Two-way sync
Changes in AWS Aurora MySQL or Notion instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL 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 AWS Aurora MySQL.
Stacksync mirrors Comments, Files and attachments, Pages, Databases / Data sources from Notion into Tables, Rows, Columns, Primary keys and indexes in AWS Aurora MySQL 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 AWS Aurora MySQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in AWS Aurora MySQL and Stacksync propagates the change into Notion, replacing custom integration code.
Updates in Notion arrive as row changes in AWS Aurora MySQL, 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.
| AWS Aurora MySQL objects | Notion objects | How this pairing syncs | |
|---|---|---|---|
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | 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 indexes is specific to AWS Aurora MySQL and Properties to Notion — each maps to any object or custom field on the other side. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Blocks The page body — paragraphs, headings, to-dos, tables — nested as children and fetched recursively, separate from a page's properties. | Views is specific to AWS Aurora MySQL and Blocks to Notion — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects 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 MySQL and Formula and Rollup properties to Notion — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Users Workspace members and bots referenced by people properties; read-only — users cannot be created or invited through the API. | Stored procedures and triggers is specific to AWS Aurora MySQL and Users to Notion — each maps to any object or custom field on the other side. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Comments Page and inline discussion threads; can be read and created, useful for surfacing Notion activity in another system. | Databases (schemas) is specific to AWS Aurora MySQL and Comments to Notion — each maps to any object or custom field on the other side. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | 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. | Tables is specific to AWS Aurora MySQL 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 AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
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 AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Notion connection.
Changes in AWS Aurora MySQL or Notion instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Notion record.
Track your AWS Aurora MySQL ⇄ Notion sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL 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 AWS Aurora MySQL and Notion: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Primary keys and indexes and Views), 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 AWS Aurora MySQL side: Tables, Rows, Columns, Primary keys and indexes. 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 AWS Aurora MySQL 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 AWS Aurora MySQL; join them, index them, and use them in application logic without touching the vendor API.
AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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: Formula and rollup property values are computed by Notion and are read-only; they cannot be written back. AWS Aurora MySQL: Aurora MySQL is wire-compatible with MySQL, so any standard MySQL driver, ORM, or CDC tooling works without modification. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL 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 455 integrations available for AWS Aurora MySQL and Notion.