top of page
  • Writer's picturekyle Hailey

It’s about : Data Supply Chain

There have been a number of questions coming my way about Delphix versus snapshot technologies. The capabilities of Delphix can be differentiated from snapshot technologies through the following hierarchy:

  1. Data Supply Chain (Delphix approach to data management)

  2. Data Virtualization (end-to-end collection and provisioning of thin clones)

  3. Thin Cloning

  4. Storage Snapshots

On top we have the most powerful and advanced data management features that enable fast, easy, secure, audit-able data flow through organizations.

Data Supply Chain is built on top of other technologies. On the bottom we have the minimal building blocks starting with storage snapshots.  Storage snapshots can be used to make “thin clone” databases. Storage snapshots have been around for nearly 2 decades but have seen little usage for database thin cloning due to the technical and managerial hurdles. Part of the difficulty with creating thin clones is that thin cloning requires work by multiple people and/or teams such as as DBAs, system admins, storage admins etc it takes to create the thin clones.

In order to overcome the obstacles creating thin clones, all the steps can be optimized and automated in a process called data virtualization.

Data Virtualization is just the first step in automation. The next step is adding all the processes, functionality and control to manage the virtual data which is Data Supply Chain.

File system snapshots such as ZFS address the very bottom of the hierarchy, that is, they only manage storage snapshots. They have no automated thin cloning of databases. Without automated thin cloning of databases there is no end-to-end processing of data from source to thin cloned target i.e. data virtualization. With out data virtualization there is no data supply chain.

Data Supply Chain  features, all of which are encompassed by Delphix, include

  1. Security

  2. Masking

  3. Chain of custody

  4. Self Service

  5. Login and Roles

  6. Restrictions

  7. Developer

  8. Data Versioning and Branching

  9. Refresh, Rollback

  10. Audit

  11. Live Archive

  12. Modernization

  13. Unix to Linux conversion

  14. Data Center migration

  15. Federated data cloning

  16. Consolidation

Data Supply Chain re-invents data management and provisioning by virtualizing, governing, and delivering data on demand.

Most businesses manage data delivery with manual, ad hoc processes: users file change requests, then wait for DBAs, systems administrators, and storage administrators to push data from system to system, bogging down production applications, networks, and target systems with long load times. Data delays cost businesses billions a year in lost productivity and low utilization of systems and software resources.

As a result, there  an enormous opportunity to optimize data management. Data management can be optimized with  data supply chain yielding significant business impact:

  1. Drive revenue, competitive differentiation with faster application time to market

  2. Enable faster growth via better release management of enterprise applications

  3. Improve customer intimacy, upsell, cross-sell with faster, more flexible analytics

  4. Free budget for innovation by reducing IT maintenance costs

  5. Reduce compliance risk through better governance, data security.

Businesses need to manage data as a strategic asset across their operations, applying the same rigor as supply chain optimization for manufacturing companies.

Data Supply Chain Transformation Process with Delphix

Delphix applies a three-step process to transform the data supply chain:

  1. Analyze: survey systems, processes, teams across data supply chains

  2. Transform: virtualize, automate data delivery with centralized governance

  3. Leverage: drive business value via new data products, process optimization

Businesses typically manage multiple data supply chains simultaneously, all of which are targets for data chain optimization:

  1. Compliance retention, reporting

  2. Modernization, migration projects

  3. Application projects and development

  4. BI, analytics

  5. Data protection.

Delphix re-invents the data supply chain with its Virtual Data Platform:

  1. Install data engines in hours across all repositories, locations (including cloud)

  2. Connect: non-disruptively sync data across sites, systems, architectures

  3. Control: secure data, track release versions, preserve and prove data history

  4. Deploy: automatically launch virtual data environments in 10x less space, time

  5. Leverage data with self service refresh, reset, branching, bookmarks, integration.

According to an IDC study, Delphix pays for itself in IT savings, with an average payback of 4.3 months.

0 views0 comments


bottom of page