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Data warehouse ⇄ Business productivity

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

Keep Materialize 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 Materialize and Monday

Get the data locked inside Monday into Materialize as live tables, and send results back where Monday can use them, without writing a pipeline.

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 Items, Subitems, Column values, Groups from Monday into tables in Materialize continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Materialize can also be written back into fields in Monday where the tool can use them.

Common use cases

  • 01 Mirror monday.com Boards, Groups, and Subitems into a warehouse for cross-project reporting on status and timelines without CSV exports.
  • 02 Push support tickets or orders from an operational database into monday.com Items, then read status Column values back when work completes.
  • 03 Read computed view results back into a CRM or application database as derived fields.
  • 04 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.

Common sync patterns

Cross-tool reporting

Combine Monday's data with data from every other synced system to answer questions no single tool can.

Where Monday accepts updates: operational write-back

Segments, scores, or reference values computed in Materialize sync back onto records in Monday, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Materialize preserves a queryable record even as data ages out of Monday or gets changed inside it.

What you can sync between Materialize 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.

Materialize objects Monday objects How this pairing syncs
Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. Tables is specific to Materialize and Groups to Monday — each maps to any object or custom field on the other side.
Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. Sources is specific to Materialize and Updates to Monday — each maps to any object or custom field on the other side.
Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. Materialized Views is specific to Materialize and Users to Monday — each maps to any object or custom field on the other side.
Sinks Outbound connections that emit view changes to Kafka topics. Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. Sinks is specific to Materialize and Workspaces to Monday — each maps to any object or custom field on the other side.
Indexes In-memory arrangements that make view reads fast for serving workloads. Boards Table-like containers that hold items; each board maps to a synced table, and its columns define the field mapping. Indexes is specific to Materialize and Boards to Monday — each maps to any object or custom field on the other side.
Clusters Compute pools that isolate ingestion, view maintenance, and serving. Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. Clusters is specific to Materialize and Items to Monday — each maps to any object or custom field on the other side.

How changes propagate between Materialize 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.

Materialize Monday Sub-second propagation

DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.

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

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

Rate-limit considerations

  • 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 Materialize ⇄ Monday

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Materialize 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 Materialize or Monday record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Materialize and Monday connectors work

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC

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

    Choose tables

    Pick the Materialize 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 · Materialize ⇄ 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
    Materialize Monday
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Materialize 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 442 integrations available for Materialize and Monday.

Popular · 6 of 442
All Materialize integrations All Monday integrations Browse all integrations
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