Two-way sync
Changes in Azure Synapse Analytics or Monday instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics 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.
Whatever Monday is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Users, Workspaces, Boards, Items from Monday into tables in Azure Synapse Analytics continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Azure Synapse Analytics can also be written back into fields in Monday where the tool can use them.
Records and events from Monday land in Azure Synapse Analytics as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Monday's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Azure Synapse Analytics sync back onto records in Monday, putting analysis where the work happens.
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.
| Azure Synapse Analytics objects | Monday objects | How this pairing syncs | |
|---|---|---|---|
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Boards Table-like containers that hold items; each board maps to a synced table, and its columns define the field mapping. | Tables (dedicated SQL pool) is specific to Azure Synapse Analytics and Boards to Monday — each maps to any object or custom field on the other side. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. | External tables is specific to Azure Synapse Analytics and Items to Monday — each maps to any object or custom field on the other side. | |
| Views Curated projections used when downstream tools should not read base tables directly. | 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 Azure Synapse Analytics and Subitems to Monday — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. | Schemas is specific to Azure Synapse Analytics and Column values to Monday — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. | Materialized views is specific to Azure Synapse Analytics and Groups to Monday — each maps to any object or custom field on the other side. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. | SQL pools is specific to Azure Synapse Analytics and Updates 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.
DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.
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 Azure Synapse Analytics as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Monday connection.
Changes in Azure Synapse Analytics or Monday instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics 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 Azure Synapse Analytics or Monday record.
Track your Azure Synapse Analytics ⇄ Monday sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics and Monday: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Tables (dedicated SQL pool) and External tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Monday side: Users, Workspaces, Boards, Items, plus custom fields where Monday exposes them. On the Azure Synapse Analytics side: Tables (dedicated SQL pool), External tables, Views, Schemas. 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 Azure Synapse Analytics and Monday: Analytics on Monday's data; Cross-tool reporting; Where Monday accepts updates: operational write-back. Records and events from Monday land in Azure Synapse Analytics as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Azure Synapse Analytics: SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint. Authentication: SQL authentication or Microsoft Entra ID. 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: The API is GraphQL-only; item queries use cursor-based items_page pagination capped at 500 items per page, so large boards are read with a cursor. Azure Synapse Analytics: Dedicated SQL pool tables are distributed across compute nodes using hash, round-robin, or replicated strategies, and the choice affects load and query performance for synced tables. Stacksync's field mapping accounts for these differences between Azure Synapse Analytics 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 546 integrations available for Azure Synapse Analytics and Monday.