Two-way sync
Changes in Cloudera Data Platform or Monday instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
Combine Monday's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Cloudera Data Platform sync back onto records in Monday, putting analysis where the work happens.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Monday connection.
Changes in Cloudera Data Platform or Monday instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Monday data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or Monday record.
Track your Cloudera Data Platform ⇄ Monday sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Monday.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Cloudera Data Platform and Monday: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Impala tables and Kudu tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Monday: Webhooks are created per board and per event type, so a sync covering many boards must register and maintain a webhook on each one. Cloudera Data Platform: Tables can live in multiple storage engines with different update semantics: Kudu and Iceberg tables support row-level updates, while classic Hive tables are append-oriented. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Monday without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Cloudera Data Platform and Monday records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and Monday connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–Monday integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Monday. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On Monday: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 441 integrations available for Cloudera Data Platform and Monday.