Data Platform

What is a data pod?

A data pod is a set of virtual data environments and controls built by the Delphix Data Platform and delivered to users for self-service data consumption.

What is in a Data Pod?

Virtual Data Environments

One or more lightweight data environments that provide full access to source data. For example, a data pod may reference multiple databases that can be refreshed to a common point in time in minutes.

Dynamic Data Controls

Self-service data version controls that enable consumers to quickly replace the data within virtual data environments through refresh, branches, bookmarks, sharing, and reset. For example, a QA engineer might find a bug and bookmark the state for a developer to later recreate in their own datapod.

Governance Attributes

A set of immutable properties defined during the data pod construction process that can control data access and integrate into data governance workflows. For example, a data pod may only be able to access masked data, operate in HIPAA-compliant environments, or be tracked for chargeback to the line of business owner.

What are the characteristics of a data pod?


Data users get their own independent data pod, with self-service control over the data they need to get their job done.


Regardless of source data location, data pods are everywhere your data and users are, across on-premise datacenters, private, and public clouds.


Governance attributes can limit access only to masked data, provide role-based controls to limit user access, and audit trails for governance.


Virtual data environments reference data stored efficiently within the Delphix Data Platform, and can quickly be created, modified, or destroyed on demand without impact to source systems.


Data pods can be created easily from any source data, with dynamic data controls to quickly and easily change state. Data can be refreshed from any point in time, reset to any previous state, organized into branches, bookmarked, and shared with other users.

What capabilities does a datapod enable?

With data pods, data operators can now:


Secure data with automated and custom masking to ensure compliance before distribution

Virtualize with compression

Virtualize with compression to create lightweight virtual copies continuously synced with source data


Automate tasks to eliminate manual effort and coordination challenges


Replicate easily to move data for cloud migration or backup/DR

View and Manage

View and manage test & copy data environments across users

Data consumers can now:


Refresh your personal virtual copy anytime & get the latest production data


Share copies of data among and across teams


Bookmark important changes or business events to come back to later


Restore your data to a specific change, bookmark, or point in time


Version control your data sources, just like your code


Branch copies of data for collaboration