Resolve Heroku Connect Missing Records Using Stacksync

Understanding Why Heroku Connect Misses Records

Data loss within Heroku Connect often originates from its polling-based architecture and its error-handling limitations. While functional for basic scenarios, this design is susceptible to several failure points when faced with real-world complexity, high data volumes, or transient network issues. The most common culprits include mapping errors, API limits, unresolved sync errors, and paused connections.

Mapping and Configuration Errors

One of the most direct reasons for missing records is a misconfiguration in your data mappings. If mappings between Salesforce objects and Postgres tables are incomplete, Heroku Connect will simply ignore the unmapped data. For example, if a new custom field is created in Salesforce, that data will be lost during synchronization until an engineer manually updates the mapping configuration. This creates a silent data gap that can persist undetected, as managing mappings is a manual and error-prone process [1].

API Limits and Sync Delays

Heroku Connect uses a polling mechanism to check for changes, which introduces latency. This problem is compounded by Salesforce API rate limits. During periods of high data volume, the sync process can be throttled or delayed, leading to a backlog of updates and increasing the risk of missed records [2]. Because it processes changes in a single thread, a high volume of updates to one object can create a bottleneck for all other data, meaning your Postgres database is often a stale representation of your Salesforce data [3].

Unresolved Sync Errors

When a record fails to sync due to a write error—such as a validation rule failure in Salesforce—Heroku Connect logs the issue but does not automatically resolve it [4]. There is no built-in automated retry mechanism for these persistent errors. This means a failed record remains out of sync until an engineer manually investigates the logs, diagnoses the problem, and corrects the source data [5]. This reactive process is inefficient and a common source of data discrepancies.

Paused or Inactive Connections

To manage resources, Heroku Connect may automatically pause connections it deems inactive. When a connection is paused, all data synchronization stops [6]. This creates significant data gaps that are difficult and time-consuming to reconcile once the connection is resumed. The backfill process can be slow and resource-intensive, risking further errors when attempting to fill a large historical data gap.

How Stacksync Solves the Problem of Missing Records

Stacksync was engineered from the ground up to provide reliable, real-time data synchronization. Its event-driven model is fundamentally different, designed to guarantee data integrity and eliminate the common causes of missing records that plague polling-based systems. A direct comparison in the Heroku Connect vs Stacksync: Real-Time Sync Showdown for Ops Teams highlights the clear advantages for mission-critical sync tasks.

Real-Time, Event-Driven Synchronization

Instead of polling for changes, Stacksync uses an event-driven architecture. It leverages webhooks and Change Data Capture (CDC) to instantly detect any create, update, or delete event in your source system. This triggers a synchronization process in milliseconds, not minutes. This architectural difference eliminates issues related to polling delays and data backlogs, ensuring your destination database is always an up-to-the-second replica.

Advanced Error Handling and Automatic Retries

Stacksync provides a dedicated issue management dashboard that offers complete visibility and control over the sync process. This proactive approach turns error resolution into a simple, managed process and is a core reason teams find Stacksync to be a powerful alternative to other iPaaS tools.

• Real-time notifications for any sync failure are delivered via Slack, email, or PagerDuty, so your team is immediately aware of issues.
• Automated retry logic for transient errors, such as temporary network outages, resolves most issues without manual intervention.
• A centralized dashboard where you can review, revert, or replay failed syncs with a single click, ensuring no failure goes unnoticed or unresolved.

These features provide a level of control and transparency that sets Stacksync apart from alternatives like Workato and Heroku Connect.

Smart API Rate Limit Management

Stacksync’s platform is designed to operate efficiently within API limits. Our Smart API Rate Limit feature intelligently manages data flow by dynamically adjusting to traffic patterns. It can switch between Bulk and REST APIs based on the workload to optimize for speed and efficiency, preventing throttling even during periods of high activity and ensuring a continuous data flow.

Guaranteed Data Delivery with Event Queues

To provide an unbreakable data pipeline, Stacksync utilizes enterprise-grade event queues. If your destination system is temporarily unavailable, Stacksync securely holds all incoming events in the queue. Once the connection is restored, it automatically processes the queued events in the correct order. This guarantees zero data loss, even during downtime, ensuring your data synchronization is resilient and fault-tolerant.

Making the Switch: From Heroku Connect to Stacksync

Migrating from Heroku Connect is a straightforward process designed to resolve existing data gaps and establish a reliable, real-time sync pipeline. Here are the actionable steps to replace Heroku Connect with a more scalable and resilient solution.

• 01Connect Your Systems: Use Stacksync's no-code interface to securely connect to your Salesforce and Postgres instances in minutes using OAuth and database credentials.
• 02Map Your Data: Intuitively map your Salesforce objects to your Postgres tables. Stacksync automatically suggests mappings and supports all standard and custom objects and fields.
• 03Run an Initial Sync: Perform a full data backfill to ensure all historical data is perfectly aligned and resolve any existing heroku connect missing records.
• 04Activate Real-Time Sync: Once the backfill is complete, activate the real-time, two-way sync. All changes will now be captured and synchronized instantly.
• 05Decommission Heroku Connect: With Stacksync running, you can safely pause and remove your old Heroku Connect mappings to prevent conflicts and finalize your transition.