Power of Your Data: 5 Key Benefits of Graph Databases in Digital Asset Management

  1. chevron left iconPower of Your Data: 5 Key Benefits of Graph Databases in Digital Asset Management
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Josh Van DykAugust 26, 2024
  • Digital Asset Management
  • Product Information Management
  • Omnichannel content management
  • Retail & CPG
  • Banking & Insurance

Power of Your Data: 5 Key Benefits of Graph Databases in Digital Asset Management

In the fast-paced world of digital asset management (DAM), speed and efficiency are paramount. Traditional systems, often hampered by folder-based or relational databases, struggle to keep up with the demands of modern enterprises. Enter graph databases: a revolutionary approach that transforms how businesses store, manage, and retrieve digital assets. By leveraging a semantic network, graph databases offer unprecedented speed, flexibility, and accuracy, ensuring that your DAM system is not just a repository, but a powerful tool for innovation and growth.

This blog will dive into the top five benefits of using a graph database and how it can transform your asset management strategy.

1. Automatic Relationship Management

Managing relationships between assets can be a headache in traditional DAM systems. You might struggle to keep track of which assets are linked to which folders or projects. Graph databases store relationships directly in their structure, presenting a big, interconnected web where every asset knows precisely how it's related to others. This visibility allows you to see all connections at a glance.

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For example, updating a logo used in multiple campaigns becomes a breeze. Instead of manually checking each instance, a graph database shows every place that the logo is used, enabling a single update to automatically reflect across all connected assets.

This automatic relationship management saves you time and reduces errors, ensuring everything stays consistent and up-to-date.

2. An Actual Single Source of Truth

Every DAM claims to create a single source of truth. However, traditional folder-based DAM systems often result in duplicates scattered across different folders, making it hard to identify the latest version.

For example, multiple teams may need the same asset in different folder structures. Typically, when this happens, each team will copy and paste the asset into various folders, creating duplicates. On top of that, they are usually editing this asset, which creates multiple versions. When someone searches for this asset, they will find it in multiple folders and not know which version is the latest version.

Graph databases solve this problem as each asset exists only once. That asset can then be related to multiple folders and projects. If the asset is updated, that update is reflected in every folder in which it exists.

This ensures everyone always works with the most current version, eliminating duplicates and reducing clutter and confusion.

Working in a graph database is the only way to create a true single source of truth.

Your team can confidently work on projects, knowing they’re always accessing the latest and correct version of every asset.

3. Building Powerful Compound Assets

Graph databases excel at creating powerful compound assets. Traditional systems often treat each asset as separate entities, making it hard to see how they work together. With a graph database, you can link related assets to form a complete picture.

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For example, a product asset is a great example of a compound asset. A product asset brings together many different asset types to make a complete product. It brings together all related product attributes, images, videos, product descriptions, and disclaimers into one well-organized asset. As a result, each asset can be managed individually with its own workflow. In addition, any changes would reflect within the product and everywhere the product exists (marketing material, websites, data sheets, etc.). This makes it effortless to keep everything up-to-date and consistent.

4. Flexible and Evolving Data Structures

Traditional databases have rigid structures, requiring you to know exactly how your data will be organized from the start. Graph databases, however, offer a flexible schema that can adapt and grow with your needs.

Imagine managing a library of images. Initially, you might store basic info like file names and dates. Later, you might add details like the photographer, location, or camera type. In a graph database, this evolution is seamless. An image can link to the product, the model, the photographer, and even the shoot location, adding depth and context to your data.

Using a graph database means you’re not boxed in by a rigid structure. Instead, you get a dynamic and adaptable system that grows with you.

Having a graph database to build compound assets improves how you work and collaborate, ensuring seamless project integration.

5. Hyper-fast Search Results

No matter which vendor you speak to, search results in a DAM system demo will always appear quickly. Why? Because demo systems typically contain very few assets. However, most DAM systems lack the backend architecture to support more than a couple million assets. Once a large amount of data is in the system, you often encounter the dreaded spinning beach ball every time you try to load an asset or work with large files. This leads to wasted time, frustration, and poor user adoption.

Imagine needing to find a specific image out of millions stored in your system. It could be a real pain, right? Traditional DAM systems, especially those using folders or relational databases, slow down significantly when handling large volumes of assets.

Graph databases change this dynamic. They create a semantic network of connections, like a smart spider web, allowing for significantly more rapid searches. The database follows these connections when you look for something, delivering results in a flash.

So, if speed is what you need, switching to a graph database is a game changer.

Looking for a DAM system for your graph databases? You’ve just found one.

Meet censhare, your ultimate tool for managing digital assets. With censhare, every image, video, and document is right at your fingertips. Say goodbye to the hassle of hunting for the latest versions. Automate your content production and focus on creating, not managing.

The censhare Difference:

  • Graph Database: Manage complex relationships between assets, ensuring quick access and seamless integration of all your media elements.
  • Open Architecture: Easy integration with existing systems and the flexibility to adapt to evolving technology needs.
  • Enterprise Scalability: censhare’s robust platform is designed to grow with your enterprise, efficiently managing expanding workflows, user bases, and digital assets without compromising performance.
  • Additional Modules: censhare’s additional modules allow your organization to expand its capabilities to create a comprehensive solution tailored to your needs.

DAM (Digital Asset Management)

PIM (Product Information Management)

CMS (Content Management System)

MAM (Media Asset Management)

Marketing Project Planning

Dynamic Templating

Localization and Translation

Print Production Management

Web CMS

Headless CMS

Ready to see the difference a graph database can make for your DAM system?

Schedule a demo with us today and discover how our solutions can revolutionize your asset management strategy.

Josh Van Dyk Headshot.jpg
Josh Van Dyk
As Vice President, North American Sales for censhare US, Josh oversees the censhare solution consultants, and sales teams for North America, and has over 15 years of tech experience in the software industry. Over the last several years at censhare, he has had the opportunity to help many companies benefit from implementing a truly unified enterprise DAM, and understands the value of helping companies knock down data silos and create RIO through automation.

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