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Service-Centric CMDB: Flexible, Automated, Structured, Compliant

Q: How do I map dependencies and relationships between CIs?

For relations, there are, among other things: • CI Explorer for visual, interactive representation of CI relationships (impact, dependencies, troubleshooting). • n:m relations (many-to-many) including labels/icons/colors and optional metadata on the relation itself.

Q: How do I structure object types in a meaningful way?

You can use categories to group types (including hierarchically) and thus create a clear navigation/overview. This is particularly helpful when many teams and domains are documenting.

Q: What are “objects” and “types” in DataGerry?

Objects are the specific data records (e.g., “Server XY”), while types define structure and fields (e.g., host name, warranty date, status). An object is always based on exactly one type.

Q: What export options are available?

For example, types can be exported as JSON —useful for backup, versioning, or migration . This can be done via Toolbox → Exporter or directly from the type overview.

Q: What import options are available?

Via Toolbox → Importer , you can import various entities, including objects, types , and ISMS content such as threats, vulnerabilities, controls, and risks . CSV and JSON are supported for object imports, and the process is structured as a guided workflow.

Q: What is DataGerry?

DataGerry is an enterprise-grade open-source CMDB/asset management platform that allows you to define your own data models and manage any assets/entities. The focus is on flexibility rather than rigid schemas.

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Service-centric, because you can start by modeling your IT services.

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Flexible, because classes and fields can be extended at any time.

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Automated, because an integrated API platform enriches data and makes it usable for external systems.

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Structured, because templates and assistants simplify the setup and provide a clear framework.

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Compliant, because an ISMS aligned with ISO 27001 and NIS2 is an integral part of the platform.

From Data to Value

Build a Reliable Data Foundation in 4 Steps

1. Model

Use templates, define your own model, and extend it whenever needed.

2. Connect Data

Use integrations and connectors, enrich your data, and automate updates.

3. Operationalize Usage

Analyze impact and dependencies, assess change risks, and generate audit reports and evidence.

4. Create Added Value

Provide your data to other applications and processes such as asset accounting, reporting platforms, ticketing systems, configuration management, and observability tools.

Model

Connect Data

Operationalize Usage

Create Added Value

Key CMDB insights

FAQ – DataGerry CMDB

How do I map dependencies and relationships between CIs?

For relations, there are, among other things:
• CI Explorer for visual, interactive representation of CI relationships (impact, dependencies, troubleshooting).
• n:m relations (many-to-many) including labels/icons/colors and optional metadata on the relation itself.

How do I structure object types in a meaningful way?

You can use categories to group types (including hierarchically) and thus create a clear navigation/overview. This is particularly helpful when many teams and domains are documenting.

What are “objects” and “types” in DataGerry?

Objects are the specific data records (e.g., “Server XY”), while types define structure and fields (e.g., host name, warranty date, status). An object is always based on exactly one type.

What does “schema-free” or “Smart Flexible CMDB” mean

“Schema-free” means that you are not bound to fixed CI classes. Instead, you build your model using your own types (object types) and fields according to your organization’s needs – and you can expand it at any time.

What export options are available?

For example, types can be exported as JSON—useful for backup, versioning, or migration. This can be done via Toolbox → Exporter or directly from the type overview.

What import options are available?

Via Toolbox → Importer, you can import various entities, including objects, types, and ISMS content such as threats, vulnerabilities, controls, and risks. CSV and JSON are supported for object imports, and the process is structured as a guided workflow.

What is CI Explorer—and how do teams use it in practice?

CI Explorer displays relationships as a graph (parent/child, bidirectional) and helps with impact analyses, planning/audits, or uncovering incorrect relationships, for example. It can be accessed directly from the object detail view.

What is DataGerry?

DataGerry is an enterprise-grade open-source CMDB/asset management platform that allows you to define your own data models and manage any assets/entities. The focus is on flexibility rather than rigid schemas.

Cloud or self-hosted: What is the difference?

The documentation distinguishes between the cloud version and on-premises installation (self-hosted). Depending on the operating model, setup/update processes and access via the cloud management portal (service portal) differ.

How are users and authentication managed?

Users can be configured locally (user/password) or via LDAP. The authentication documentation also describes that upon successful authentication, a user is automatically created and can optionally be assigned to a predefined group (provider-based).

How do I control visibility and rights (ACL)?

Using the Access Control List (ACL), you can restrict or allow the visibility/display of object information for specific user groups, depending on the configuration. This setting can be found in the object type configuration.

How do webhooks work in DataGerry?

Webhooks automatically send HTTP POST requests when events occur—for synchronization, automation, and monitoring. According to the documentation, webhooks are currently evaluated for object events (CREATE/UPDATE/DELETE).

Is there a REST API – and where can I find the endpoints?

Yes. The API is documented and there is a Swagger-based view where you can see endpoints (e.g., also for webhooks). Here is a link to the documentation: https://docs.datagerry.com/en/latest/rest_api/overview.html.

What does the integrated ISMS in DataGerry (ISO 27001 / NIS2 context) do?

The ISMS module provides a configurable basis for repeatable risk analyses: risk classes, likelihoods, impacts, impact categories, protection goals, and a risk matrix. According to the changelog, the module also includes threats, vulnerabilities, controls/measures, risk assessments (assignable to risks, objects, or object groups), and reporting/SoA functions.

What is the fastest way to install DataGerry on-premises?

The documentation recommends Docker (with the provided docker-compose configuration) for the fastest start. Requirements include Linux OS and MongoDB > 6.0; Nginx is also recommended as a web server.

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Contact the DataGerry Team

Do you have questions or are you facing a particular challenge?
Our dedicated DatGerry team is happy to provide you with a consultation.

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Office Address
Hauptstraße 8b, 82008 Unterhaching, Germany

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E-Mail
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