We started using Stacksync to replace a set of custom API integrations we had built between Salesforce and Postgres. The original scripts took two engineers about three months to build and broke constantly whenever Salesforce changed their API versioning.

Stacksync gives you a Postgres-native interface to your CRM data. You write SQL against what feels like local tables, but the data is synced bi-directionally with Salesforce in real time. That alone saved us from maintaining a custom middleware layer.

What stood out:

• No proprietary query language. Everything is standard SQL. Our backend team didn't need to learn a new tool or SDK.

• Bi-directional sync. We write to Postgres and changes propagate back to Salesforce. Not just a read replica.

• No API rate limit headaches. Stacksync handles the API calls on their side, so we stopped hitting Salesforce throttling during peak hours.

• Works with our existing stack. We plugged it into our CI/CD pipeline without changing our deployment process.

The setup was straightforward. We connected Salesforce, pointed it at our Postgres instance, mapped the objects we needed, and had data flowing within a day. The mapping UI is simple but covers the cases we needed.

If your team spends time maintaining brittle integrations between your CRM and your database, this is worth evaluating. It replaced weeks of maintenance work for us.