The product data stack, explained

Six acronyms claim to be the home of your product data, and the vendor selling each one draws the boundary differently. These pages settle it the only way that survives an implementation: by deciding what each system is the source of truth for.

Written for people who have not bought anything yet, including the cases where the answer is that you do not need to. Every page ends in the same place, because it is true of all of them: these are containers, and none of them fills itself.

PIM vs ERP: which system owns your product data?

An ERP owns the transactional truth about a product. A PIM owns the descriptive truth. Where the line falls, where they overlap, and whether you need both.

7 dimensions · 5 situations · 5 questions
PIM vs MDM: governance or merchandising?

MDM governs one trusted record across domains. PIM makes the product record sellable across channels. Where they overlap, and which one your problem actually is.

7 dimensions · 5 situations · 5 questions
PIM vs OMS: two systems that never overlap, and one that quietly depends on the other

A PIM manages what a product is. An OMS manages what happens after someone buys it. Why they are not alternatives — and where bad product data breaks fulfilment.

7 dimensions · 4 situations · 4 questions
PIM vs PDM: the same acronym problem, two different departments

PDM manages engineering data — CAD files, revisions, bills of materials. PIM manages commercial product data. Why the confusion costs manufacturers real money.

7 dimensions · 4 situations · 4 questions
PIM vs PLM: before the product exists, and after it goes on sale

PLM governs a product from concept to end-of-life. PIM governs how it is described and sold. Where the handoff happens and why it usually leaks.

7 dimensions · 4 situations · 4 questions
PIM vs DAM: the words and the pictures

A PIM manages structured product data. A DAM manages rich media as an asset with rights and renditions. Where the two overlap, and when you need both.

7 dimensions · 5 situations · 4 questions
PIM vs CMS: structured product data and the pages it renders into

A PIM holds product data as structured fields. A CMS holds pages and editorial content. Why product content managed in a CMS stops scaling — and what breaks first.

7 dimensions · 5 situations · 4 questions
PIM vs CRM: the product side and the customer side

A PIM is the system of record for products. A CRM is the system of record for customers and deals. They do not compete — but bad product data shows up in the CRM anyway.

6 dimensions · 4 situations · 4 questions
PIM vs PXM: a real capability shift, and a lot of renaming

PXM is what several PIM vendors renamed themselves. Some of the difference is real — channel-specific experience and performance feedback — and some is positioning.

7 dimensions · 4 situations · 4 questions
Spreadsheets vs PIM: what actually breaks, and when

Most catalogs are still run in Excel, and for a lot of them that is the right answer. The specific failures that mean you have outgrown it — and the honest costs of both.

8 dimensions · 6 situations · 5 questions
Item master vs product master: one row, or one thing you sell?

The item master is the transactional record in your ERP. The product master is the commercial record buyers see. Why treating them as one causes duplicate SKUs.

7 dimensions · 5 situations · 5 questions
PIM vs MDM vs ERP: three systems, one item, and the field that stays empty in all of them

The three-way comparison, settled on what each system is the source of truth for — and the one job none of them does.

7 dimensions · 5 situations · 5 questions
PIM vs GDSN: a system you run, and a network you join

GDSN is a standards network for exchanging product data with trading partners. A PIM is software you operate. Why you probably need both, and in which order.

7 dimensions · 5 situations · 5 questions
PIM vs syndication: managing content, and moving it

A PIM manages product content. A syndication network moves it to retailers and distributors. They are sequential, not alternative — and both arrive empty.

7 dimensions · 5 situations · 4 questions
PIM vs feed management: the source, and the channel-tuned copy of it

Feed tools transform and optimise product data for advertising and marketplace channels. A PIM is the source. Why feed tools get sold as PIM-lite, and where that ends.

7 dimensions · 5 situations · 4 questions
Homegrown catalog vs PIM: what you are really choosing between

Engineering-led teams build product databases and they usually work. The build-vs-buy decision, judged on the parts that get expensive in year three.

7 dimensions · 5 situations · 4 questions
PIM vs digital shelf analytics: managing the content, and measuring what it did

DSA measures how your products perform on retailer sites and marketplaces. A PIM manages the content. Why measurement without a way to act is an expensive report.

7 dimensions · 5 situations · 4 questions
PIM vs CPQ: describing a product, and assembling a valid one

CPQ builds valid configurations and prices them. A PIM describes products. For configurable catalogs the two share a data model — and that is where it breaks.

7 dimensions · 5 situations · 4 questions
PIM vs DXP: a suite that includes one, and the question of whether that is enough

DXP suites from Adobe, Sitecore, Optimizely and Salesforce bundle a PIM. When the bundled module is genuinely enough, and the specific points where it is not.

7 dimensions · 5 situations · 4 questions
PIM vs CDP: the product side and the customer side of personalisation

A CDP unifies customer data. A PIM unifies product data. Personalisation needs both — and the product half is usually the one that is missing.

7 dimensions · 4 situations · 4 questions
PIM vs WMS: the selling record and the physical one

A WMS runs the warehouse. A PIM runs the catalog. They share exactly one set of fields — the physical attributes — and those are the ones nobody owns.

6 dimensions · 4 situations · 4 questions
ERP vs MDM: one system transacting, one system arbitrating

If you run one ERP, it is already your master data system. MDM earns its place when several systems create the same entity — and the trigger is usually an acquisition.

7 dimensions · 5 situations · 4 questions

Looking for vendors rather than categories?

Once you know which kind of system you need, the market maps name who is in it and the head-to-heads compare them directly.