Two-way sync
Changes in Monday or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Monday and SQL Server 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 SQL Server.
Stacksync mirrors Users, Workspaces, Boards, Items from Monday into Schemas, Tables, Views, Columns in SQL Server 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.
Records from Monday are ordinary rows in SQL Server; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in SQL Server and Stacksync propagates the change into Monday, replacing custom integration code.
Updates in Monday arrive as row changes in SQL Server, 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.
| Monday objects | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Subitems is specific to Monday and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. | Tables The primary sync target; rows map to records in connected systems. | Column values is specific to Monday and Tables to SQL Server — each maps to any object or custom field on the other side. | |
| Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. | Views Read-side projections used as outbound sync sources. | Groups is specific to Monday and Views to SQL Server — each maps to any object or custom field on the other side. | |
| Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. | Columns Field-level mapping targets with T-SQL types. | Updates is specific to Monday and Columns to SQL Server — each maps to any object or custom field on the other side. | |
| Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Users is specific to Monday and Primary and Unique Keys to SQL Server — each maps to any object or custom field on the other side. | |
| Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Workspaces is specific to Monday and CDC Change Tables to SQL Server — 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.
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 SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is written to Monday through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Monday–SQL Server connection.
Changes in Monday or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Monday or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Monday or SQL Server record.
Track your Monday ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Monday and SQL Server.
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 Monday and SQL Server 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 Monday and SQL Server 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 Monday and SQL Server: authenticate both systems, choose the objects to sync (such as Monday's Subitems and Column values), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Monday and SQL Server: Read Monday with a query; Automate Monday from your codebase; React to changes as they happen. Records from Monday are ordinary rows in SQL Server; join them, index them, and use them in application logic without touching the vendor API.
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. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
Monday: Webhooks are created per board and per event type, so a sync covering many boards must register and maintain a webhook on each one. SQL Server: Composite primary keys are not supported (single-column, auto-generated PK required). Stacksync's field mapping accounts for these differences between Monday and SQL Server without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Monday and SQL Server records are not retained after a sync operation.
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 544 integrations available for Monday and SQL Server.