HubSpot Operations Hub is now called Data Hub
If you are looking for Operations Hub: it still exists, but it is now called Data Hub. HubSpot's old product page, hubspot.com/products/operations, redirects to /products/data. The product, its features and the tier structure are unchanged; only the name is different.
That is the first thing to know when you come across a guide or blog talking about Operations Hub: it is about the same product, but written before the rename.
What does Data Hub do?
Data Hub is the layer that keeps your data aligned across systems, cleans it and automates around it. The other hubs are about what you do with customers; this one is about whether the data you base that on is actually correct.
Data sync. Two-way synchronisation between HubSpot and other applications, with field mappings you set yourself. You keep data aligned without turning it into an integration project.
Data quality. Cleaning at scale: duplicate records, inconsistent formatting, fields that never get filled. HubSpot added a Data Model Health Check in 2026 that flags properties with low fill rates, duplicate labels and unused associations.
Programmable automation. Your own code as a workflow step, webhooks and scheduled triggers. This is where you end up as soon as standard workflows stop being enough.
What is in each tier?
Checked against HubSpot's product page on 11 October 2026. Prices change regularly, so always check the pricing page before deciding.
| Tier | From | What you get |
|---|
| Free | 0 | Data sync with standard field mappings, basic cleaning, access to all integrations |
| Starter | $10 per seat per month | Custom field mappings, broader sync, basic quality tools |
| Professional | $800 per month, 1 seat included | Building datasets with AI, cleaning at scale, process automation, data quality monitoring |
| Enterprise | $2,000 per month, 1 seat included | Advanced datasets, connecting data warehouses, calculated metrics, secure data sharing |
The jump from Starter to Professional is large, in price and in capability. That is no accident: Professional is the point at which you can run your own code inside workflows, and that is a different category of tool.
When do you actually need Data Hub?
Five situations where it pays for itself:
- You run several systems alongside HubSpot and update them by hand, or you have an integration nobody dares to touch any more.
- Your data is dirty and you notice it in your reporting. Duplicate companies, fields empty on half the records, and nobody trusting the numbers.
- Your standard workflows are hitting a ceiling. You want to calculate or fetch something the built-in actions cannot do.
- You report across several sources at once and want datasets instead of rebuilding a report every time.
- You want to apply AI to your CRM data. Then clean data is not a luxury but a precondition.
When not to
If you run one system, have few records and no integrations, you are buying tooling for a problem you do not have. The free tier is more than enough, and the money is better spent on getting your processes straight.
The same applies if your data is dirty because there are no agreements about who fills in what. A tool then treats the symptom and leaves the cause in place.
Frequently asked questions
Is Operations Hub the same as Data Hub?
Yes. HubSpot renamed the hub; the features and tier structure are unchanged. The old product page redirects to the new one.
Do you need Data Hub to use HubSpot?
No. The free tier is in every account and is enough for many organisations. You need the paid tiers once you want custom field mappings, cleaning at scale or programmable automation.
What is the difference between data sync and an integration?
Data sync is an off-the-shelf two-way connection with field mappings you configure. An integration is something you build, with your own logic. Sync is faster and cheaper; an integration can do more.
From which tier can you run your own code in a workflow?
From Professional. That is also the largest price jump, and often the reason for making it.
Will Data Hub fix my data quality problem?
Partly. It cleans up what is there, but does not stop new mess coming in. For that you need agreements about who fills in what, and why.
Carel Schrier
