At large-team scale, upkeep decides this, not features. Every system in this category looks good with a hundred assets in it and a demo library curated by the vendor. The one worth buying is the one whose maintenance does not grow in proportion to the archive, because the archive grows whether or not anyone has time to look after it. That is the lens for everything below.
What actually changes at scale
Metadata debt compounds. A hundred untagged files is an afternoon. Forty thousand is a project nobody will ever be funded to do, so it stays undone and the search results stay thin.
Institutional memory leaves. On a small team the index is a person. On a large one, that person changes jobs and takes the map with them, and what remains is a folder tree written in the vocabulary of whoever was there in 2019.
Per-asset work becomes a line on a budget. Teams with big spoken archives run into this quickly: paying to have a transcript made for every episode of a seven-hundred-episode back catalog is a real expenditure, and it buys documents rather than answers. Having transcripts and being able to search them as a set are separate achievements, which is why archives with several hundred well-corrected transcripts still get searched one file at a time.
And requests queue. Every lookup that has to pass through the media team is a small tax on two people's days, and at scale it is most of both days.
The marginal-asset test
Ask what happens on asset number ten thousand rather than asset number ten. Specifically: how much human work does one new asset create, and how much does one new person searching create.
Vivu indexes each asset once as it enters storage rather than reprocessing it per query, so making an archive searchable is work that happens at ingest and does not repeat every time someone goes looking. Because the asking happens in plain language against material already in the team's storage, the people asking do not have to be the people who filed it.
The routes large teams actually take
A central media team as the human index. Accurate, unscalable, and a retention risk. It works until two people become the bottleneck for eleven departments.
A single system of record for everything. This is the standard answer and the right one for governance, rights and delivery. Its weak spot at scale is that its search quality depends on metadata discipline that large teams never sustain evenly across departments.
Per-department tools. Fast to adopt, and it fragments the archive into a dozen small archives that nobody can search together. Two years later this is the migration project.
A retrieval layer on top of existing storage. Narrow: it answers where things are and does not manage rights, approvals or delivery. It suits teams whose storage is already fine and whose problem is access.
Doing nothing, which in practice means reshooting. Large teams reshoot material they already own more often than they measure, because commissioning something new is a known cost and searching is an unknown one.
When a large team does not need this
If the work is campaign-based and nothing is reused after ninety days, retrieval barely matters and retention policy matters more. If legal requires deletion on a schedule, the archive is small by design. And if your library is large in bytes but small in count, a few hundred long files, discipline plus a spreadsheet will beat any purchase you can make this quarter.
The five questions
How much human work does each new asset require, at steady state.
Who owns the system, and what happens the month they leave.
What can a marketer or a sales rep do without asking post for help.
What happens to the back catalog, including whatever sits on tape.
What leaves with you, in what format, when the contract ends.
Large organisations tend to buy on governance and then feel let down by search, because governance was the requirement written down and search was the thing people needed daily. Both are legitimate purchases. The way to tell which you are making is to count last quarter's escalations: if they were about permissions, versions and which cut shipped, you are buying a system of record. If they were about somebody spending a day finding thirty seconds that certainly existed, no amount of governance is going to touch that.