Skip to content
Database ⇄ Business productivity

AWS Aurora PostgreSQL to Notion integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and Notion 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

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 AWS Aurora PostgreSQL and Notion

Mirror Notion's data into AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL.

Stacksync mirrors Formula and Rollup properties, Users, Comments, Files and attachments from Notion into Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas in AWS Aurora PostgreSQL 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 Sync a Notion content-calendar database with Jira or Linear by mapping status and date properties both directions.
  • 02 Read Notion wiki Pages and their Blocks into a database or search index for internal knowledge retrieval.
  • 03 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • 04 Feed operational dashboards from a read replica while the writer handles sync traffic.

Common sync patterns

React to changes as they happen

Updates in Notion arrive as row changes in AWS Aurora PostgreSQL, 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 Notion with a query

Records from Notion are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between AWS Aurora PostgreSQL and Notion

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.

AWS Aurora PostgreSQL objects Notion objects How this pairing syncs
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Databases / Data sources Collections of pages with a typed property schema. Since the 2025-09-03 API a database is a container holding one or more data sources; syncs target a specific data_source_id. Columns is specific to AWS Aurora PostgreSQL and Databases / Data sources to Notion — each maps to any object or custom field on the other side.
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Properties Typed columns on a page — title, rich_text, number, select, multi_select, date, people, relation, status, checkbox, URL. Read and written both ways. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Properties to Notion — each maps to any object or custom field on the other side.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Blocks The page body — paragraphs, headings, to-dos, tables — nested as children and fetched recursively, separate from a page's properties. Views and materialized views is specific to AWS Aurora PostgreSQL and Blocks to Notion — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Formula and Rollup properties Values computed by Notion from other fields; read-only, so they are pulled out for reporting but never written back. Foreign keys is specific to AWS Aurora PostgreSQL and Formula and Rollup properties to Notion — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Users Workspace members and bots referenced by people properties; read-only — users cannot be created or invited through the API. Replication slots and publications is specific to AWS Aurora PostgreSQL and Users to Notion — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Comments Page and inline discussion threads; can be read and created, useful for surfacing Notion activity in another system. Databases and schemas is specific to AWS Aurora PostgreSQL and Comments to Notion — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Notion

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.

AWS Aurora PostgreSQL Notion Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

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

Notion AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.

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.
What ships with AWS Aurora PostgreSQL ⇄ Notion

Connect AWS Aurora PostgreSQL and Notion for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Notion connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Notion instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Notion 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 AWS Aurora PostgreSQL or Notion record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Notion sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Notion.

How the AWS Aurora PostgreSQL and Notion connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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.
How it works

How to connect AWS Aurora PostgreSQL to Notion — 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 AWS Aurora PostgreSQL and Notion 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
    AWS Aurora PostgreSQL connected
    Notion connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Notion 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 · AWS Aurora PostgreSQL ⇄ Notion
    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
    AWS Aurora PostgreSQL Notion
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

AWS Aurora PostgreSQL and Notion 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 457 integrations available for AWS Aurora PostgreSQL and Notion.

Popular · 7 of 457
All AWS Aurora PostgreSQL integrations All Notion integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own