Data Migration Tools: What Actually Works When Switching Software

Switching software is easy until you need to move your data. Here’s what actually works for migrating data between platforms.

The Three Migration Scenarios

Simple Migrations: Moving data between similar platforms with native import/export (Gmail to Outlook, Trello to Asana). Usually works with built-in tools.

Complex Migrations: Moving between different platform types with significant data transformation (SQL database to NoSQL, custom CRM to Salesforce). Requires custom tooling or migration services.

Legacy Migrations: Extracting data from old systems with poor export capabilities or proprietary formats. Often requires specialist help or significant manual work.

Cloud Storage Migration

Moving Between Google Drive, Dropbox, OneDrive, Box: Tools like MultCloud, CloudHQ, or rclone handle basic file transfers. The complications come from:

  • Shared links breaking after migration
  • Folder permissions not transferring
  • File comments and version history usually don’t migrate
  • Embedded files in documents breaking

The best approach: sync both systems during a transition period, manually verify critical files, and accept some data loss on metadata.

Email Migration

Moving Between Gmail, Outlook, ProtonMail: IMAP-based tools handle most migrations well. Google Workspace has migration tools for importing from other email services. Microsoft provides similar tools for moving to Exchange/Outlook.

The challenge is calendar events, contacts, and task integration. These often require separate migration processes.

For individual migrations, most email clients let you add both accounts and drag-and-drop messages between them. Slow but reliable for smaller mailboxes.

CRM Migration

Moving Between HubSpot, Salesforce, Pipedrive, Zoho: All major CRMs offer import tools, but they’re designed for new customers importing from CSVs, not migrating from competitors.

Third-party tools like Import2, Trujay, or Data2CRM specialize in CRM migrations. They handle:

  • Contact and company records
  • Deal pipelines and stages
  • Activity history
  • Custom fields (with mapping)

What doesn’t transfer well:

  • Email integration history
  • Custom automation rules
  • User permissions and territories
  • Third-party integrations

Expect 2-4 weeks for a proper CRM migration with data cleanup. Budget 40-60 hours of internal time plus external tool costs or consultant fees.

Project Management Migration

Moving Between Asana, Monday, ClickUp, Jira: Native import/export features exist but usually lose data. Project history, comments, attachments, and automation rules rarely transfer completely.

Tools like Unito offer sync capabilities during transition periods. This lets teams use both systems while migrating gradually.

The pragmatic approach: archive old projects in the old system, start new projects in the new system, accept that historical data stays where it is.

Communication Platform Migration

Moving Between Slack, Microsoft Teams, Discord: Message history, files, and channels can be exported from most platforms. Importing into new platforms is harder.

Slack’s export features are limited on free plans. Teams and Discord allow better export but importing into another platform isn’t officially supported.

The reality: most teams archive old communications and start fresh on new platforms. Searchable archives from the old system remain accessible for reference.

Database Migration

Moving Between MySQL, PostgreSQL, MongoDB, Firebase: Database migrations depend heavily on schema compatibility. Relational to relational (MySQL to PostgreSQL) uses tools like pgLoader or AWS Database Migration Service.

Relational to NoSQL requires significant schema redesign. Automated tools handle data transformation but can’t make architectural decisions about how to structure data differently.

For production databases, companies typically work with AI strategy support teams or database specialists rather than attempting DIY migrations.

Document and Wiki Migration

Moving Between Notion, Confluence, Coda, Obsidian: Document platforms use different formatting systems. Markdown transfers reasonably well between platforms. Proprietary features (databases, embeds, custom blocks) lose functionality.

Export from the old platform to markdown, then import to the new platform, then manually fix broken features. Budget significant time for larger wikis.

Password Manager Migration

Moving Between 1Password, LastPass, Bitwarden, Dashlane: Most password managers import from CSV files. The process:

  1. Export from old password manager to CSV
  2. Secure the CSV file (it contains all your passwords in plaintext)
  3. Import to new password manager
  4. Delete the CSV file securely
  5. Verify critical passwords migrated correctly

Attached files, shared vaults, and some metadata may not transfer. Handle those manually.

Calendar and Contact Migration

Moving Between Google Calendar, Outlook, Apple Calendar: Export to ICS (calendar) or vCard (contacts), import to new platform. Simple in theory, problematic in practice.

Recurring events sometimes break. Shared calendars lose sharing settings. Calendar invitations may disconnect from the original meeting organizers.

Contact migration loses custom fields, tags, and groups unless the platforms have similar data models.

E-commerce and Subscription Data

Moving Between Shopify, WooCommerce, BigCommerce: Product catalogs, customer data, and order history all need migration. Tools like Cart2Cart or LitExtension automate much of this.

The complications:

  • Product images and media files
  • Customer passwords (usually can’t be migrated for security reasons)
  • Active subscriptions and recurring payments
  • Discount codes and gift cards
  • Review and rating history

Plan for extended parallel operation of both systems during transition.

When to Use Migration Services

Pay for professional migration help when:

  • Data volume exceeds 10,000 records
  • Business operations depend on uptime during migration
  • Complex data relationships need preservation
  • Compliance requirements apply to data handling
  • Internal teams lack time or expertise

DIY migration works for:

  • Small datasets (under 1,000 records)
  • Simple data structures
  • Platforms with good native import/export
  • Situations where some data loss is acceptable

The Unglamorous Truth

Most data migrations lose something. Comments, history, metadata, custom features—expect partial data loss even with professional tools.

The best migration strategy:

  1. Export everything possible
  2. Migrate what the tools handle automatically
  3. Manually verify critical data
  4. Accept that edge cases and metadata may not transfer
  5. Keep old system accessible read-only for 3-6 months

Perfect migrations are marketing fiction. Acceptable migrations with verified critical data are achievable.

Testing Your Migration

Before going live:

  1. Migrate to a test environment
  2. Verify critical data and workflows
  3. Test with actual users on representative tasks
  4. Document what didn’t migrate and create workarounds
  5. Repeat until acceptable quality is reached

Never migrate production data directly without testing the process first.

The Hidden Cost

Migration tools cost $50-5,000 depending on complexity. The real cost is internal team time verifying data, fixing issues, and training users on the new platform.

Budget 3-5x the tool cost in internal labor hours for significant migrations. Budget less for simple migrations, more for complex legacy systems.