enhances agile teamwork, automates test data workflows, and supports multiple databases with secure masking.
Mask sensitive data
Secure sensitive data with XDM’s Masking Tool. Protect privacy and ensure compliance with advanced data masking for all environments.