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Database ⇄ Business productivity

DuckDB to Monday integration — real-time, two-way sync

Keep DuckDB 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect DuckDB and Monday

Mirror Monday's data into DuckDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.

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 DuckDB.

Stacksync mirrors Workspaces, Boards, Items, Subitems from Monday into Tables, Views, External files (Parquet/CSV/JSON), Attached databases in DuckDB 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.

Common use cases

  • 01 Write closed deals or provisioning records from a CRM or ERP into monday.com Items to kick off delivery and onboarding boards.
  • 02 Mirror monday.com Boards, Groups, and Subitems into a warehouse for cross-project reporting on status and timelines without CSV exports.
  • 03 Push aggregates computed in DuckDB out to a CRM or business tools so analysis results reach operational systems.
  • 04 Use DuckDB as a transform step: read synced Parquet exports, aggregate with SQL, and write results back to an operational database.

Common sync patterns

Read Monday with a query

Records from Monday are ordinary rows in DuckDB; join them, index them, and use them in application logic without touching the vendor API.

Automate Monday from your codebase

Write to the synced tables in DuckDB and Stacksync propagates the change into Monday, replacing custom integration code.

React to changes as they happen

Updates in Monday arrive as row changes in DuckDB, so triggers, jobs, and services can respond in near real time.

What you can sync between DuckDB and Monday

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.

DuckDB objects Monday objects How this pairing syncs
Tables Columnar tables created via SQL; the destination for materialized sync data. 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 DuckDB and Boards to Monday — each maps to any object or custom field on the other side.
Views SQL views used to shape or filter data for downstream consumers. Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. Views is specific to DuckDB and Items to Monday — each maps to any object or custom field on the other side.
External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. External files (Parquet/CSV/JSON) is specific to DuckDB and Subitems to Monday — each maps to any object or custom field on the other side.
Attached databases Additional database files or external systems attached into one session for cross-source queries. Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. Attached databases is specific to DuckDB and Column values to Monday — each maps to any object or custom field on the other side.
Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. Database files is specific to DuckDB and Groups to Monday — each maps to any object or custom field on the other side.
Schemas Namespaces within a database used to organize tables in sync outputs. Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. Schemas is specific to DuckDB and Updates to Monday — each maps to any object or custom field on the other side.

How changes propagate between DuckDB and Monday

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.

DuckDB Monday Interval-based propagation

DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.

DeliveryEach detected change is written to Monday through its API, with automatic retries and rate-limit backoff.

Monday DuckDB Sub-second propagation

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 DuckDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • DuckDB: No API rate limits; throughput is bounded by local compute and I/O.
  • Monday: Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window.
What ships with DuckDB ⇄ Monday

Connect DuckDB and Monday for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Monday connection.

Real-time

Two-way sync

Changes in DuckDB or Monday instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever DuckDB or Monday data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single DuckDB or Monday record.

Observability

Monitoring

Track your DuckDB ⇄ Monday sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between DuckDB and Monday.

How the DuckDB and Monday connectors work

DuckDB

Integration surface
In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default
Authentication
None built in; access control is file-system level (MotherDuck adds token auth for its hosted service)
Change detection
Polling or full re-reads; no change feed or transaction log API
Capabilities
read · write
Rate limits
No API rate limits; throughput is bounded by local compute and I/O

Monday

Integration surface
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
Change detection
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
Capabilities
read · write · webhooks
Rate limits
Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window
Monday setup guide
How it works

How to connect DuckDB to Monday — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate DuckDB 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    DuckDB connected
    Monday connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the DuckDB 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · DuckDB ⇄ Monday
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    DuckDB Monday
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

DuckDB and Monday integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 453 integrations available for DuckDB and Monday.

Popular · 7 of 453
All DuckDB integrations All Monday integrations Browse all integrations
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