Can you integrate MotherDuck with Postgres Heroku?

Yes. Stacksync provides a managed, real-time two-way integration between MotherDuck and Postgres Heroku: authenticate both systems, choose the objects to sync (such as MotherDuck's Attached Local DuckDB Databases and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.

How do teams use the MotherDuck and Postgres Heroku integration?

Common patterns for MotherDuck and Postgres Heroku: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in MotherDuck and keep Postgres Heroku focused on its operational workload.

What should I know about the two APIs?

MotherDuck: SQL through DuckDB clients and drivers using a MotherDuck (md:) connection. Authentication: Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.

What makes MotherDuck's data model different?

MotherDuck: Databases can be shared with other users as read-only shares, separating producers from consumers. Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Stacksync's field mapping accounts for these differences between MotherDuck and Postgres Heroku without custom code.

Is the MotherDuck–Postgres Heroku integration secure?

Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means MotherDuck and Postgres Heroku records are not retained after a sync operation.

How much does a MotherDuck and Postgres Heroku integration cost?

Stacksync pricing is usage-based and starts at $1,000/month, including the managed MotherDuck and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MotherDuck–Postgres Heroku integration in-house.

Data warehouse ⇄ Database

MotherDuck to Postgres Heroku integration — real-time, two-way sync

Keep MotherDuck and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

SOC 2 and 6 other compliance frameworks
POC with real engineers in minutes

Live sync

stacksync.com

MotherDuck

Postgres Heroku

<1s: latency
2-way: sync
100M+: records

Adopted by fast-scaling companies moving mission-critical data in real time

Case study

Migrated from Mulesoft

Case study

Migrated from Celigo

Migrated from Heroku Connect

Migrated from Matillion

Case study

Migrated from Fivetran

Case study

Migrated from Celigo

Why teams connect MotherDuck and Postgres Heroku

Connect Postgres Heroku and MotherDuck with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want Postgres Heroku's rows in MotherDuck, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Postgres Heroku where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in Postgres Heroku sync into MotherDuck in real time, and result tables in MotherDuck sync back into Postgres Heroku, with schema and type mapping between the two systems handled for you.

Common use cases

Land CRM and operational database records in MotherDuck so a small team gets warehouse-style analytics without cluster management
Sync modeled MotherDuck tables outward to operational tools for activation
Keep several Heroku app databases aligned with one system of record
Reflect billing and subscription records into the app database so product logic reads local rows

Offload heavy reads

Point analytical queries at the synced copy in MotherDuck and keep Postgres Heroku focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from Postgres Heroku land in MotherDuck as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in MotherDuck sync into Postgres Heroku, where whatever reads from that database gets them without querying the warehouse.

What you can sync between MotherDuck and Postgres Heroku

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

MotherDuck objects		Postgres Heroku objects
Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries.	⇄	Views Read-side projections exposed to outbound syncs.
Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes.	⇄	Materialized Views Precomputed result sets synced outward on refresh.
Schemas Namespaces within a database used to organize synced tables.	⇄	Schemas Namespaces that scope which tables a sync reads and writes.
Tables The main landing target for synced records and source for analysis.	⇄	Primary and Unique Keys Match keys for idempotent upserts from connected systems.
Views Modeled projections used as outbound sync sources.	⇄	JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
Database Shares Read-only copies of a database shared with other users or teams.	⇄	Sequences Generate surrogate keys for rows created by inbound syncs.

What ships with MotherDuck ⇄ Postgres Heroku

Connect MotherDuck and Postgres Heroku for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MotherDuck–Postgres Heroku connection.

Real-time

Two-way sync

Changes in MotherDuck or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MotherDuck or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single MotherDuck or Postgres Heroku record.

Observability

Monitoring

Track your MotherDuck ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between MotherDuck and Postgres Heroku.

How the MotherDuck and Postgres Heroku connectors work

MotherDuck

Integration surface: SQL through DuckDB clients and drivers using a MotherDuck (md:) connection
Authentication: Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults
Change detection: Polling; no log-based CDC or webhook surface is exposed
Capabilities: read · write
Rate limits: Subject to the platform's compute and concurrency limits rather than per-request API rate limits

MotherDuck setup guide

Postgres Heroku

Integration surface: SQL wire protocol (standard PostgreSQL)
Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities: read · write
Rate limits: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan

How it works

How to connect MotherDuck to Postgres Heroku — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

01
Connect your apps

Authenticate MotherDuck and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
- OAuth 2.0
- SSH tunnel
- VPC peering
MotherDuck connected
Postgres Heroku connected

OAuth 2.0
SSH tunnel
SSL certificate
VPC peering
02
Choose tables

Pick the MotherDuck and Postgres Heroku objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
- Standard objects
- Custom objects
- Auto-schema
objects · MotherDuck ⇄ Postgres Heroku

Customers 12,480
Sales Orders 8,213
Invoices 5,902
Items 1,344
03
Map fields

Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
- Auto-map
- Type casting
- Transforms
MotherDuck Postgres Heroku

Company company_name text
Email email text
Amount amount numeric
Created created_at timestamp

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FAQ

MotherDuck and Postgres Heroku integration FAQ

SECURITY

Security teams love Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security

SOC 2 type II

ISO 27001

HIPAA BAA

GDPR

CCPA

CSA STAR

DPF US-EU-UK-CH

→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

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MotherDuck to Postgres Heroku integration — real-time, two-way sync

Adopted by fast-scaling companies moving mission-critical data in real time