SpecLatch vs spreadsheets
The spreadsheet was never the problem — the copies are
Excel is where most product catalogs are born, and for good reason. But one workbook becomes five copies — engineering's, marketing's, the price list, the website export — and engineered-product data has rules a spreadsheet can't enforce.
Credit where it's due
A comparison that pretends the other side has no strengths isn't worth your time — here's what the other column genuinely does well.
Everyone already knows it
No training, no onboarding, no procurement. For one person working through one analysis, a spreadsheet is still the fastest tool there is.
Infinitely flexible
No schema to design, no fields to define. Excel or Google Sheets will model anything you can imagine in an afternoon — which is exactly how every product catalog starts.
It goes everywhere
Every laptop opens it, every supplier emails it, every system imports it. XLSX is the closest thing product data has to a universal language.
Where it breaks down
Engineered-product data has rules — units, confidentiality, approval, generated documents — and this is where the category stops enforcing them.
Units live in column headers
“Torque (N·m)” is a label, not a rule — nothing stops a lb·ft value landing in the column, and showing both systems means a second column maintained by hand, wrong one cell at a time.
Every email forks the file
Send the workbook and there are two of it. Six months later the catalog, the price list, and the rep's copy each hold a slightly different number for the same spec — and nobody can say which is right.
One tab, every secret
Cost and margin sit three columns from the public specs. Hiding columns and protecting sheets is convention, not enforcement — the protection is “don't send the wrong file.”
Side by side
| A spreadsheet | SpecLatch | |
|---|---|---|
| Start in an afternoon | Yes Open a blank workbook | Yes Import that same workbook — columns map by header |
| Unit-aware values | No Units are text in headers; conversions by hand | Yes Stored once, metric and imperial displayed together |
| Validated, typed fields | Partial Per-cell data validation, maintained by hand | Yes Field definitions validate every record |
| Engineering calculations | Partial Cell formulas — fragile references, no unit awareness | Yes Tested, dimension-checked functions |
| Confidential fields | No Hidden columns and protected sheets; one wrong send shares it all | Yes Per-field tiers enforced on grid, PDFs, portal, and API |
| Approval workflow | No Track changes, at best | Yes Draft → review → published, with an audit trail |
| Spec sheets & catalogs | No Retyped into Word or InDesign, stale on day one | Yes Generated from live data; affected documents flag themselves |
| Public website & API | No Export, re-import, repeat | Yes Hosted catalog and read API from the same record |
| Ad-hoc analysis, pivots, charts | Yes Still the best tool there is for it | No Export to XLSX and analyze in the spreadsheet — that's what it's for |
The honest verdict
Stay with spreadsheets if…
- One person maintains a handful of products and nothing is published from the file
- The data is analysis — sizing runs, one-off studies — not a catalog of record
- Nothing in the workbook is confidential and nobody else needs a copy
Switch when…
- The same value lives in more than one file and they have started to disagree
- Metric and imperial columns are converted and maintained by hand
- Cost or margin sits in the same sheet as specs that customers see
- Datasheets and web pages are retyped from the workbook instead of generated from it
Weighing a different alternative?
The other comparisons — spreadsheets, PIM software, no-code tools, custom databases, the ERP item master.
Rather judge the product itself?
Units, confidentiality, documents, portal & API, import — each capability has its own deep dive.
The fairest comparison is your own data
Start a free trial and import one of your own product families — side-by-side tables only go so far.
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