Two-way sync
Changes in Google Cloud SQL or Monday instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud SQL 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 Google Cloud SQL.
Stacksync mirrors Boards, Items, Subitems, Column values from Monday into Tables, Rows, Views, Transaction logs in Google Cloud SQL 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 Google Cloud SQL and Stacksync propagates the change into Monday, replacing custom integration code.
Updates in Monday arrive as row changes in Google Cloud SQL, 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.
| Google Cloud SQL objects | Monday objects | How this pairing syncs | |
|---|---|---|---|
| Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. | Instances is specific to Google Cloud SQL and Updates to Monday — each maps to any object or custom field on the other side. | |
| Databases Scope the tables included in a sync configuration. | Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. | Databases is specific to Google Cloud SQL and Users to Monday — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables in PostgreSQL and SQL Server instances. | Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. | Schemas is specific to Google Cloud SQL and Workspaces to Monday — each maps to any object or custom field on the other side. | |
| Tables Mapped directly to sync targets; schema changes can be propagated. | Boards Table-like containers that hold items; each board maps to a synced table, and its columns define the field mapping. | Tables is specific to Google Cloud SQL and Boards to Monday — each maps to any object or custom field on the other side. | |
| Rows Read and written by primary key during each sync cycle. | Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. | Rows is specific to Google Cloud SQL and Items to Monday — each maps to any object or custom field on the other side. | |
| Views Read-only sources for shaping data before syncing it out. | Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. | Views is specific to Google Cloud SQL and Subitems 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 Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.
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 Google Cloud SQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud SQL–Monday connection.
Changes in Google Cloud SQL or Monday instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud SQL 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 Google Cloud SQL or Monday record.
Track your Google Cloud SQL ⇄ Monday sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL 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 Google Cloud SQL and Monday: authenticate both systems, choose the objects to sync (such as Google Cloud SQL's Instances and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud SQL and Monday connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud SQL–Monday integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud SQL and Monday. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud SQL: Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback. On Monday: Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events; polling falls back to the item updated_at field. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Monday side: Boards, Items, Subitems, Column values, plus custom fields where Monday exposes them. On the Google Cloud SQL side: Tables, Rows, Views, Transaction logs. 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.
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 440 integrations available for Google Cloud SQL and Monday.