Comparisons that end well are not decided on feature grids. They are decided on four questions: where the files physically live, who or what produces the descriptions, whether the system fits the editing workflow your team already has, and what leaving costs. Every product in this category will answer yes to most of a feature checklist, which is exactly why checklists stop separating them after the first round.
Here is how to sort the field and how to run the evaluation so the answer holds up a year in.
Sorting the field by the problem each one was built around
Products in this space grew out of different original problems, and the lineage still shows.
Some were built around production: footage, proxies, timecode, editors pulling from a shared store. Avid MediaCentral, EditShare Flow, Dalet, CatDV, Axle AI and iconik come from that world.
Some were built around brand and marketing assets, where video is one file type sitting next to stills, logos and layouts. Canto, Bynder, Brandfolder and MediaValet sit here.
Some were built around work in flight rather than work in archive, organizing review, comment and delivery. Frame.io is the familiar example.
And some are not asset managers at all but indexing and search infrastructure you build on or point at storage, either as an API from a vendor like Twelve Labs or as a layer over the storage you already have.
Those are categories, not rankings. Which lineage a product comes from tells you what its defaults assume, and defaults are what you live with.
The four axes that actually separate them
Where the files live. Some systems want to be the storage. Others index storage you keep. This single choice determines your migration project, your egress exposure and whether your editors change how they open a file. Ask directly: after we deploy, what path does an editor type? With Vivu, the footage you search is uploaded, so a copy of it leaves your storage. The originals do not move, and editors keep typing the same paths.
Who produces the descriptions. A system whose search depends on fields a human fills at ingest is a system whose search quality equals your team's discipline in the busiest month of the year. A system that indexes automatically shifts the risk: it will find things, but it finds what its model can express. Ask what happens to a file that arrives with no metadata at all, and ask it as a live demo question rather than a spec question. What automatic tagging can and cannot decide is the detail underneath this axis.
Fit with the edit workflow. If the people cutting have to leave their editing environment to get a file, they will build a private shadow copy on a local drive within a month, and your archive quietly forks. This is the failure mode nobody sees in a trial and everybody sees in year two.
Exit cost. Ask how you get your material and your metadata out, in what format, and whether the descriptions come with it or stay behind as rows in a database you no longer have access to. A vendor that answers this cleanly is telling you something about how they expect to keep you.
Running the comparison so it produces an answer
Take the last ten real requests your team received and write them in the words they arrived in. Not "search for product footage" but "the b-roll from the Lisbon shoot where the light was still good." Run all ten against every finalist, with the person who will actually use the system driving, not the vendor's solutions engineer.
Then run them again with material that arrived during the trial and was not carefully prepared. The gap between those two runs is the real difference between the candidates, and it is invisible in a scripted demo.
Two finalists is enough. Three is usually a sign the requirements are not written down yet. When two products in the same lineage are close, the decision tends to come down to something like where the system expects your files to sit rather than to any feature either one is missing.
When comparing is the wrong exercise
If you cannot name the ten requests, you are not ready to compare. Buying a system to discover your requirements is the most expensive way to write them down.
If the actual pain is that a specific set of finished videos cannot be located, that is a retrieval problem, and it does not need an archive migration to solve. And if one person still holds the whole archive in their head and it works, you are not buying software yet. You are buying insurance against that person leaving, which is a real reason, but it changes what you should be testing.
What decides it
By the end of a proper trial you should be able to say which of the four axes you are optimizing and which you are conceding. Teams that can name their concession stay happy with the choice. Teams that picked the product that won on the most checkboxes usually cannot remember, six months later, why they chose it, and that is the state in which a second system gets bought alongside the first.
FAQ
How many systems should we shortlist?
Two finalists, chosen after a paper round that eliminates on the four structural questions rather than on features. Anything above three usually means the requirements are still being discovered, and adding candidates does not fix that.
The paper round is fast if you ask structural questions: does it hold our files or index them, does it require humans to describe material, does it reach into the editing environment our team uses, and how do we get everything out. Most of the market splits on those four before anyone books a demo.
Should we migrate the old archive or start with new material?
Most teams should draw a cutoff date, bring everything after it in properly, and leave older material in place until something asks for it. Migration cost is paid in description rather than in bytes, and deciding what ten thousand old clips are about is the step that stalls projects for years.
If the old archive is exactly the thing you cannot search, that argues for a system that can index it once and let you search it, instead of a migration project that has to finish before you see value.
Who should run the trial?
The person who receives footage requests, not the person who signs the contract. They are the only one who knows how requests are actually phrased, and phrasing is what a trial tests.
Give them the ten real requests in writing before any demo, and do not let a vendor engineer drive the keyboard. A demo run by the seller tests the product's best path; a trial run by the user tests yours.
What should we ask a vendor that a feature list will not tell us?
Ask what happens to a file that lands with no metadata, ask what an editor's file path looks like after deployment, and ask how material and descriptions leave if you cancel. Those three answers separate products that a comparison chart shows as identical.
Also ask who at their end owns onboarding and for how long. A system that fits your workflow badly can still work if someone stays to reshape it, and a system that fits well can still fail if nobody does.