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Data engineering

Fix Heroku Connect Relationship Sync Issues with Stacksync

Fix frustrating Heroku Connect relationship sync issues with Stacksync, a reliable, real-time alternative for syncing Salesforce and Postgres data.

Fix Heroku Connect Relationship Sync Issues with Stacksync

For many development teams, keeping data flowing smoothly between Salesforce and a Heroku Postgres database is crucial for building powerful applications. However, this process can quickly become a major headache due to Heroku Connect relationship sync issues.

When you're dealing with connected data (like an account and its contacts), these sync problems can lead to incorrect information, broken app features, and hours of frustrating troubleshooting.

This article will walk you through the most common relationship sync problems users face with Heroku Connect and show you how Stacksync offers a modern, reliable solution to fix them for good.

Understanding Common Heroku Connect Relationship Sync Issues

Heroku Connect is a handy tool for syncing Salesforce data to a Postgres database, but it often has trouble with the complex way Salesforce structures its data [7]. This is especially true for object relationships, where sync failures can become a constant source of trouble for developers.

Challenges with Lookup and Master-Detail Relationships

One of the most common pain points is keeping parent-child relationships (like Salesforce's Lookup and Master-Detail fields) in sync. Heroku Connect's method for handling these connections can be fragile [4]. Teams often find that related records sync with delays, leading to two major issues in the Postgres database:

  • Foreign Key Errors: A child record (like a contact) tries to sync to Postgres before its parent (the account) has arrived. The database then rejects the child record because its link to the parent doesn't exist yet.
  • Orphaned Records: The sync process fails partway through, leaving child records in your database without their parent records. This breaks the data relationship and corrupts your database's integrity.

Sync Failures with Formula and Roll-Up Summary Fields

A significant and well-known weakness of Heroku Connect is that it often fails to sync updates from formula fields and roll-up summary fields [8]. Salesforce calculates these fields on the fly, so when a related record changes, it doesn't always trigger a standard "update" notification for the parent record. As a result, Heroku Connect doesn't see a change to sync, leaving your Postgres database with outdated and incorrect information.

Frequent Sync Errors and Stuck Processes

If you've used Heroku Connect, you've likely run into confusing errors and processes that get stuck and require manual fixing. Some of the most frequent problems include:

  • Flow Errors: A sync fails because it triggers a Salesforce Flow that isn't built to handle a large number of updates at once [3].
  • Database Exceptions: The sync stops with InvalidDatabaseException or DatabaseValidationFailed errors, which often means essential system tables are missing from your database schema [6].
  • Stuck Schema Alterations: A mapping gets stuck in the "Altering DB schema" status, usually because another process has locked the database table [2].

Trying to solve these issues means digging through technical documentation and spending valuable development time on maintenance instead of building new features [5].

Why Heroku Connect Fails at Complex Relationship Syncing

To understand why these problems happen so often, we need to look at the "why"—the core architectural limits of Heroku Connect. These limitations are exactly why so many teams start searching for a better Heroku Connect alternative designed for modern data needs.

The Problem with Polling-Based Architecture

Heroku Connect works by "polling," which means it checks Salesforce for changes on a set schedule, often every ten minutes. This creates a built-in delay between when data changes in Salesforce and when it appears in your database. For applications that need up-to-the-minute data, this lag is a dealbreaker. It also increases the risk of sync conflicts, especially with related records that need to be updated in a specific order.

Lack of Advanced Error Handling and Visibility

When a sync fails in Heroku Connect, figuring out why can be a real challenge. Error messages are often vague, and there isn't a central dashboard to see and manage problems easily [1]. This forces developers to spend time digging through logs just to diagnose an issue. When you look at Stacksync vs Workato and Heroku Connect alternatives, the difference in how easily you can manage and fix issues is night and day.

Stacksync: A Reliable Solution for Salesforce-Postgres Relationship Syncing

Stacksync is a modern data integration platform built for developers. It's designed to solve the exact relationship sync issues that cause so much trouble in Heroku Connect. For teams that need reliable, scalable, and real-time sync between Salesforce and Postgres, Stacksync is the clear solution. A direct Heroku Connect vs Stacksync comparison highlights just how different the two approaches are.

Real-Time, Event-Driven Architecture

Instead of checking for changes on a schedule, Stacksync uses a real-time, event-driven approach. It listens for changes in Salesforce the moment they happen and instantly syncs them to your database. This ensures that related records are synced in the correct order and without any lag, keeping your data perfectly consistent. This real-time power is built into our Postgres Heroku two-way sync connector.

Advanced Issue Management and Observability

Stacksync gives you the visibility and control that Heroku Connect is missing. With our platform, you get:

  • A Sync Issue Management Dashboard: A single, clear place to see, diagnose, and fix any sync failures.
  • Real-Time Alerts: Instant notifications in Slack, PagerDuty, or email the moment a problem occurs.
  • One-Click Resolution: The ability to retry or revert a failed sync with a single click, empowering your team to fix issues in seconds, not hours.

Designed for Complexity and Scale

Stacksync is engineered to handle even the most complex data models, including custom objects, intricate relationships, and massive amounts of data, without slowing down. It supports true two-way synchronization, meaning data stays consistent whether it's changed in Salesforce or your Postgres database. This makes Stacksync the perfect tool to replace Heroku Connect with an affordable, real-time sync that scales.

Get Started with Stacksync to Fix Your Sync Issues

Don't let Heroku Connect relationship sync issues slow down your development and compromise your data. Stacksync provides a superior, reliable, and developer-friendly solution for syncing Salesforce and Heroku Postgres. By switching to Stacksync's real-time platform, you can eliminate sync errors, guarantee data consistency, and free up your engineering team to focus on building great applications.

Ready to experience a seamless sync? Book a demo with our cloud architects or start your 14-day free trial today.

→  FAQS
How does Stacksync handle syncing Salesforce roll-up summary fields that Heroku Connect misses?
Stacksync uses an event-driven architecture that can be configured to listen for changes in related objects. When a change on a child record triggers an update to a parent record's roll-up summary field, Stacksync detects this event in real-time and ensures the updated value is immediately synced to your Postgres database, preventing the data discrepancies common with Heroku Connect's polling method.
Can Stacksync sync related records in the correct order to avoid dependency errors?
Yes, Stacksync is designed to manage dependencies in complex relationships. It ensures that parent records are created or updated before their corresponding child records are synced. This intelligent ordering prevents foreign key constraint violations and other dependency-related errors that frequently occur in less robust sync solutions, ensuring your database relationships remain intact and consistent.
What happens if a sync fails for a related object in Stacksync?
When a sync fails, Stacksync provides immediate and actionable feedback. The failure is logged in an issue management dashboard where you can see the exact error message and payload. You'll receive real-time alerts via tools like Slack or PagerDuty, and from the dashboard, you can choose to retry the sync with a single click or revert the change, giving you full control over resolving issues without manual intervention.
Is it difficult to migrate my existing Heroku Connect mappings to Stacksync?
Migrating from Heroku Connect to Stacksync is a straightforward process. Stacksync offers a no-code setup that allows you to quickly connect your Salesforce and Postgres instances. Its intuitive UI simplifies the process of mapping objects and fields, including complex relationships and custom objects. Our support team also provides guidance to ensure a smooth transition with minimal downtime.
How does Stacksync's real-time sync prevent data conflicts with complex relationships?
Stacksync's real-time, bidirectional sync minimizes the window for data conflicts to occur. By capturing and propagating changes in milliseconds, it ensures that both Salesforce and your database are always aligned. If simultaneous changes do happen, Stacksync provides conflict resolution settings to define which source should win, preventing the data integrity issues and overwrites that can occur with the long polling intervals of Heroku Connect.