Two-way sync
Changes in Amazon Aurora or Notion instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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.
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 Amazon Aurora.
Stacksync mirrors Comments, Files and attachments, Pages, Databases / Data sources from Notion into Databases, Schemas, Tables, Views in Amazon Aurora 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.
Records from Notion are ordinary rows in Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Amazon Aurora and Stacksync propagates the change into Notion, replacing custom integration code.
Updates in Notion arrive as row changes in Amazon Aurora, so triggers, jobs, and services can respond in near real time.
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.
| Amazon Aurora objects | Notion objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Properties Typed columns on a page — title, rich_text, number, select, multi_select, date, people, relation, status, checkbox, URL. Read and written both ways. | Materialized Views is specific to Amazon Aurora and Properties to Notion — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Blocks The page body — paragraphs, headings, to-dos, tables — nested as children and fetched recursively, separate from a page's properties. | Columns and Data Types is specific to Amazon Aurora and Blocks to Notion — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Formula and Rollup properties Values computed by Notion from other fields; read-only, so they are pulled out for reporting but never written back. | Primary and Foreign Keys is specific to Amazon Aurora and Formula and Rollup properties to Notion — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Users Workspace members and bots referenced by people properties; read-only — users cannot be created or invited through the API. | Read Replicas is specific to Amazon Aurora and Users to Notion — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | Comments Page and inline discussion threads; can be read and created, useful for surfacing Notion activity in another system. | Databases is specific to Amazon Aurora and Comments to Notion — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | 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. | Schemas is specific to Amazon Aurora and Files and attachments to Notion — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is written to Notion through its API, with automatic retries and rate-limit backoff.
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 Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Notion connection.
Changes in Amazon Aurora or Notion instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Notion data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Notion record.
Track your Amazon Aurora ⇄ Notion sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Notion.
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.
Authenticate Amazon Aurora 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.
Pick the Amazon Aurora 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon Aurora and Notion: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Materialized Views and Columns and Data Types), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Notion side: Comments, Files and attachments, Pages, Databases / Data sources, plus custom fields where Notion exposes them. On the Amazon Aurora side: Databases, Schemas, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Amazon Aurora and Notion: Read Notion with a query; Automate Notion from your codebase; React to changes as they happen. Records from Notion are ordinary rows in Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. Notion: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Notion: The 2025-09-03 API version splits databases (containers) from data sources (tables); queries and syncs target a data_source_id, and one database can hold multiple data sources. Amazon Aurora: Aurora separates compute from a shared distributed storage layer that keeps six copies of data across three Availability Zones. Stacksync's field mapping accounts for these differences between Amazon Aurora and Notion without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 439 integrations available for Amazon Aurora and Notion.