Future-proofing your DAM selection
Event location - Online
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.
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.
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.
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.
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.
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.
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.
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.
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:
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
Schedule a demo with us today and discover how our solutions can revolutionize your asset management strategy.