Skip to content
Data warehouse ⇄ Business productivity

Cloudera Data Platform to Monday integration — real-time, two-way sync

Keep Cloudera Data Platform 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Cloudera Data Platform and Monday

Get the data locked inside Monday into Cloudera Data Platform 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 Cloudera Data Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Cloudera Data Platform can also be written back into fields in Monday where the tool can use them.

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 Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
  • 04 Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.

Common sync patterns

Analytics on Monday's data

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

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 Cloudera Data Platform sync back onto records in Monday, putting analysis where the work happens.

What you can sync between Cloudera Data Platform 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.

Cloudera Data Platform objects Monday objects How this pairing syncs
Impala tables The same metastore tables served through Impala for lower-latency SQL reads. Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. Impala tables is specific to Cloudera Data Platform and Items to Monday — each maps to any object or custom field on the other side.
Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. Kudu tables is specific to Cloudera Data Platform and Subitems to Monday — each maps to any object or custom field on the other side.
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. Iceberg tables is specific to Cloudera Data Platform and Column values to Monday — each maps to any object or custom field on the other side.
Views SQL views that can present curated, sync-ready projections of raw lake data. Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. Views is specific to Cloudera Data Platform and Groups to Monday — each maps to any object or custom field on the other side.
Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. Partitions is specific to Cloudera Data Platform and Updates to Monday — each maps to any object or custom field on the other side.
Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. Object store / HDFS files is specific to Cloudera Data Platform and Users to Monday — each maps to any object or custom field on the other side.

How changes propagate between Cloudera Data Platform 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.

Cloudera Data Platform Monday Interval-based propagation

DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.

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

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

Rate-limit considerations

  • Cloudera Data Platform: Constrained by cluster capacity and admission control 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 Cloudera Data Platform ⇄ Monday

Connect Cloudera Data Platform and Monday for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Monday record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Monday.

How the Cloudera Data Platform and Monday connectors work

Cloudera Data Platform

Integration surface
JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
Authentication
Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control 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 Cloudera Data Platform 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 Cloudera Data Platform 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
    Cloudera Data Platform connected
    Monday connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Cloudera Data Platform 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 441 integrations available for Cloudera Data Platform and Monday.

Popular · 8 of 441
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.