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Data engineering

Fix Heroku Connect Bottlenecks with Real-Time Stacksync Sync

Fix common Heroku Connect bottlenecks like sync latency and API limits with Stacksync, a superior, real-time alternative for Salesforce data sync.

Fix Heroku Connect Bottlenecks with Real-Time Stacksync Sync

Heroku Connect is a popular tool for synchronizing data between Salesforce and a Heroku Postgres database. While useful, many businesses eventually encounter significant Heroku Connect bottlenecks. These issues can lead to frustrating data delays, exhausted API limits, and operational headaches that slow down your entire team.

This article will explore the common causes of these bottlenecks and introduce Stacksync as a superior, real-time alternative. We'll show you how to eliminate these frustrations and power your applications with live, consistent data.

Understanding Common Heroku Connect Bottlenecks

Performance issues are a frequent complaint among Heroku Connect users, especially as data volumes grow. These aren't just minor annoyances; they are fundamental problems rooted in its architecture. Let's break down the most prevalent issues.

Sync Latency from 10-Minute Polling

Heroku Connect uses a polling mechanism, which means it checks for new data changes roughly every 10 minutes. This creates a built-in delay, so your Postgres database is never truly synchronized in real-time. For modern applications, this latency can be a deal-breaker, causing sales teams to work with outdated lead information or customer-facing apps to show incorrect data, leading to operational friction and poor user experiences [1].

Salesforce API Limit Constraints

Think of your Salesforce API calls like a daily budget. To check for and sync data, Heroku Connect continuously spends from this budget. For businesses with large amounts of data or frequent updates, this can quickly use up the entire day's allowance, causing the sync to stop and creating even bigger backlogs [2]. This is a critical bottleneck for data-intensive applications and a major source of unexpected costs.

Scalability Issues with Large Data Volumes

Heroku Connect’s performance often degrades when syncing tables with millions of rows. The initial sync for a large dataset can take hours or even days. More importantly, ongoing synchronization in high-transaction environments struggles to keep up, creating a perpetual queue of unsynced data. This makes it an unreliable choice for building a scalable enterprise data warehouse or any application that needs a complete and timely view of your business data [3].

Limited and Complex Error Handling

Troubleshooting sync errors in Heroku Connect can be a difficult and time-consuming process for engineering teams [4]. The error messages are often cryptic, and finding the root cause requires developers to spend hours digging through logs. This manual approach to fixing problems wastes valuable time that could be spent building new features instead of just maintaining brittle data pipelines.

Stacksync: The Real-Time Solution to Heroku Connect Bottlenecks

Stacksync is a modern data synchronization platform designed to overcome the limitations of traditional tools like Heroku Connect. As an event-driven, scalable, and developer-friendly solution, Stacksync is the ideal Heroku Connect alternative for businesses that need reliable, live data.

True Real-Time, Bidirectional Sync

Unlike Heroku Connect's 10-minute polling, Stacksync uses an event-driven architecture that syncs data in milliseconds. When a record is updated in Salesforce, an event is captured and propagated to your database instantly. This true two-way, real-time synchronization guarantees data is always consistent across all your connected systems—perfect for mission-critical use cases like internal tools or customer-facing applications that depend on live data.

Smart API Management That Avoids Quotas

Stacksync includes a "Smart API Rate Limits" feature that intelligently manages API calls to prevent you from hitting your quotas. It adapts to your data traffic and dynamically batches updates, ensuring your sync runs continuously without interruptions. This means no more backlogs or unexpected costs from exhausted API limits. See how Stacksync compares to other Workato and Heroku Connect alternatives for real-time data sync.

Effortless Scalability and Robust Error Handling

Engineered for scale, Stacksync handles millions of records from day one without performance degradation. It also simplifies troubleshooting with a dedicated sync issue management dashboard that provides clear, actionable insights into any problems. Features like real-time alerts and the ability to retry or revert issues with a single click save valuable engineering time and give you confidence in your data infrastructure. Stacksync is the clear choice when you need to replace Heroku Connect with affordable real-time sync that scales.

Heroku Connect vs. Stacksync: A Quick Comparison

The differences between the two platforms become clear when you compare them side-by-side.

Category Heroku Connect Stacksync
Sync Speed ~10-minute polling Real-time (milliseconds)
Architecture Batch-based Event-driven
API Management Hits API limits Smart rate limits
Scalability Struggles with large volumes Scales to millions of records
Error Handling Complex and manual Automated dashboard and alerts
Pricing Row-based Flexible and predictable

Key Takeaways

Heroku Connect slows down at scale, often triggers API-limit failures, and requires manual debugging and row-based pricing that grows sharply.

Stacksync provides millisecond syncs with smart API management, automated issue handling, and predictable pricing that scales with your needs.

For high-volume, mission-critical data pipelines, Stacksync offers a faster, smarter, and more cost-efficient alternative.

This table highlights Stacksync's technical advantages, which translate into a more reliable, scalable, and cost-effective solution. For a deeper dive, check out our comparative analysis of pricing models.

Conclusion: Eliminate Bottlenecks and Embrace Real-Time Sync

Heroku Connect's polling architecture, API limitations, and scalability issues create significant bottlenecks for any modern business. These problems lead to outdated data, frustrated teams, and missed opportunities.

Stacksync provides the definitive solution with the real-time speed, scalability, and robust management features needed to support your most critical operations. If you're tired of dealing with Heroku Connect bottlenecks, it's time to upgrade your data infrastructure.

Book a demo or sign up for a free 14-day trial to see how Stacksync can transform your data workflows.

→  FAQS
What causes Heroku Connect to be so slow?
The primary reason for Heroku Connect's slowness is its architecture, which relies on a polling mechanism. Instead of syncing data instantly when a change occurs, it checks for updates in batches roughly every 10 minutes. This built-in delay means your data is always lagging behind. Performance can degrade further when dealing with large data volumes or complex Salesforce triggers, as the system struggles to process a high number of changes within its polling window, leading to compounding delays.
How can I get real-time data sync between Salesforce and Postgres?
To achieve true real-time data synchronization, you need a tool that uses an event-driven architecture rather than polling. Platforms like Stacksync connect directly to the event streams of your applications. When a record is created or updated in Salesforce, an event is triggered instantly, and the data is pushed to your Postgres database in milliseconds. This eliminates the latency inherent in batch-based systems and ensures your database is always an up-to-the-minute replica of your source data.
Does Heroku Connect use a lot of Salesforce API calls?
Yes, Heroku Connect can consume a significant portion of your daily Salesforce API allowance, especially in environments with large datasets or frequent updates. It uses both the Bulk API for large batches and the SOAP API for smaller, more frequent updates. If you have many mappings or high data churn, you can easily hit your API limits, which will pause all synchronization and disrupt your data workflows until the limit resets.
Is Stacksync a direct replacement for Heroku Connect?
Stacksync is more than a direct replacement; it is a modern, real-time alternative designed to solve the core bottlenecks found in Heroku Connect. While both tools sync data between Salesforce and a database, Stacksync uses an event-driven architecture for millisecond-speed updates, includes smart API rate-limiting to avoid hitting quotas, and offers superior error handling and monitoring. It is designed for businesses that require scalable, reliable, and truly real-time data for their critical applications.
How do I reduce API consumption when syncing Salesforce data?
Reducing API consumption involves moving away from inefficient polling methods and adopting a more intelligent sync strategy. An event-driven platform like Stacksync is inherently more efficient because it only processes actual changes as they happen. Furthermore, features like Smart API Rate Limits automatically batch updates and manage call frequency to stay within your Salesforce quotas without sacrificing speed, ensuring your sync is both fast and cost-effective.