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

Keep Notion 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.

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Why teams connect Notion and Postgres Heroku

Mirror Notion'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 Notion 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 Blocks, Formula and Rollup properties, Users, Comments from Notion into Schemas, Primary and Unique Keys, JSONB Columns, Sequences 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 Notion, so the tool and the database never disagree.

Common use cases

  • 01 Push rows from a warehouse or another database into a Notion data source as Pages so ops and leadership read live metrics in a familiar Notion view.
  • 02 Sync a Notion content-calendar database with Jira or Linear by mapping status and date properties both directions.
  • 03 Keep several Heroku app databases aligned with one system of record
  • 04 Reflect billing and subscription records into the app database so product logic reads local rows

Common sync patterns

Automate Notion from your codebase

Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Notion, replacing custom integration code.

React to changes as they happen

Updates in Notion 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.

What you can sync between Notion 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.

Notion objects Postgres Heroku objects How this pairing syncs
Properties Typed columns on a page — title, rich_text, number, select, multi_select, date, people, relation, status, checkbox, URL. Read and written both ways. Views Read-side projections exposed to outbound syncs. Properties is specific to Notion and Views to Postgres Heroku — each maps to any object or custom field on the other side.
Blocks The page body — paragraphs, headings, to-dos, tables — nested as children and fetched recursively, separate from a page's properties. Materialized Views Precomputed result sets synced outward on refresh. Blocks is specific to Notion and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side.
Formula and Rollup properties Values computed by Notion from other fields; read-only, so they are pulled out for reporting but never written back. Schemas Namespaces that scope which tables a sync reads and writes. Formula and Rollup properties is specific to Notion and Schemas to Postgres Heroku — each maps to any object or custom field on the other side.
Users Workspace members and bots referenced by people properties; read-only — users cannot be created or invited through the API. Primary and Unique Keys Match keys for idempotent upserts from connected systems. Users is specific to Notion and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side.
Comments Page and inline discussion threads; can be read and created, useful for surfacing Notion activity in another system. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Comments is specific to Notion and JSONB Columns to Postgres Heroku — each maps to any object or custom field on the other side.
Files and attachments File-property and file-block values. Notion-hosted URLs are temporary and expire, so files are re-fetched or copied at sync time. Sequences Generate surrogate keys for rows created by inbound syncs. Files and attachments is specific to Notion and Sequences to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Notion 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.

Notion Postgres Heroku Sub-second propagation

DetectionNotion notifies Stacksync of record changes through webhook events. Workspace webhooks (page.created, page.content_updated, data_source.schema_updated, comment.created.

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

Postgres Heroku Notion 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 Notion through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Notion: Average of ~3 requests/second per integration with some bursts; 429 with a Retry-After header when exceeded. Payloads capped at 500 KB and 1000 block elements.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Notion ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Notion 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 Notion or Postgres Heroku record.

Observability

Monitoring

Track your Notion ⇄ 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 Notion and Postgres Heroku.

How the Notion and Postgres Heroku connectors work

Notion

Integration surface
REST API (api.notion.com/v1)
Authentication
OAuth 2.0 for public integrations, or an internal integration secret (bearer token); every request must send a Notion-Version header
Change detection
Workspace webhooks (page.created, page.content_updated, data_source.schema_updated, comment.created; HMAC-SHA256 signed) plus polling on each page's last_edited_time
Capabilities
read · write · webhooks
Rate limits
Average of ~3 requests/second per integration with some bursts; 429 with a Retry-After header when exceeded. Payloads capped at 500 KB and 1000 block elements.

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

    Choose tables

    Pick the Notion 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 · Notion ⇄ 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
    Notion Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Notion 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
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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 Notion and Postgres Heroku.

Popular · 7 of 453
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