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Business productivity ⇄ Data warehouse

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

Keep Monday and Rockset 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 Monday and Rockset

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

Common use cases

  • 01 Push support tickets or orders from an operational database into monday.com Items, then read status Column values back when work completes.
  • 02 Sync Updates and status changes from monday.com into a database so downstream tools and dashboards react to project progress in near real time.
  • 03 Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.
  • 04 Read query results back into an operational database to expose computed metrics to applications.

Common sync patterns

History that outlives the tool

A continuously synced copy in Rockset 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 Rockset 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.

What you can sync between Monday and Rockset

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.

Monday objects Rockset objects How this pairing syncs
Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. Workspaces Namespaces that group collections and query lambdas per team or environment. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. Documents JSON records addressable by _id, written via the Write API in sync pipelines. Items is specific to Monday and Documents to Rockset — each maps to any object or custom field on the other side.
Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. Subitems is specific to Monday and Query Lambdas to Rockset — each maps to any object or custom field on the other side.
Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. Aliases Stable names that point at collections, used to swap datasets without changing queries. Column values is specific to Monday and Aliases to Rockset — each maps to any object or custom field on the other side.
Groups Named sections that group items inside a board; synced as a grouping attribute or category field on the row. Integrations Managed source connections (databases, streams, object storage) feeding collections. Groups is specific to Monday and Integrations to Rockset — each maps to any object or custom field on the other side.
Updates Comment and activity threads attached to items; read out into a database for reporting or written back as notes. Virtual Instances Isolated compute units that separate ingest from query workloads. Updates is specific to Monday and Virtual Instances to Rockset — each maps to any object or custom field on the other side.

How changes propagate between Monday and Rockset

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.

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

Rockset Monday Interval-based propagation

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

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

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 Monday ⇄ Rockset

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Monday or Rockset 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 Monday or Rockset record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Monday and Rockset connectors work

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

Rockset

Integration surface
REST API (SQL over HTTP, plus a document Write API)
Authentication
API key
Change detection
Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
Capabilities
read · write
How it works

How to connect Monday to Rockset — 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 Monday and Rockset 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
    Monday connected
    Rockset connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Monday and Rockset 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 507 integrations available for Monday and Rockset.

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