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Data engineering

Affordable Heroku Connect Replacements That Save 70%

Find affordable Heroku Connect replacements and cut your data sync costs by up to 70% with superior real-time performance and features.

Affordable Heroku Connect Replacements That Save 70%

Heroku Connect is a data synchronization service that links Salesforce data with a Heroku Postgres database, creating a data replica for development, analytics, or building customer-facing applications. While powerful, a common problem emerges as data volumes grow: Heroku Connect becomes prohibitively expensive, with costs escalating into thousands of dollars per month. For businesses aiming to scale efficiently, the search for affordable Heroku Connect replacements that offer superior features without the steep price is a critical initiative.

This article explores the limitations and soaring costs of Heroku Connect and introduces modern alternatives that can reduce data synchronization expenses by up to 70%. We will cover what Heroku Connect is and what alternatives exist in the market today.

The Soaring Costs and Limitations of Heroku Connect

While Heroku Connect provides a functional bridge between Salesforce and Postgres, its value proposition diminishes when you examine the total cost of ownership and inherent technical limitations.

The Price of Syncing

Heroku Connect's pricing isn't a simple line item. Bi-directional sync capabilities are bundled into expensive starter packages, creating a significant financial barrier. For instance, the Dev Starter package begins at €4,000/month, while the Prod Starter package is a staggering €40,000/month [1]. These figures don't even include the cost of the underlying Heroku dynos required to run your application, which adds to the total monthly expense [2]. This bundled model forces companies to pay for a suite of services they may not need just to access a core sync feature.

Beyond the Price Tag: Key Limitations

The high cost is only part of the story. Technical teams often encounter several operational constraints:

  • Not Truly Real-Time: On many plans, Heroku Connect polls for changes every 10 minutes. While its Accelerated Polling feature using Salesforce Change Data Capture (CDC) offers an improvement, it's still a polling-based architecture, not a true event-driven, real-time sync, and doesn't cover all use cases [3].
  • Limited Error Handling: The platform lacks a granular, user-friendly dashboard for issue management. Sync failures can occur silently, leading to data drift and inconsistencies that are difficult to diagnose and resolve without manual intervention.
  • Narrow Scope: Heroku Connect is purpose-built for one job: syncing Salesforce with Heroku Postgres. This is a significant limitation for any organization with a more diverse tech stack or future plans to integrate other CRMs, ERPs, or databases.

Key Features to Look for in a Heroku Connect Alternative

When evaluating replacements, it's crucial to look beyond a simple point-to-point connection. A modern data integration platform should empower your engineering teams, not just replicate data.

Here is a checklist for evaluating potential replacements:

  • True Real-Time, Two-Way Sync: Look for sub-second, event-driven synchronization that propagates changes bidirectionally in milliseconds, not minutes.
  • Cost-Effectiveness: The platform should offer a transparent, predictable pricing model that scales reasonably with your data volume, not one based on expensive, bundled packages.
  • Scalability: It must provide the confidence to sync millions of records from day one without performance degradation or the need for constant re-architecting.
  • Ease of Use: A no-code or low-code setup is essential to reduce engineering time spent on API plumbing and minimize ongoing maintenance.
  • Advanced Features: The tool should offer capabilities like workflow automation, smart API rate limit management, and a robust issue management dashboard.
  • Security and Compliance: It must be enterprise-ready, with support for SOC 2, GDPR, and other compliance standards, alongside secure connection options.

Finding a solution that checks these boxes is key to an affordable real-time sync that scales with your business.

Stacksync: The #1 Cost-Effective Heroku Connect Replacement

Stacksync is a modern data sync and workflow automation platform engineered to address the cost and performance shortcomings of legacy tools like Heroku Connect. It provides true real-time, bi-directional synchronization between CRMs, ERPs, and databases. For companies feeling constrained by Heroku Connect, Stacksync is more than just an alternative; it's a strategic upgrade and a great alternative to Heroku Connect that offers more flexibility and power.

How Stacksync Delivers 70% Cost Savings

Stacksync’s efficient, usage-based pricing model stands in stark contrast to Heroku's expensive bundled packages. Instead of paying a massive flat fee, you pay for the records you actually sync, with costs decreasing at scale. This transparency and predictability can lead to significant savings. Many organizations find they can cut cloud costs substantially by making the switch [4].

Consider a hypothetical scenario for a company syncing 1 million records:

Feature / Metric Heroku Connect (Prod Starter) Stacksync (Pro Plan)
Base Plan Cost €40,000/month $3,000/month
Records in Sync Included 1 Million Included
Primary Use Salesforce <> Heroku Postgres Any 3 Systems (e.g., SFDC, Postgres, NetSuite)
Real-Time Sync Polling-based (minutes) Event-driven (milliseconds)
Potential Savings >90%

Key Takeaways

Stacksync delivers real-time, event-driven synchronization across multiple systems at a fraction of the cost — offering >90% savings compared to Heroku Connect’s enterprise pricing.

Heroku Connect is limited to Salesforce ↔ Postgres sync and relies on polling, leading to latency and higher monthly expenses.

For organizations scaling integrations beyond Salesforce, Stacksync provides a faster, more flexible, and cost-efficient alternative.

Note: This is an illustrative comparison. Exact savings depend on your specific plan and data volume.

Feature-by-Feature Comparison: Stacksync vs. Heroku Connect

The differences go far beyond price. A direct feature comparison reveals why modern platforms are superior Heroku Connect alternatives with better pricing [5] [1].

Feature Heroku Connect Stacksync
Real-Time Sync Polling-based (10 min default) Event-driven (sub-second latency)
Two-Way Sync Yes, for Salesforce & Postgres True bi-directional sync for all supported connectors
Scalability Tied to expensive Heroku plans Built to sync millions of records from day one
Pricing Model High-cost, bundled packages Transparent, usage-based pricing
Issue Management Basic logging, risk of silent failures Dedicated dashboard to monitor, retry, and revert failed syncs
Workflow Automation No Built-in, no-code workflow automation engine
Supported Connectors Salesforce & Heroku Postgres only 200+ connectors for CRMs, ERPs, databases, and SaaS apps

Key Takeaways

Stacksync provides sub-second, event-driven synchronization across 200+ systems, complete with two-way sync, workflow automation, and proactive issue management — all in one managed platform.

Heroku Connect is limited to Salesforce ↔ Postgres syncing, using polling intervals that delay data updates and increase operational costs.

For companies seeking real-time scalability without the Heroku overhead, Stacksync offers faster performance, broader integrations, and predictable pricing.

Go Beyond Basic Sync with Stacksync

Stacksync is engineered to be more than just a data replication tool. It's an operational hub for your data.

  • Workflow Automation: Trigger actions in other systems based on real-time data changes. For example, automatically enrich a new lead in Salesforce with data from a third-party API or update a financial record in your ERP when a deal is closed.
  • Advanced Issue Management: Our dedicated dashboard provides complete visibility into your sync health. See exactly why a record failed, inspect the payload, and retry or revert the sync with a single click—eliminating data inconsistencies.
  • A Unified Data Ecosystem: Break free from the Salesforce-Postgres lock-in. With Stacksync, you can build a truly integrated data ecosystem, whether you need to sync Workday and Salesforce, connect NetSuite to Snowflake, or integrate HubSpot with your production database.

How to Seamlessly Migrate from Heroku Connect to Stacksync

Migrating away from Heroku Connect is a straightforward process designed to be completed with minimal engineering effort and zero downtime.

  1. Set Up Your Free Trial: Sign up for Stacksync's 14-day free trial to get started.
  2. Connect Your Systems: Use our no-code interface to securely connect Salesforce and PostgreSQL in minutes. Authentication is handled via OAuth, with no complex API keys to manage.
  3. Configure & Map: Select the standard and custom objects you want to sync. Stacksync automatically detects your schema and suggests field mappings, which you can customize as needed.
  4. Test and Monitor: Run an initial backfill sync and use the real-time monitoring dashboard to validate that data is flowing correctly and consistently.
  5. Go Live: Once you've confirmed the sync is running perfectly, simply disable your Heroku Connect sync and let Stacksync take over.

For a deeper technical dive, you can also join our demo on building real-time Salesforce & Postgres two-way sync.

Conclusion: Upgrade Your Data Sync and Your Budget

Heroku Connect served a purpose, but it is a costly and limited solution in the context of a modern data stack. Its restrictive pricing and technical constraints create an unnecessary drag on your budget and engineering velocity.

As you look for the best Heroku Connect alternatives in 2025 for cost-effective data integration, platforms like Stacksync offer a clear path forward [2]. By switching, you gain superior real-time performance, enterprise-grade features like workflow automation, and the flexibility to integrate your entire tech stack all while achieving dramatic cost savings.

Ready to stop overpaying for data sync? Explore the Stacksync | Data Sync & Workflow Automation Platform and start your free trial today.

→  FAQS
How much can I really save by switching from Heroku Connect?
Savings can be 70% or more, depending on your data volume and current Heroku plan. Stacksync’s pricing is granular and scales predictably with your record count, which helps you avoid the large, flat-rate pricing jumps associated with Heroku's bundled packages. This allows you to pay only for what you use.
Can Stacksync handle large data volumes and enterprise scale like Heroku Connect?
Yes. Stacksync is engineered to sync millions of records from day one and is trusted by enterprise clients for mission-critical operations. Our managed infrastructure is designed to handle scaling automatically, ensuring consistent, high-speed performance whether you are syncing ten thousand or ten million records.
Is it difficult to migrate from Heroku Connect to an alternative like Stacksync?
No, the migration process is designed to be seamless and straightforward. With a no-code setup, you can connect your systems and configure your first sync in minutes. We also provide a 14-day free trial, comprehensive documentation, and white-glove onboarding support to ensure a smooth and successful transition.
Does Stacksync support two-way sync for custom Salesforce objects and fields?
Absolutely. Stacksync offers full support for all standard and custom objects and fields within Salesforce for both one-way and true bi-directional synchronization. This gives you complete flexibility to tailor the integration to your specific business logic and data models, a core component of our real-time data sync for Salesforce Postgres integration.
What happens if a sync fails? How does Stacksync handle errors compared to Heroku Connect?
Stacksync provides a dedicated Issue Management dashboard that offers superior error handling. Unlike the risk of silent failures with other tools, you get real-time alerts (via Slack, email, etc.) and can see the exact error, inspect the payload, and retry or revert the failed record with a single click. This prevents data drift and ensures your data remains consistent and reliable.