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Data warehouse ⇄ Business productivity

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

Keep ClickHouse 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.

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

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Why teams connect ClickHouse and Monday

Get the data locked inside Monday into ClickHouse 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 Groups, Updates, Users, Workspaces from Monday into tables in ClickHouse continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in ClickHouse can also be written back into fields in Monday where the tool can use them.

Common use cases

  • 01 Sync Updates and status changes from monday.com into a database so downstream tools and dashboards react to project progress in near real time.
  • 02 Two-way sync of Items and their Column values between a monday.com board and Postgres so ops teams work in SQL while project owners stay in monday.com.
  • 03 Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • 04 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.

Common sync patterns

Where Monday accepts updates: operational write-back

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

History that outlives the tool

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

Analytics on Monday's data

Records and events from Monday land in ClickHouse as queryable tables, current within seconds and ready to join with the rest of the warehouse.

What you can sync between ClickHouse 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.

ClickHouse objects Monday objects How this pairing syncs
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. Dictionaries is specific to ClickHouse and Items to Monday — each maps to any object or custom field on the other side.
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. Tables (MergeTree family) is specific to ClickHouse and Subitems to Monday — each maps to any object or custom field on the other side.
Databases Namespaces that group tables and scope permissions for sync users. Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. Databases is specific to ClickHouse and Column values to Monday — each maps to any object or custom field on the other side.
Views Saved queries used as curated, read-only sync sources. Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. Views is specific to ClickHouse and Groups to Monday — each maps to any object or custom field on the other side.
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. Materialized views is specific to ClickHouse and Updates to Monday — each maps to any object or custom field on the other side.
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. Distributed tables is specific to ClickHouse and Users to Monday — each maps to any object or custom field on the other side.

How changes propagate between ClickHouse 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.

ClickHouse Monday Interval-based propagation

DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.

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

Monday ClickHouse 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 ClickHouse 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 ClickHouse ⇄ Monday

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse 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 ClickHouse or Monday record.

Observability

Monitoring

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

Trading partners

EDI

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

How the ClickHouse and Monday connectors work

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write

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

    Choose tables

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

ClickHouse 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
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→ 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 545 integrations available for ClickHouse and Monday.

Popular · 8 of 545
All ClickHouse integrations All Monday integrations Browse all integrations
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