Cloud Replication
Migrate Off Heroku Connect: Zero-Downtime Salesforce to Postgres Sync
Keep your Salesforce data continuously replicated to Heroku Postgres with bi-directional, near-real-time sync. DBSync is the Heroku Connect alternative that’s still actively engineered – so your Salesforce–Heroku Postgres pipeline keeps evolving with every new object, field, and API version, instead of freezing in place.
- Bi-directional Salesforce ⇄ Heroku Postgres sync
- Near Real Time, not scheduled polling
- Replicate beyond Postgres - Snowflake, SQL Server, MySQL & more
5 min
Minimum sync interval
Bi-directional
Salesforce ⇄ Postgres
1 hour
Typical time to first sync
SOC 2 · HIPAA · GDPR
Enterprise-grade security
These are the Salesforce–Heroku Postgres replication workloads we see move off Heroku Connect most often.
Common Salesforce to Postgres use cases
Salesforce ⇄ Postgres replication (Heroku Connect replacement)
Replicate the exact mapping set you already run in Heroku Connect, then extend it with objects Connect doesn't handle well, like Big Objects or complex junction records.
Multi-target replication beyond Postgres
Go beyond the single-database pattern Heroku Connect was built for - replicate Salesforce data to SQL Server, MySQL, Snowflake, or a data warehouse from one platform.
Custom object & Big Object replication
Sync Salesforce objects that Heroku Connect handles poorly or not at all, including custom junction objects and high-volume Big Objects.
Real-time reporting & analytics offload
Keep a continuously fresh copy of Salesforce data in your warehouse or BI database without hitting Salesforce API limits or waiting on a scheduled batch job.
Multi-org Salesforce consolidation
Replicate data from multiple Salesforce orgs into a single Heroku Postgres database for consolidated reporting after a merger, acquisition, or regional org split.
Zero-downtime cutover during re-platforming
Already moving app hosting off Heroku to Render, AWS, or elsewhere? Run DBSync alongside the cutover so Salesforce sync never has a gap, wherever the app lives.
Near Real-time Salesforce ⇄ Heroku Postgres sync, actively engineered
Move the sync, not the whole project
Replace the Heroku Connect pattern without re-platforming your app. Point DBSync at the same Salesforce org and Heroku Postgres database, and it runs the sync going forward - your hosting decision stays completely independent.
Migrate incrementally, not in one rewrite.
Bi-directional sync with conflict resolution
Field- and object-level mapping, native support for custom objects and big objects, built-in retry and error queues - using near real time instead of polling.
Same sync job you run today, not frozen in place.
Replicate beyond a single Postgres
Extend past Heroku Connect's single-target design to also sync into Snowflake, SQL Server, MySQL, or a second Salesforce org - all from one platform.
One tool for every downstream target.
QUICK SETUP GUIDE
How the Salesforce ⇄ Postgres migration works
A four-step path, run alongside your existing pipeline. Your Heroku Connect mappings keep running while we validate the new pipeline - no cutover until parity is proven.
1. Map your current sync
We inventory every Heroku Connect object, field mapping, and trigger you currently run.
2. Rebuild in parallel
DBSync Cloud Replication runs side-by-side with Heroku Connect, syncing to a staging target.
3. Validate parity
Row-level reconciliation confirms the new pipeline matches Heroku Connect output before go-live.
4. Cut over on your schedule
Disable Heroku Connect mappings once DBSync is verified - no shared downtime window required.
What sustaining mode looks like for Heroku Connect users
If you rely on Heroku Connect, a frozen roadmap shows up in three concrete ways.
01
Sync logic can't evolve with your Salesforce org
- New Salesforce objects, fields, and API versions keep shipping. A frozen roadmap means Heroku Connect's mapping and conflict-handling capabilities stay where they are today.
02
Slower answers when sync breaks
- A smaller sustaining team means longer queues for edge-case bugs - and teams already run manual “health checks” on their Connect pipelines to catch drift before it compounds.
03
Single-target design won't grow with you
- Heroku Connect only ever synced to Postgres. Need to also replicate into Snowflake, SQL Server, or a second Salesforce org? That's outside the scope of what a frozen platform can add.
Heroku Connect vs. DBSync - how the sync compares
If you're weighing a Heroku Connect alternative for your Salesforce– Postgres sync, here's how DBSync Cloud Replication compares.
|
Capability
|
Heroku Connect
 |
DBSync Cloud Replication
 |
|---|---|---|
|
Product roadmap |
Sustaining engineering only - no new features |
Actively developed, versioned releases |
|
Sync targets |
Heroku Postgres only |
Postgres, MySQL, SQL Server, Snowflake & more |
|
Sync method |
Polling-based, scheduled |
Near Real Time |
|
Custom objects & Big Objects |
Limited support |
Native support |
|
Multi-org consolidation |
Single org, single target |
Multiple Salesforce orgs into one target |
|
Sync visibility |
Limited dashboard |
Sync-health dashboards & error queues |
|
Support model |
Sustaining-mode queue |
Direct engineering-backed support |
Why teams move the sync layer first
Benefits of moving your Salesforce– Postgres sync off Heroku Connect now, not later.
-
An actively developed roadmap - sync logic evolves with Salesforce API and schema changes, not frozen at a fixed baseline.
-
Faster support response - direct engineering-backed support instead of a sustaining-mode queue.
-
Lower long-term cost exposure - no compounding platform-runtime risk sitting underneath your data sync.
-
Near Real-time sync instead of scheduled polling - means updates propagate as they happen.
-
Incremental migration, not a rewrite - your app-hosting decision stays independent and can happen on your own timeline.
-
Built-in visibility - sync-health dashboards and error queues replace manual health-check habits.
Saleforce Postgres On-Demand Demos
See DBSync in Action
Integrate applications, automate workflows, and replicate data for improved efficiency and decision-making.
Effortless integration
Connect Salesforce & Postgres in about an hour
Automated sync
Set it once, sync runs on schedule
Reliable replication
Row-level parity you can validate
Continuous updates
Near Real time sync keeps data fresh as changes happen
FAQs
Get quick answers to your questions. Can't find what you need? Connect with our Salesforce experts for personalized assistance.
Salesforce–Heroku integration keeps data in sync between your Salesforce org and apps or databases running on Heroku - most commonly Heroku Postgres. DBSync replicates Salesforce objects into Heroku Postgres and back, so both systems stay current without manual exports or rekeying.
Yes. DBSync provides the same Salesforce ⇄ Heroku Postgres sync pattern as Heroku Connect - bi-directional and near-real-time - on an actively engineered platform. It can also replicate to targets beyond Heroku Postgres, such as Snowflake, SQL Server, and MySQL.
Point DBSync at any Heroku Postgres instance using its connection details (host, port, database, user, and password from your Heroku config vars), whether you're testing from a local machine, using the Heroku CLI, or running in production. No separate Connect add-on is required.
Yes. DBSync inventories your existing Heroku Connect object and field mappings and rebuilds them as a replication profile, so your Heroku Postgres tables stay populated exactly as before - with the option to add objects Connect didn't support.
Almost all standard and custom Salesforce objects, including custom junction objects and high-volume Big Objects that Heroku Connect handles poorly or not at all.
No. Your app hosting decision stays independent. DBSync runs the Salesforce–Heroku Postgres sync alongside your existing setup and keeps syncing wherever your app eventually lives.
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- Free assessment of your current Heroku Connect setup
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