XDM Connectors

XDM unterstützt eine breite Palette an Connectors, die eine nahtlose Integration in Ihre Systemlandschaft ermöglichen.

Oracle Database

Nahtlose Integration und universelle Datenverarbeitung

XDM connects natively to Oracle Database, letting teams provision and mask test data directly from Oracle-based systems. It leverages Oracle Data Pump and SQL*Loader to provide high-speed data transfers between Oracle instances. All Oracle data types are handled and transformed into a unified internal format, making data comparison and cross-platform masking easy. XDM supports both traditional installations and Oracle cloud-compatible, pluggable databases, ensuring you can work across various environments without friction.

IBM Db2

Optimiert für mehrere Db2-Plattformen

XDM connects to IBM Db2 across mainframe and distributed platforms, enabling automated test data provisioning and masking for Db2-based applications. Supported platforms include Db2 on z/OS, LUW, and I Series. It utilizes platform-specific utilities (such as UNLOAD/LOAD on z/OS and Import/Export on LUW) to enable reliable and fast data copies. Structural and data type conversions are built in, as is support for LOB and XML data, with the ability to handle character encoding transformations (ASCII, Unicode, EBCDIC) automatically. Consistent masking is guaranteed across all Db2 types and other platforms.

VSAM

Mainframe-Zugriff und Modernisierung

XDM ermöglicht die Verwaltung von Testdaten für VSAM- und sequenzielle Datensätze auf IBM-Mainframes. Über seinen FileBridge Server (auf z/OS betrieben) ermöglicht XDM den direkten Zugriff und die Erstellung virtueller Ansichten mithilfe von COBOL-Copybooks. Massendatenoperationen werden mithilfe von DFSORT optimiert. Die Daten werden typischen relationalen Typen zugeordnet, das die Integration mit relationalen und Cloud-Datenbanken einschließlich automatisierter plattformübergreifender Übertragungen ermöglicht.

PostgreSQL

Datenvielfalt und Geschwindigkeit

XDM connects to PostgreSQL, enabling automated provisioning and masking of test data for PostgreSQL databases. It uses the native COPY utility to enable quick, efficient data movement. All PostgreSQL data types are normalized into a unified form, allowing for straightforward comparison, transfer, and consistent masking across different database systems.

Microsoft SQL Server

Plattformübergreifende Flexibilität

XDM connects to Microsoft SQL Server, automating test data delivery and masking for SQL Server-based applications. Integration is direct on Windows, Linux, and Azure. Data transfer is accelerated using the BCP utility, and XDM can also generate BCP files directly. All SQL Server data types are handled uniformly, providing easy cross-platform comparison and masking. Azure SQL DB is also supported for cloud-native use cases.

IBM IMS

Hierarchische Daten, relationale Zweckmäßigkeit

XDM integrates with IBM IMS to extract and prepare hierarchical database records for safe use in non-production environments. With IMS Connect, XDM accesses hierarchical IMS data and maps it to a relational model. “Hidden” columns that link segments are made visible, and XDM transforms data types to unify them—enabling comparison, transfer, and consistent masking even between IMS and other relational or cloud databases.

Google BigQuery

Cloud-native Data Lakes und Integration

XDM connects to Google BigQuery, enabling automated test data delivery into cloud-based analytics environments. Using the BigQuery Streaming API, XDM facilitates rapid data transfers within Google BigQuery environments. Data types are unified for easy comparison and masking. BigQuery is often used as a data lake for collecting, masking, and distributing test data, enabling subsequent distribution to other platforms such as Oracle, Db2, or SQL Server.

Snowflake

Unterstützung für moderne Data Warehouses

XDM connects natively to Snowflake, enabling automated test data delivery into cloud data warehouses. XDM rapidly moves test data within and across Snowflake environments, using efficient SQL data transport and batch capabilities. Snowflake-specific data types are normalized, with consistent masking and easy integration of test data workflows across on-premise or other cloud platforms.

CSV & Flat Files

Universeller Datenaustausch

XDM unterstützt den Import und Export von CSV- und Flatfiles. Dies ermöglicht eine flexible Datenmaskierung, -extraktion und -übertragung zwischen praktisch allen Systemen, die CSV lesen oder schreiben können, einschließlich Legacy- oder Nischenanwendungen.

Apache Kafka

Flexible Streaming-Datenintegration

XDM integrates with Apache Kafka to provision and stream test data into event-driven and real-time processing pipelines. Reading from and writing to Kafka topics is fully supported, bringing streaming data into your test data management processes. Users can specify a variety of message filters, including partition, timestamp, or offset, to precisely select which messages should be processed. XDM ensures that messages can be imported into target systems while preserving their original chronological order. Additionally, XDM provides robust data masking and anonymization capabilities for message contents, ensuring compliance and privacy when transferring sensitive data.

Generic JDBC

Vielseitige Datenbankkonnektivität

XDM connects to any database with a JDBC driver, extending test data provisioning and masking to systems without a dedicated connector. This includes a wide range of relational databases, key-value stores, and document databases. Users can read, modify, and write data using standard SQL queries, with support for high-performance operations tailored to specific project needs.

Webservices und APIs

Nahtlose Integration mit modernen Anwendungen

Der XDM Webservice Connector ermöglicht Unternehmen schnellere und sicherere Releases, indem REST APIs zu gesteuerten, wiederverwendbaren Testdaten-Pipelines werden. Er extrahiert vollständige Business-Datensätze über verknüpfte Endpoints, spielt sie automatisiert in Ziel-Services ein und wendet konsistente Maskierung/Transformation an; weniger manueller Aufwand, geringeres Risiko, weniger Abhängigkeit von API-Experten.

XDM Connectors FAQs

What are XDM Connectors?

XDM Connectors are integrations that link XDM with source systems, target systems, and non-production environments. They help organizations move data into and out of XDM workflows more efficiently.

Why are connectors important for test data management?

Connectors simplify the practical work of extracting, protecting, subsetting, provisioning, and delivering test data across enterprise systems. That makes workflows easier to operationalize and scale.

How do connectors improve automation?

Connectors reduce manual integration work and make data movement more repeatable. This supports more consistent provisioning and refresh workflows across teams.

Are connectors important in enterprise environments?

Yes. In enterprise environments, test data rarely lives in one place. Connectors help standardize workflows across multiple systems, applications, and teams.

What role do connectors play in scaling XDM?

Connectors help organizations extend XDM across more applications and environments by reducing the friction involved in connecting systems and operationalizing data workflows.