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Data engineering

Escape Poor Real‑Time Sync on Heroku Connect with Stacksync

Escape poor real-time sync on Heroku Connect with Stacksync—the modern, event-driven alternative for instant, bidirectional data synchronization.

Escape Poor Real‑Time Sync on Heroku Connect with Stacksync

When you use Heroku to build your apps, keeping your data in sync with Salesforce is a common and critical need. However, many teams run into a major roadblock: heroku connect poor real time sync. The delays it causes, even if just a few minutes, can create frustrating experiences for your customers, slow down your internal teams, and make your business reports inaccurate. This delay isn't just a small bug; it can lead to data that you can't trust.

Stacksync is the solution to this problem. It was built specifically to provide true real-time, two-way data synchronization, moving information between your systems in milliseconds, not minutes.

The Root of the Problem: Heroku Connect's Sync Latency

Heroku Connect is a tool that synchronizes data between your Salesforce account and a Heroku Postgres database [8]. Think of it as a bridge that lets you work with your Salesforce data using a standard database. The problem is how this bridge works. It relies on a "polling-based" method, which means it periodically checks for new data.

By default, Heroku Connect only checks for updates every 10 minutes. While you can change this setting, the core issue remains: there will always be a delay. Even with newer features like "Accelerated Polling" that use Salesforce Change Data Capture (CDC), it isn't truly instant and can add complexity [7]. This can lead to performance problems, like using up all your Salesforce API calls or creating a long queue of updates during busy times [3]. When teams need their data to be instantly consistent, this delay is a dealbreaker, leading them to look for Heroku Connect alternatives.

Stacksync: The Real-Time Alternative That Scales

Stacksync is a modern platform that uses an "event-driven" approach for true real-time, two-way data sync. It is designed to overcome the exact limitations you find in tools like Heroku Connect. Stacksync provides an affordable and powerful way to replace Heroku Connect, allowing you to build with confidence.

True Bidirectional, Millisecond-Speed Sync

The biggest difference is how Stacksync works. Instead of checking for changes every few minutes (polling), Stacksync gets an instant notification the moment data changes (event-driven). This allows data to be synced in milliseconds, making real-time applications possible. It also works perfectly in both directions, so a change in Salesforce is instantly reflected in your database, and a change in your database is instantly reflected in Salesforce, with no conflicts or inconsistencies.

Built for Scale and Reliability

Stacksync is built to handle huge amounts of data—even millions of records—without slowing down. A common frustration with Heroku Connect is hitting your Salesforce API limits. Stacksync solves this with "Smart API Rate Limits," which automatically slows down or speeds up to make sure you never run out of available API calls.

To ensure you never have a "silent failure" where a sync breaks without you knowing, Stacksync includes a dashboard where you can see the health of your syncs. You get instant alerts if something goes wrong and can fix it with a single click. This reliability is why it's the clear choice in any Heroku Connect vs. Stacksync comparison.

Comparing Heroku Connect and Stacksync for Real-Time Needs

To make the differences clear, let's compare the two platforms side-by-side. While Heroku does offer ways to improve performance, they often require a lot of manual work and don't fix the core architectural problems [4].

This table offers a direct 2025 comparison of cost, speed, and scalability for a clearer picture.

Category Heroku Connect Stacksync
Sync Speed Minutes to 10+ minutes polling Milliseconds, event-driven
Sync Direction Primarily one-way, with delayed write-back True real-time two-way sync
Scalability Can experience latency with high volume Designed for millions of records
Error Handling Requires manual log checks, potential for silent failures Visual dashboard, real-time alerts, and one-click retry
API Management Can hit Salesforce API limits Smart, adaptive rate limits to avoid hitting quotas

Key Takeaways

Heroku Connect relies on slow polling, faces API-limit issues, and increases operational risk through delayed writes and silent failures.

Stacksync delivers true real-time two-way sync with millisecond latency, smart API protection, and automated issue handling.

For teams that need high-volume reliability and instant data accuracy, Stacksync provides a faster, safer, and more scalable solution.

Making the Switch: A Smooth Transition to Real-Time Sync

Moving from Heroku Connect to Stacksync is a simple process designed to take hours, not weeks, with no coding required.

  1. Connect Your Systems: Use Stacksync's simple setup screen to connect your Salesforce account and your database.
  2. Configure Mappings: Use the visual tool to choose which data you want to sync, including any standard or custom fields.
  3. Test the Sync: Run a quick test to see your data syncing between systems in milliseconds.
  4. Go Live: Pause your old Heroku Connect sync and turn on Stacksync to enable true real-time synchronization.

Ready to end sync delays for good? Book a demo with us to see just how easy it is to make the switch.

→  FAQS
How does Stacksync achieve faster sync speeds than Heroku Connect?
Stacksync uses an event-driven architecture instead of a polling-based one. This means data changes are captured and pushed instantly, in milliseconds, as they happen. Heroku Connect relies on polling, where it periodically checks for updates at set intervals, typically every ten minutes by default, which inherently creates a delay.
Is it difficult to switch from Heroku Connect to Stacksync?
The migration process is designed to be straightforward. Stacksync offers a no-code setup that allows you to connect your Salesforce and database instances quickly. You can then use a visual interface to configure your data mappings. Most users can set up and test their new, faster sync within a day without writing any code.
Can Stacksync handle large data volumes and custom Salesforce objects?
Yes, Stacksync is built to scale and can handle millions of records without performance issues. It supports all standard and custom objects and fields in Salesforce right out of the box, ensuring that your entire data model, no matter how complex, can be synchronized in real-time.
What happens if a sync fails in Stacksync?
Stacksync is designed to prevent silent failures. It features a comprehensive issue management dashboard that provides full visibility into the health of your data flows. If an issue occurs, you receive real-time alerts and can retry or revert the sync with a single click, ensuring you always have control over your data.
How does Stacksync manage Salesforce API limits differently from Heroku Connect?
Stacksync includes a feature called Smart API Rate Limits. This system intelligently monitors your data traffic and the resource budget of your connected systems, like Salesforce, and automatically adjusts the sync speed to prevent you from ever hitting your API quotas. This avoids the sync interruptions and errors that can occur with Heroku Connect.