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Data warehouse ⇄ Business productivity

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

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

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Why teams connect Dremio and Monday

Get the data locked inside Monday into Dremio 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 Subitems, Column values, Groups, Updates from Monday into tables in Dremio continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Dremio 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 Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
  • 04 Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.

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 Dremio sync back onto records in Monday, putting analysis where the work happens.

History that outlives the tool

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

What you can sync between Dremio 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.

Dremio objects Monday objects How this pairing syncs
Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. Physical datasets is specific to Dremio and Subitems to Monday — each maps to any object or custom field on the other side.
Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. Virtual datasets (views) is specific to Dremio and Column values to Monday — each maps to any object or custom field on the other side.
Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. Apache Iceberg tables is specific to Dremio and Groups to Monday — each maps to any object or custom field on the other side.
Spaces and folders Namespaces that organize virtual datasets and govern access. Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. Spaces and folders is specific to Dremio and Updates to Monday — each maps to any object or custom field on the other side.
Reflections Materialized accelerations that make repeated extraction queries cheaper. Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. Reflections is specific to Dremio and Users to Monday — each maps to any object or custom field on the other side.
Jobs Query execution records useful for monitoring sync workloads. Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. Jobs is specific to Dremio and Workspaces to Monday — each maps to any object or custom field on the other side.

How changes propagate between Dremio 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.

Dremio Monday Interval-based propagation

DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.

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

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

Rate-limit considerations

  • Dremio: Bounded by engine capacity and workload management rather than API rate limits.
  • 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 Dremio ⇄ Monday

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dremio 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 Dremio or Monday record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Dremio and Monday connectors work

Dremio

Integration surface
Arrow Flight SQL, JDBC/ODBC, and a REST API
Authentication
Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
Change detection
Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
Capabilities
read · write
Rate limits
Bounded by engine capacity and workload management rather than API rate limits

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

    Choose tables

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

Dremio 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 439 integrations available for Dremio and Monday.

Popular · 8 of 439
All Dremio integrations All Monday integrations Browse all integrations
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