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

Keep Monday 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

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

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Why teams connect Monday and Postgres Heroku

Mirror Monday's data into Postgres Heroku so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Monday through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Postgres Heroku.

Stacksync mirrors Groups, Updates, Users, Workspaces from Monday into JSONB Columns, Sequences, Follower Databases, Tables in Postgres Heroku and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Monday, so the tool and the database never disagree.

Common use cases

  • 01 Mirror monday.com Boards, Groups, and Subitems into a warehouse for cross-project reporting on status and timelines without CSV exports.
  • 02 Push support tickets or orders from an operational database into monday.com Items, then read status Column values back when work completes.
  • 03 Reflect billing and subscription records into the app database so product logic reads local rows
  • 04 Expose CRM objects as Postgres tables the Heroku application can query and join directly

Common sync patterns

React to changes as they happen

Updates in Monday arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Monday with a query

Records from Monday are ordinary rows in Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Monday 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.

Monday objects Postgres Heroku objects How this pairing syncs
Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. Schemas Namespaces that scope which tables a sync reads and writes. Workspaces is specific to Monday and Schemas to Postgres Heroku — each maps to any object or custom field on the other side.
Boards Table-like containers that hold items; each board maps to a synced table, and its columns define the field mapping. Primary and Unique Keys Match keys for idempotent upserts from connected systems. Boards is specific to Monday and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side.
Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Items is specific to Monday and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side.
Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. Sequences Generate surrogate keys for rows created by inbound syncs. Subitems is specific to Monday and Sequences to Postgres Heroku — each maps to any object or custom field on the other side.
Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Column values is specific to Monday and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side.
Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. Tables Standard Postgres tables; the primary two-way sync target for app data. Groups is specific to Monday and Tables to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Monday and Postgres Heroku

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Monday Postgres Heroku Sub-second propagation

DetectionMonday notifies Stacksync of record changes through webhook events. Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events.

DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.

Postgres Heroku Monday Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

DeliveryEach detected change is written to Monday through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Monday: Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Monday ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Monday 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 Monday or Postgres Heroku record.

Observability

Monitoring

Track your Monday ⇄ 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 Monday and Postgres Heroku.

How the Monday and Postgres Heroku connectors work

Monday

Integration surface
GraphQL API (single endpoint, api.monday.com/v2)
Authentication
OAuth 2.0 for installed apps, or a per-user personal API token (admin/member scope); a date-based API version is sent via request header
Change detection
Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events; polling falls back to the item updated_at field
Capabilities
read · write · webhooks
Rate limits
Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window
Monday 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 Monday 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.

  1. 01

    Connect your apps

    Authenticate Monday 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
    Monday connected
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Monday 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 · Monday ⇄ Postgres Heroku
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 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
    Monday Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Monday and Postgres Heroku integration FAQ

SECURITY

Security teams trust 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

Every pair below is a real-time, two-way sync. Search all 453 integrations available for Monday and Postgres Heroku.

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