Spreadsheets vs PIM: what actually breaks, and when
Spreadsheets = Excel and Google Sheets. PIM = Product Information Management. Last reviewed August 2026.
The short answer
Spreadsheets are the most widely used product information system in the world, and for a single-channel catalog of a few thousand stable SKUs maintained by one or two people, they remain a defensible choice: no licence, no implementation, and everyone already knows how to use them. They fail on five specific things, and the failures are predictable — concurrent editing without conflict, per-category attribute schemas, validation that actually holds, media handling, and any audit trail of who changed what. The trigger for moving is almost never catalog size on its own, but the second channel, the second editor, or the first category whose attributes look nothing like the rest. And the migration itself is where most teams learn that their real problem was never the tool: the fields were empty in Excel and they are empty in the PIM.
Every PIM vendor's pitch deck has a slide about the horrors of spreadsheets. Worth being straight about this: spreadsheets are genuinely good at some of this work, and a lot of PIM implementations fail because they were sold against a problem the customer did not have.
Here is the version with the failure modes named specifically.
Spreadsheets vs PIM, line by line
| Spreadsheets | PIM | |
|---|---|---|
| Cost to start | Nothing. It is already installed | Licence plus implementation — commonly the larger number |
| Concurrent editing | Google Sheets handles presence; neither handles field-level conflict or approval | Record locking, workflow, review and approval states |
| Per-category attributes | One grid for everything — hundreds of mostly-empty columns, or a file per category | A different attribute model per category, which is how catalogs actually work |
| Validation | Data validation exists and gets pasted over silently | Enforced types, units, allowed values, required-by-channel rules |
| Media | A URL in a cell, at best | Managed assets attached to records, with renditions |
| Audit trail | None that survives a copy-paste | Full history per field, per user |
| Publishing to channels | A manual export, remapped per channel, every time | Mapped, repeatable, validated before send |
| Honest ceiling | One channel, one or two editors, shallow and stable attributes | Scales, provided somebody keeps it filled |
Where they actually overlap
Spreadsheets never actually leave. Even in companies with a mature PIM, enrichment work happens in exports — because bulk editing in a grid is genuinely faster than any PIM interface, and category managers know it.
Fine as a working surface; dangerous as a system of record. The distinction to enforce: the spreadsheet is a workspace that gets validated back in, never the place a value lives permanently. Once two people hold two exports, the PIM has become a very expensive archive.
The honest version of the vendor slide is not "spreadsheets are bad" but "a spreadsheet cannot tell you what is missing". No completeness score, no per-channel required-field view, no way to answer are we ready to publish this category without reading it.
Which one you need, by situation
- One channel, one editor, a few thousand stable SKUs
- Stay in the spreadsheet. Spend the money on filling the fields instead.
- Two people edit the catalog and overwrite each other
- Real trigger. This failure never gets better on its own.
- A second channel with different requirements
- Real trigger. Per-channel mapping by hand is where errors compound.
- Categories need genuinely different attributes
- Real trigger. One grid cannot model a catalog with heterogeneous categories.
- The catalog is large but shallow and stable
- Not a trigger on its own. Size alone is the weakest reason to migrate.
- Attributes are largely empty
- Not a tooling problem. A migration will move the empty cells into a nicer system.
Do you need both?
Practically, yes — PIM as the system of record, spreadsheets as the bulk editing surface, with a validated import path back. Design that route deliberately rather than pretending it will not happen.
What kills PIM adoption is making the round trip painful. If exporting, editing and reimporting is slow or lossy, teams stop reimporting, and the shadow catalog is back within a quarter.
The job neither system does
The uncomfortable finding, repeatedly: teams migrating off spreadsheets discover the tool was not the constraint. The columns were empty in Excel, and the project plan quietly assumed somebody would fill them during migration.
Nobody has time to. Anglera takes that work on — completing the attributes against supplier documents and buyer search behaviour, with a source on each value, delivered into the spreadsheet or the PIM, whichever you are actually using. If it is still Excel, that is fine. We would rather fill a spreadsheet that works than justify a platform you do not need yet.
Frequently asked questions
How many SKUs before we need a PIM?
There is no honest number, and vendors who quote one are guessing. Editors, channels and attribute heterogeneity predict the break point far better than SKU count — 50,000 simple, stable SKUs on one channel can run in a spreadsheet while 2,000 SKUs across four channels cannot.
Is Google Sheets better than Excel for product data?
For collaboration, yes — shared state and version history remove the file-versioning problem. It does not solve per-category schemas, enforced validation, media, or channel publishing.
What does a PIM cost against staying in spreadsheets?
Mid-market licences commonly run in the tens of thousands annually with implementation often exceeding the first-year licence. Weigh it against the loaded cost of the manual work it removes — and separately budget for filling the fields, which the PIM does not do.
Can we migrate from spreadsheets to a PIM later?
Yes, and it is easier than migrating between PIMs. Keep identifiers clean and one row per SKU with consistent column meanings, and the export is straightforward.
What is the cheapest first step if we are not ready for a PIM?
Pick your top revenue category, define the attributes buyers actually filter on, and fill those to completion. Measurable, reversible, and it tells you whether a container was ever the problem.