DATABASE
Connect your
operational database
to your business systems.
Connect your application database to your CRM and ERP without maintaining custom sync scripts. Control field mapping and sync direction, and monitor record changes in Stacksync.
Explore database connectors
Explore the data, setup, and integration workflows for each system.
Database integration guides and resources
Choose between a read model and an application write-back path. Compare capture methods, test return writes, and coordinate schema changes with the selected connector.
FAQ
Frequently asked questions
What does database synchronization require?
Select the tables and business fields, preserve record identity, and verify database permissions. A read-only model and an application using two-way sync have different write requirements. The selected database connector determines its key, change-detection, and schema restrictions.
Does every database connector use log-based CDC?
No. The Postgres connector uses logical replication, while the MySQL setup documents database triggers for change logging. The separate Postgres Heroku connector also uses triggers when replication rights are unavailable. Follow the guide for the exact connector and hosting environment.
What primary keys does the Postgres connector require?
Each selected table needs a single-column primary key with a database-generated default. Composite primary keys are unsupported. The connected role also needs the documented ownership and replication permissions; confirm the hosting-specific procedure before changing replication settings.
Can database views participate in two-way sync?
A database view cannot be a writable destination for two-way sync. View support also varies by connector. Use a supported table when both sides need to accept writes, and confirm the selected source object separately when it only supplies data.
What happens when a Postgres table or column is renamed?
Renaming a schema, table, or column requires updating the Stacksync configuration. Treat the rename as a coordinated schema change: inspect the affected mappings, follow the documented update procedure, and verify representative records before expanding the sync again.
GET STARTED
Syncing data at scale across all industries.
- POC from integration engineers
- Two-way, real-time sync
- Workflow automation
- White-glove onboarding
FROM A CUSTOMER
“We've been using Stacksync across 4 different projects and can't imagine working without it.”




