Two-way sync
Changes in Amazon Aurora or Monday instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora and Monday 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 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 Amazon Aurora.
Stacksync mirrors Workspaces, Boards, Items, Subitems from Monday into Tables, Views, Materialized Views, Columns and Data Types 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 Monday, so the tool and the database never disagree.
Write to the synced tables in Amazon Aurora and Stacksync propagates the change into Monday, replacing custom integration code.
Updates in Monday arrive as row changes in Amazon Aurora, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 | Monday objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. | Materialized Views is specific to Amazon Aurora and Subitems to Monday — 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. | Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. | Columns and Data Types is specific to Amazon Aurora and Column values to Monday — 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. | Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. | Primary and Foreign Keys is specific to Amazon Aurora and Groups to Monday — 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. | Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. | Read Replicas is specific to Amazon Aurora and Updates to Monday — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. | Databases is specific to Amazon Aurora and Users to Monday — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. | Schemas is specific to Amazon Aurora and Workspaces to Monday — 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 Monday through its API, with automatic retries and rate-limit backoff.
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 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–Monday connection.
Changes in Amazon Aurora or Monday instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Monday 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 Monday record.
Track your Amazon Aurora ⇄ Monday sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Monday.
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 Monday 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 Monday 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 Monday: 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 Monday side: Workspaces, Boards, Items, Subitems, plus custom fields where Monday exposes them. On the Amazon Aurora side: Tables, Views, Materialized Views, Columns and Data Types. 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 Monday: Automate Monday from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Amazon Aurora and Stacksync propagates the change into Monday, replacing custom integration code.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. Monday: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Monday: Rate limiting is complexity-based, not request-count based: each query has a complexity cost capped at 5M per call and ~10M per minute per user token (1M on trial/free). Amazon Aurora: Change data capture uses the native engine mechanisms: MySQL binary log on Aurora MySQL and logical replication on Aurora PostgreSQL. Stacksync's field mapping accounts for these differences between Amazon Aurora and Monday 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 Monday.