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Your Salesforce data.
Fully in-house_

Data limits filling up, licenses getting more expensive every year, and customer data stuck in a package. There's another way: your complete Salesforce data migrated to an open data layer that's yours. Without data loss, without a big bang, at your own pace.

sound_familiar

Salesforce works.
But the terms get heavier every year.

Salesforce was a serious choice, and you've built up years of customer data in it. That's exactly why every price increase, every limit that fills up, and every impossible integration feels like a vice slowly being tightened.

In-house data means: your customers, deals, activities and documents in an open PostgreSQL database that's yours, on EU hosting you control. Salesforce can keep running alongside it, or be phased out step by step, whenever you want.

Storage full, invoice up

Your org's data limit is coming into view. Extra storage comes in small, expensive blocks, and archiving is a project in itself.

Per-user licenses

Every new colleague is another license, and price increases keep coming. The bill grows faster than your team.

Your data is stuck

Reporting outside the package, a connection to your own tools, or AI on your customer data: it's possible, but always on their terms and within their limits.

Whole suite, fraction used

You pay for hundreds of features, use about ten, and you've bent your processes to fit the package instead of the other way around.

what_you_get

The same customer data.
Without the meter running.

Everything you've built up in Salesforce comes along: accounts, contacts, deals, activities, attachments and history. It just ends up in an environment that's yours.

migration.logworked example
Salesforce
  • Accounts3,480
  • Contacts11,920
  • Opportunities5,215
  • Activities86,400
  • Attachments9,310
in-house
  • Accounts3,480
  • Contacts11,920
  • Opportunities5,215
  • Activities86,400
  • Attachments9,310
done: 0 records lost, source and target counts match
what a controlled migration looks like: we recount per object until source and target match (example figures)
✓

No more data limits

Storage in your own database costs next to nothing. You never archive because you have to, only because you want to.

✓

No per-user costs

No per-seat licenses that rise every year. Just low, predictable infrastructure costs, no matter how many colleagues are working in it.

✓

All your history comes along

Records, relationships, activities and attachments are fully migrated and verified. Every contact stays linked to the right account.

✓

Reporting and AI on your data

Dashboards, AI chat and agents run directly on your own database. No more exports, no one else's API limits.

✓

Processes your way

Pipeline, follow-up and automation are built around how you work, not around a package's data model.

✓

Never locked in again

The data layer is open, portable PostgreSQL. You can always leave, even from us. That keeps everyone sharp, including us.

the_promise

Your data went in easily once. We make sure it comes back out just as complete.

0% of your data
migrated and verified, including relationships
0 open data layer
portable postgres, fully yours
€0 per user
no more per-seat licenses
0
from then on the Data Act bans switching costs

Not sure if it's time yet? Read five signs your business has outgrown its CRM or what the Data Act means for switching costs from 2027. On a different platform? There are also pages for HubSpot, Microsoft Dynamics 365 and SAP.

the_approach

From Salesforce to in-house,
step by step

No big bang on a Friday afternoon. The migration happens in five controlled steps, while Salesforce keeps working as usual.

01
step 1

Data scan and inventory

We map out your org: which objects, how many records, which integrations, which flows. You get an honest picture of what needs to move and what can be cleaned up.

02
step 2

Full export and schema mapping

Using the export function and the API, we pull out everything: records, relationships, attachments, history. Every Salesforce object gets a place in an open data model that speaks your language.

03
step 3

Test migration and verification

First a test migration. We recount per object, verify relationships and deduplicate. You look along in the new environment before anything becomes final.

04
step 4

Running in parallel

Salesforce keeps working as usual while your own data layer proves itself with dashboards, reporting and AI on your own data. New data flows in automatically.

05
step 5

Switch at your own pace

Only once everything is proven do you wind down licenses. Or you keep Salesforce for the team that likes working in it, and just bring your data in-house. Either works.

prove_it_first

You've heard big promises about migrations before.
That's why we start with a no-obligation data scan.

We look at your org together, map out what needs to come out, and use a test export to show you what your data looks like in an open data layer. After that, you know exactly where you stand, even if you decide to stay put.

frequently_asked_questions

What else would you like to know?

Can I export all my data from Salesforce?

Yes. Salesforce offers a built-in export function that produces a CSV file per object, and the API also brings along attachments, emails and field history. Relationships between records run through Salesforce IDs; these get neatly converted to the new environment during the migration, so every contact stays linked to the right account.

What happens to my workflows and automations?

Flows and automations can't be literally exported, and that's usually not a loss. They get rebuilt in the new environment, but the way your team actually works instead of the way the package forces it. In practice, a good chunk turns out to be unnecessary.

Do I have to stop using Salesforce right away?

No. The open data layer is set up alongside Salesforce first, and both run in parallel. You build trust with dashboards and reporting on your own data, and only once everything is proven do you wind down licenses. You can also choose to keep Salesforce and just bring your data in-house.

What can I do about Salesforce's data limits right now?

Three strategies already work today: cleaning up duplicate and orphaned records, storing attachments and documents outside Salesforce, and archiving old records to your own database instead of buying extra storage. That own archive database is immediately the first step toward in-house management. We cover all three in detail in the whitepaper.

What does the Data Act mean for my Salesforce contract?

The European Data Act requires cloud providers to make switching possible, including handing over your data in a usable format. From 12 January 2027, no switching costs may be charged for this anymore. More on that in our article about the Data Act.

Is an in-house data layer secure enough for GDPR?

Yes. The data layer runs on EU hosting with row level security, encryption at rest and in transit, and daily backups. The underlying infrastructure is SOC2 Type II and ISO 27001 certified. And because the environment is yours, you can verify that yourself instead of taking a vendor's word for it.

whitepaper

From Salesforce to In-House

Everything about data limits, export routes and a migration without data loss. Still valuable even if you decide to stay. Well-founded, no sales talk.

  • The real cost of Salesforce: licenses, storage and limits
  • Working around data limits: three strategies that work today
  • Exporting everything: which route for which data
  • Best practices for a migration without data loss
  • In-house management: what it is and how to start small

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