Try this experiment: pick any SaaS tool your team uses daily, and try to export everything. Not just the obvious data — all of it. The contacts, the relationships between them, the custom fields, the activity history, the automations, the templates, the permissions structure, the audit logs. Everything.
Chances are, you'll get about 60% of your data in a usable format. The rest will be either unavailable for export, locked behind an enterprise-only feature, or exported in a format so mangled that reimporting it elsewhere would take weeks of cleanup.
This is the state of data portability in 2026. And despite years of regulation, industry promises, and growing customer demand, it's barely improved from where it was five years ago.
What Data Portability Actually Means
Data portability isn't just "can I download a CSV." True portability means three things:
- Completeness:You can export all your data, including metadata, relationships, configurations, and history
- Usability:The exported data is in a standard format that other tools can import without significant transformation
- Timeliness:You can export at any time, not just when your contract is active or when you request it through a support ticket
By this standard, very few SaaS tools offer true data portability. Most offer a degraded version — partial data in a semi-useful format, available if you know where to look.
The Portability Spectrum: Where Common Tool Categories Stand
Email Marketing Platforms
What exports well:Subscriber lists, basic campaign stats, email templates (as HTML)
What doesn't:Automation workflows, segmentation rules, A/B test history, engagement scoring, send-time optimization data, preference center configurations
Portability score: 4/10
Your subscriber data is portable. Your marketing intelligence — the segmentation logic, behavioral triggers, and engagement models you've built over years — is not.
CRM Platforms
What exports well:Contacts, companies, deals/opportunities (as flat records)
What doesn't:Activity timelines, email thread associations, custom object relationships, workflow automations, scoring models, forecasting configurations
Portability score: 5/10
CRMs are slightly better because the core data model (contacts, companies, deals) is relatively standardized. But the value of a CRM isn't the raw data — it's the relationships, history, and automation built on top of it.
Project Management Tools
What exports well:Task lists, project names, basic descriptions
What doesn't:Dependencies, custom fields, time tracking data, automations, workload views, portfolio-level reporting, Gantt chart configurations, sprint histories
Portability score: 3/10
Project management data is notoriously non-portable because the data model varies wildly between tools.Asana's sections aren't Monday's groups aren'tClickUp's lists. The migration path is almost always: export flat data, rebuild structure manually.
Analytics Platforms
What exports well:Raw event data (if available), aggregated reports (as CSV/PDF)
What doesn't:Custom dashboard configurations, calculated metrics, attribution models, cohort definitions, alert rules
Portability score: 4/10
Analytics tools have an interesting portability profile: the raw data is often exportable (especially with tools like BigQuery integration), but theanalysis layer— the custom reports, dashboards, and models — is completely tool-specific.
E-commerce Platforms
What exports well:Products, customers, orders, basic page content
What doesn't:Theme customizations, checkout configurations, discount rules, shipping zone logic, SEO metadata and redirects, app-specific data
Portability score: 5/10
E-commerce has the most at stake with portability because platform migrations can directly impact revenue. The good news: core transactional data is generally exportable. The bad news: everything that makes your storeyours— the customization, configuration, and optimization — doesn't travel.
Why Portability Hasn't Improved (Despite Regulations)
The GDPR's data portability provision (Article 20) was supposed to fix this. It gives EU citizens the right to receive their personal data "in a structured, commonly used and machine-readable format." Similar regulations exist in California (CCPA), Brazil (LGPD), and elsewhere.
In practice, these regulations have had minimal impact on SaaS portability for three reasons:
1. They cover personal data, not business data
GDPR portability applies to dataabout you. Your CRM's automation workflows, your project templates, your custom report configurations — these aren't "personal data" under any regulation. They're business configurations that belong to you but aren't covered by portability rights.
2. "Machine-readable" is a low bar
A JSON file is technically machine-readable. So is a CSV. Neither guarantees that another tool can actually import and use the data. The regulations don't requireinteroperability— just format accessibility.
3. Enforcement is reactive
No regulator is proactively auditing SaaS export functionality. Complaints happen after the fact, usually when a company is already trying to leave and discovers their data is trapped. By then, the damage is done.
Practical Steps to Protect Your Data Portability
Before You Sign Up
- Test the export before you import.During your trial period, add sample data and try exporting it. If the export is already limited with 50 records, it won't improve with 50,000.
- Check the API documentation.A well-documented, rate-unlimited API is better portability insurance than any export button. If you can read your data programmatically, you can always build your own export.
- Ask about export completeness.Specifically ask: "If I need to leave, can I export [custom fields/automations/history/relationships]?" Document the answer in writing.
While You're Using the Tool
- Schedule regular exports.Don't wait until you need to leave. Monthly automated exports of critical data create a backup that's always fresh.
- Keep configuration documentation.Screenshot your automations, export your template text, document your custom field schemas. If the tool can't export its configuration, at least you'll have a reference when rebuilding elsewhere.
- Use standard formats internally.When you create templates, reports, or content within the tool, keep copies in standard formats (Markdown, HTML, CSV) outside the platform.
When You Need to Leave
- Don't cancel first.Export everything before initiating cancellation. Some tools restrict export access the moment you downgrade or cancel.
- Budget for transformation.Raw exports rarely import cleanly into a new tool. Plan for 20-40 hours of data cleanup, field mapping, and validation for a typical business migration.
- Run parallel systems.Keep both old and new tools active for at least 30 days. This catches data gaps, gives you a fallback, and lets you validate that nothing was lost in translation.
The Future of Data Portability
Three trends suggest portability will improve in the next 2-3 years, but slowly:
- The EU Data Act (effective September 2025)extends portability beyond personal data to include IoT data and, in some interpretations, SaaS-generated business data. Enforcement will take time, but the regulatory direction is clear.
- Open-source alternatives are growing.Tools like Twenty (CRM),Plane(project management), and Plausible (analytics) offer full data ownership by design. They're not always feature-competitive with established vendors, but the gap is narrowing.
- Interoperability standards are emerging.Initiatives like the Data Transfer Project (backed by Google, Apple, Meta, and Microsoft) aim to create standardized data transfer protocols between platforms. Progress is slow, but the foundation is being built.
Until then, portability is your responsibility, not your vendor's priority. Treat your data like you'd treat any valuable business asset: keep backups, document dependencies, and always know your exit route — even if you never plan to use it.
Related Comparisons
- Asana vs ClickUp— Detailed comparison.
- Asana vs Plane— Detailed comparison.
- ClickUp vs Plane— Detailed comparison.
