Excire Blog

Digital Asset Management vs Media Asset Management: An In-Depth Comparison

If you’re trying to determine the right platform for managing your digital assets, then you’ve likely come across two key terms: 

Digital asset management, or DAM.

And media asset management, or MAM. 

Both DAM systems and MAM systems share plenty of features, but they’re designed for different use cases. As a result, MAMs contain specialized features that DAMs lack; conversely, many organizations prefer DAM solutions for their wider-ranging capabilities. 

To make matters more confusing, while DAMs and MAMs are technically distinct, more and more Digital Asset Management systems have begun incorporating tools and features that traditionally belonged to MAMs. And Media Asset Management systems, while still relatively specialized, have broadened their capabilities to address problems traditionally handled by DAMs. 

Given these overlaps, it can be hard to know which solution you truly need. Below, I explain the differences, the overlaps, and the practical factors that should guide you as you consider DAMs vs MAMs—and I lean heavily on real-world examples to illustrate how each approach plays out in organizational environments. 

Let’s get started!

What Is a Digital Asset Management System?

Excire Foto Office Edition digital asset manager screenshot showing AI tagging capabilities
Excire Foto Office Edition is a digital asset manager, not a media asset manager—though it does include some video management capabilities!

A Digital Asset Management system (more frequently referred to as a DAM system, as explained above) is a centralized repository that stores, organizes/enriches, and distributes digital files: images, logos, documents, presentations, 3‑D models, audio, and video. 

While there are dozens of DAMs on the market, each with subtle (and not-so-subtle) differences, DAMs generally contain these core features: 

  • Ingestion & Versioning – DAMs allow users to import files in bulk, preserve originals, and track revisions.
  • Metadata & Tagging – DAMs enable users to upload and apply a wide variety of metadata (often with the help of AI), including descriptions and tags that make assets searchable.
  • Search & Retrieval – DAMs allow users to efficiently retrieve specific files (either individually or in bulk) by keyword, date, usage rights, file type, or custom taxonomies. 
  • Permissions and Security – DAMs are designed with (often role-based) permissions to control who can view, download, or edit each asset.
  • Distribution & Integrations – DAMs serve digital asset workflows from end to end, often offering easy external sharing of assets, as well as integrations that let users push approved assets directly into CMS software, marketing automation tools, and design tools.

The primary purpose of DAMs is to manage heterogeneous libraries for marketing, e‑commerce, brand management, and corporate communications. Typical DAM users include brand managers, graphic designers, photographers, and content marketers, though the rapid expansion of video over the past decade has ensured that DAMs do generally offer basic video support (at a minimum). 

Several people collaborating around a computer in an office

In other words, DAMs are designed for breadth over depth; you can expect a good DAM system to effectively handle a wide variety of file types for a wide variety of clients.

(I will note, however, that certain DAMs do specialize in managing specific file types. For instance, M-Files is a document-focused manager, which is why you’ll sometimes see it referred to as a Document Management System, or DMS. And Excire Foto Office Edition is a photo-centric DAM that won’t handle documents but offers extensive support for image files and video.) 

What Is a Media Asset Management System?

Iconik media asset management system website screenshot emphasizing media collaboration
Iconik is a media asset manager designed for video and audio file management.

Media Asset Management systems (also known as MAMs) are sometimes categorized as DAMs, but with a focus on video and audio files (as well as video and audio workflows).

MAMs evolved out of the broadcast and post‑production worlds, where video and audio take priority. Once you understand how DAMs work, you’ll have a reasonably good understanding of MAMs, since these systems also ingest, tag, secure, and distribute files. However, MAMs often add specialized capabilities for long‑form, time‑based media, such as:

  • Frame‑accurate proxies – These are lightweight, viewable copies of media files that enable users to scrub, annotate, and cut footage without needing to access the originals.
  • Time‑coded metadata – Comments, markers, transcription text, and review notes are tied to exact time‑stamps, which helps streamline editing and approval workflows.
  • Editing integrations – MAMs are frequently designed to integrate smoothly with popular high-end video editors such as Adobe Premiere Pro and Final Cut Pro so editors can seamlessly retrieve footage from within their main editing workspace.
  • Workflow automations – MAMs often offer specific automations for transcoding, audio‑splitting, and creation of deliverables.
  • Storage tiering – Some MAMs allow users to move high‑res masters to cold storage while keeping proxies online for fast search.

These features make MAM systems indispensable to broadcasters, film studios, sports leagues, and in‑house video teams juggling terabytes of footage every week.

Video equipment set up in a studio getting ready to film

DAMs vs MAMs: The Key Differences

At this point, you know that DAMs are an effective solution for managing multiple file types, while MAMs are centered on video (and audio) workflows.

But what if you’re the head of a marketing agency that frequently deals with video files in addition to photos, press releases, logos, and the like? Or you’re a wedding videographer who works closely with photographers to deliver a comprehensive photo & video package to clients? Or you’re an up-and-coming content creator who specializes in video footage but doesn’t require many of the features that MAMs offer? 

In all of the above cases, the solution isn’t so obvious. That’s when it’s important to understand the practical differences between the two systems, which I cover below. 

File-Type Coverage

When it comes to primary file types, Digital Asset Management platforms aim to be universal libraries. They catalog images, design files, documents, slide decks, and other graphics‑centric formats—anything a marketing or brand team might touch. 

Media Asset Management systems, by contrast, are built around time‑based media. Their core strengths lie in handling video, multitrack audio, and motion‑graphics files that need frame accuracy and high‑bandwidth playback.

For instance, Iconik is a MAM that ingests virtually any professional video wrapper and codec, generates frame‑accurate proxies, and even offers edit‑ready proxy creation for RAW video formats such as BRAW and Canon CRM.

But it doesn’t offer native support for still‑photo RAWs like .NEF or .CR2, which can be a real problem for users looking to manage high-quality original photos.

On the other hand, as I mentioned above, video support offered by DAMs is often limited. For instance, Excire Foto Office Edition, which is a photography-first DAM that also caters to videographers, handles mainstream image formats plus common video containers such as MP4, MOV, MPEG, and M4V. But codecs outside that mainstream can be more complex—or impossible—for the software to manage. 

Takeaway: If your archive leans heavily on RAW stills, a video‑centric MAM may fail to offer the necessary support. Conversely, if you need native playback for non-mainstream codecs, a photo‑centric DAM will likely require external transcoding.

Metadata Depth & Review Workflows

Excire Foto Office Edition digital asset manager with metadata displayed

One of the core differences between DAM and MAM platforms lies in how they handle metadata—specifically, the depth at which information is applied to media assets.

Digital Asset Management (DAM) systems typically operate at the asset level. For example, Excire Foto Office Edition uses AI to automatically tag videos based on representative frames. This means a video clip can be labeled with descriptive terms like „sunset“ or “agriculture” or “zebra” without requiring manual input. As a result, users can rapidly search across their entire database for one specific clip, which is ideal for marketing departments or social media teams who need to find and deploy visual content quickly without diving into frame-by-frame specifics.

Media Asset Management (MAM) systems go deeper. Platforms like Iconik are capable of tagging specific moments within a clip. Each note, comment, AI-identified object, or transcript line is timestamped, and this makes it possible for producers, editors, or reviewers to search for (and reference) not just clips, but individual frames. And thanks to MAM software integrations, it’s often possible to open those precise frames inside editors such as Adobe Premiere Pro or Final Cut Pro. These capabilities streamline the editing, review, and approval process for long-form content, interviews, multi-camera shoots, and more—basically, whenever you’re working with video and/or audio and precise timing matters.

This distinction is crucial: While time-coded metadata is often unnecessary for managing short promotional clips or image-heavy brand libraries, it becomes essential when users need to access specific moments buried within hours of footage.

Takeaway: If your team works with short-form footage or doesn’t need to apply metadata on a granular level, asset-level tagging in a DAM will suffice. But if pinpointing exact moments in video is part of your daily workflow, time-coded metadata from a MAM is indispensable.

Collaboration Model: External Delivery vs Internal Post‑Production

Several monitors in a video production environment showing clips and audio being edited
Need to collaborate during video editing? A MAM might be the better choice.

Both DAMs and MAMs are designed to keep your organization’s files accessible, but digital asset managers do tend to include robust sharing features. For instance, a marketing agency tasked with producing flyers, logos, and infographics for a client’s Black Friday campaign will often need a professional delivery mechanism, which they can use to send assets to the client company as soon as they’re ready for use. 

Of course, asset sharing can be done via platforms such as Dropbox or Google Drive—but in addition to adding extra steps to the content-production workflow, they also don’t offer much in the way of branding or presentation, which can make the delivery feel unpolished and make for a lackluster client experience. 

That’s where DAM delivery features come in handy. Generally speaking, DAMs are designed with external sharing and brand distribution in mind; they excel at getting content out the door quickly, effectively, and aesthetically. Many platforms allow users to share content via custom links, CDN-optimized versions, or automated FTP/SFTP transfers, and some include the ability to customize the sharing platform to match the client’s brand. 

MAM platforms, on the other hand, are often designed for internal creative workflows. Features center around collaborative editing and feedback cycles. Once internal approvals are finalized, the finished product is exported to external channels—often by handing it off to a DAM or CMS for distribution.

Takeaway: If you care about fast and polished external delivery, go with a DAM. If your focus is efficient collaboration and editing before release, a MAM will serve you better.

Integration and Automation Capabilities

Finally, DAMs and MAMs have very different integration capabilities, which plays a critical role in how smoothly media assets move through your organization’s ecosystem. 

On the DAM side, integration is generally centered around creative tools used in content preparation and brand publishing. These platforms tend to offer strong connections with marketing systems, such as content management systems (CMS), product information management (PIM) tools, and e-commerce platforms, which makes them well-suited for fast-paced promotional workflows.

MAM systems, by contrast, excel in connecting with post-production tools and managing time-based workflows. You can expect your MAM system to integrate seamlessly with non-linear editing (NLE) platforms like Adobe Premiere Pro and Final Cut Pro; MAMs also typically plug into transcoder APIs and other backend services that handle proxy generation, format conversion, and real-time review sessions.

When it comes to automation, the difference becomes even more pronounced. DAMs usually offer basic automated workflows—for example, resizing an approved file and publishing it to a web portal. This suits simple, linear workflows where assets need minor processing before distribution. MAMs, on the other hand, can support far more complex chains. Iconik allows users to set up sequences that automatically generate proxies, initiate AI transcription, assign review statuses, and notify team members, all of which are essential in post-production environments where the editing process is highly structured and involves many collaborators.

Note: Some high-end DAMs do offer more sophisticated automation engines. However, they’re often less focused on time-based workflows compared to MAMs.

Takeaway: Choose a DAM for broad marketing integrations and simple automations; opt for a MAM if your workflows demand deep editing tool support and complex, multi-stage automation pipelines.

Should You Choose a DAM or a MAM? 

For certain users, the choice is simple: 

If you need heterogeneous file support and don’t work with (much) video, choose a DAM. 

And if you’re heavily invested in the production and management of time-based media, choose a MAM. 

However, as I emphasized above, things are often more complex. Of course, your decision ultimately comes down to your own workflows and preferences, but here are my thoughts: 

If your organization manages tens of thousands of graphics, documents, and/or product photos but only produces the occasional short promotional reel, you will almost certainly benefit more from a DAM. A DAM’s universal file support, quick external‑sharing tools, and basic automation features will offer everything you need without burdening you with post-production integrations you’ll rarely use.

A computer monitor showing Excire Foto Office Edition with a picture of businesspeople high-fiving
Excire Foto Office Edition is a lightweight DAM with outstanding photo & video management features.

A DAM is also the better choice if your organization must push approved campaigns to agencies, journalists, and social channels moments after sign‑off. Features like CDN acceleration, branded portals, and automated FTP or SFTP drops make a DAM the natural hub for fast, friction‑free external distribution, even if you use a separate MAM to handle heavy video editing upstream.

But if you’re running a boutique studio that shoots an even mix of still photographs and YouTube videos, you face a genuine fork in the road. The deciding factor is which matters more: outbound publishing or upstream editing. If rapid delivery to clients and social platforms is paramount, a DAM with competent video features will suffice. If collaborative editing speed is the bigger bottleneck, a lightweight MAM may be the smarter first step.

A screenshot of the Iconik media asset management system website
MAMs like Iconik cater to production environments, not all-around content producers and marketing agencies. 

Pick Your Asset Manager and Get Started!

At the end of the day, the DAM vs MAM debate is really about specialization. A DAM handles digital assets in the broadest possible sense, whereas a MAM focuses on the demands of time‑based media. 

If your primary goal is to organize, locate, and reuse brand assets across teams, start with a DAM. (If you’re working primarily with photos and videos, I really like Excire Foto Office Edition for its intuitive AI tagging, powerful search features, and growing video muscle. Plus, it’s an on-premise DAM, which comes with some additional benefits.) On the other hand, if you churn through terabytes of footage and need time‑coded review at scale, a hybrid‑cloud MAM is probably the better choice.

The smartest choice ultimately aligns with your team’s content mix, storage realities, and production tempo. Take inventory of those factors—then make your choice!

Excire Foto Office Edition

The Excire Photo Office Edition is a special solution for companies and team use. In addition to the usual AI power for simple and intuitive photo management, it has the following additional features:

  • Hide option for irrelevant keywords
  • Function to adopt folder names as keywords
  • Sharing via SFTP
  • Two-stage role concept
  • Right-of-use period as a supplement to the metadata and corresponding filter option
  • Shared database on a network drive

Sprachen & Version

Supported languages

German & English

Current version

1.1.1

Minimum system requirements

Processor

Mehrkernprozessor mit 64-bit und AVX Unterstützung
Multi-core processor with 64-bit and AVX support. Older AMD processors like the AMD Phenom™ II X6 1100T and AMD Phenom™ II X (also known as AMD Athlon II X4 640) are not supported. Intel Core 2 Duo processors are not supported.

Operating system

macOS 11 (or newer) or Windows 10 (64-bit) or Windows 11 (64-bit)

Memory

Minimum 8GB RAM is required. However, 16GB or more is recommended.

Hard disk

The Excire databases require about 250 MB for 100,000 photos.
The preview storage will then be about 25 GB
at the highest quality, including raw formats,
and when a preview is generated for each photo.

Excire Search 2024 - Trial

Sprachen & Version

Supported languages
German, English, French, Italian and Spanish
Current version

4.0.0

Minimum system requirements

Processor
Multicore processor with 64-bit and AVX support Older AMD processors like AMD Phenom(tm) II X6 1100T and AMD Phenom(tm) II X (also known as AMD Athlon II X4 640) are not supported. Intel Core 2 Duo processors are not supported.
Operating system
macOS 10.14 (or newer) or Windows 10 (64-bit) or Windows 11 (64bit)
Memory
8GB RAM. However, for large catalogs (> 100,000 photos) we recommend 16GB or more
Hard disk
375 MB of free hard disk space for the base installation and additional memory for image signatures. For example, an Adobe Lightroom catalog of 100,000 images requires about another 800 MB of additional memory.

Excire Search 2024

Excire Search is the perfect solution for all Adobe Lightroom Classic users. The smart Lightroom plugin analyzes and tags photos automatically and extends Lightroom with powerful AI search functions. With just a few clicks, Excire Search finds exactly the photos you are looking for. This makes image management fun again and hours of image searching a thing of the past. 

Available for Windows and macOS and now brand new in the 2024 version with integrated duplicate finder!

Sprachen & Version

Supported languages
German, English, French, Italian and Spanish
Current version

4.1.1

Minimum system requirements

Processor
Multicore processor with 64-bit and AVX support Older AMD processors like AMD Phenom(tm) II X6 1100T and AMD Phenom(tm) II X (also known as AMD Athlon II X4 640) are not supported. Intel Core 2 Duo processors are not supported.
Operating system
macOS 10.14 (or newer) or Windows 10 (64-bit) or Windows 11 (64bit)
Lightroom (Classic)
Version 6 (or newer)
Memory
8GB RAM. However, for large catalogs (> 100,000 photos) we recommend 16GB or more
Hard disk
375 MB of free hard disk space for the base installation and additional memory for image signatures. For example, an Adobe Lightroom catalog of 100,000 images requires about another 800 MB of additional memory.

Excire Search 2022 - Trial

Sprachen & Version

Supported languages
German, English, French, Italian and Spanish
Current version
3.1.1

Minimum system requirements

Processor
Multicore processor with 64-bit and AVX support Older AMD processors like AMD Phenom(tm) II X6 1100T and AMD Phenom(tm) II X (also known as AMD Athlon II X4 640) are not supported. Intel Core 2 Duo processors are not supported.
Operating system
macOS 10.14 (or newer) or Windows 10 (64-bit) or Windows 11 (64bit)
Memory
8GB RAM. However, for large catalogs (> 100,000 photos) we recommend 16GB or more
Hard disk
375 MB of free hard disk space for the base installation and additional memory for image signatures. For example, an Adobe Lightroom catalog of 100,000 images requires about another 800 MB of additional memory.

Excire Foto 2024 - Trial

Note for existing Excire Foto customers: Excire Foto users have to keep in mind for testing that the previous Excire database will be modified when the program is started for the first time. Thus a switch back to older versions is not possible without a backup. We therefore recommend creating a backup before using Excire Foto 2024. How to do this is described here.

Sprachen & Version

Supported languages
German & English
Current version

3.2.0

Minimum system requirements

Processor
Multi-core processor with 64-bit and AVX support Older AMD Prozessoren like AMD Phenom(tm) II X6 1100T und AMD Phenom(tm) II X (also known as AMD Athlon II X4 640) are not supported. Intel Core 2 Duo processors are not supported.
Operating system
macOS 10.14 (or newer) or Windows 10 (64-bit) or Windows 11 (64bit)
Memory
Minimum 8GB RAM is required. However, 16GB or more is recommended.
Hard disk
The Excire Foto databases will take up approx. 250MB for 100,000 photos, and the previews approx. 25GB if highest-quality previews are generated for each photo.

Excire Search 2022

Excire Search is the perfect solution for all Adobe Lightroom Classic users. The smart Lightroom plugin analyzes and tags photos automatically and extends Lightroom with powerful AI search functions. With just a few clicks, Excire Search finds exactly the photos you are looking for. This makes image management fun again and hours of image searching a thing of the past. 

Available for Windows and macOS and now brand new in the 2022 version with integrated duplicate finder!

Sprachen & Version

Supported languages
German, English, French, Italian and Spanish
Current version
3.1.1

Minimum system requirements

Processor
Multicore processor with 64-bit and AVX support Older AMD processors like AMD Phenom(tm) II X6 1100T and AMD Phenom(tm) II X (also known as AMD Athlon II X4 640) are not supported. Intel Core 2 Duo processors are not supported.
Operating system
macOS 10.14 (or newer) or Windows 10 (64-bit) or Windows 11 (64bit)
Lightroom (Classic)
Version 6 (or newer)
Memory
8GB RAM. However, for large catalogs (> 100,000 photos) we recommend 16GB or more
Hard disk
375 MB of free hard disk space for the base installation and additional memory for image signatures. For example, an Adobe Lightroom catalog of 100,000 images requires about another 800 MB of additional memory.

Excire Foto 2024

Excire’s flagship program boasts dazzling new features and enhanced AI technology. All-new tools offer AI-powered free-text search, GPS-search, and intelligent aesthetics assessment of individual photos. Additionally, AI upgrades ensure better results in facial recognition, similarity search, and automatic keywording.

Excire Foto 2024 retains all core features from Excire Foto 2022, and the Excire Analytics extension is now fully integrated into the new program.

Highlights of the 2024 version include:

  • X-prompt AI for powerful free-text image search
  • X-tetics AI for instant evaluation of photos
  • GPS-based search and editable GPS coordinates
  • Intuitive slideshow maker for professional photo displays
  • New status labels for folders and collections
  • Improved AI-search performance thanks to revamped AI models

Excire Account Management and Activation

Sprachen & Version

Supported languages
German & English
Current version

3.2.0

Minimum system requirements

Processor
Multi-core processor with 64-bit and AVX support Older AMD Prozessoren like AMD Phenom(tm) II X6 1100T und AMD Phenom(tm) II X (also known as AMD Athlon II X4 640) are not supported. Intel Core 2 Duo processors are not supported.
Operating system
macOS 10.14 (or newer) or Windows 10 (64-bit) or Windows 11 (64bit)
Memory
Minimum 8GB RAM is required. However, 16GB or more is recommended.
Hard disk
The Excire Foto databases will take up approx. 250MB for 100,000 photos, and the previews approx. 25GB if highest-quality previews are generated for each photo.

Excire Foto 2022

Excire Foto 2022 is a powerful and innovative software designed for easy photo management and quick content-based browsing. Numerous smart features help you get organized and find the photos you are looking for.

These are the highlights of the new 2022 version:

  • Duplicate finder with numerous setting options
  • Support of PSD files
  • match accuracy for similarity searches is now adjustable
  • the maximum number of search results has been increased to 50,000
  • Support of Windows network paths


We recommend Windows users to install the Microsoft Raw image extension: Download

Sprachen & Version

Supported languages
German & English
Current version

2.2.4

Minimum system requirements

Processor
Multi-core processor with 64-bit and AVX support Older AMD Prozessoren like AMD Phenom(tm) II X6 1100T und AMD Phenom(tm) II X (also known as AMD Athlon II X4 640) are not supported. Intel Core 2 Duo processors are not supported.
Operating system
macOS 10.14 (or newer) or Windows 10 (64-bit) or Windows 11 (64bit)
Memory
Minimum 8GB RAM is required. However, 16GB or more is recommended.
Hard disk
The Excire Foto databases will take up approx. 250MB for 100,000 photos, and the previews approx. 25GB if highest-quality previews are generated for each photo.