Real-time
Two-way sync
Changes in Monday or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Monday to TimescaleDB integration — real-time, two-way sync
Keep Monday and TimescaleDB 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 Monday and TimescaleDB
Mirror Monday's data into TimescaleDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Monday through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in TimescaleDB.
Stacksync mirrors Workspaces, Boards, Items, Subitems from Monday into Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas in TimescaleDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Monday, so the tool and the database never disagree.
Common use cases
- 01 Mirror monday.com Boards, Groups, and Subitems into a warehouse for cross-project reporting on status and timelines without CSV exports.
- 02 Push support tickets or orders from an operational database into monday.com Items, then read status Column values back when work completes.
- 03 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
- 04 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
Common sync patterns
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read Monday with a query
Records from Monday are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
Automate Monday from your codebase
Write to the synced tables in TimescaleDB and Stacksync propagates the change into Monday, replacing custom integration code.
What you can sync between Monday and TimescaleDB
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 | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Column values is specific to Monday and Chunks to TimescaleDB — 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Groups is specific to Monday and Continuous Aggregates to TimescaleDB — 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. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Updates is specific to Monday and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. | Views Standard SQL views used to shape or filter data for consumers. | Users is specific to Monday and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Workspaces is specific to Monday and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Boards Table-like containers that hold items; each board maps to a synced table, and its columns define the field mapping. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Boards is specific to Monday and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Monday and TimescaleDB
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 TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Monday Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
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.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Monday ⇄ TimescaleDB
Connect Monday and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Monday–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Monday or TimescaleDB 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 TimescaleDB record.
Observability
Monitoring
Track your Monday ⇄ TimescaleDB 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 TimescaleDB.
How the Monday and TimescaleDB 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
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Monday to TimescaleDB — 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.
- 01
Connect your apps
Authenticate Monday and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Monday
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Monday and TimescaleDB 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.
objects · Monday ⇄ TimescaleDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Monday TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Monday and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Monday and TimescaleDB: authenticate both systems, choose the objects to sync (such as Monday's Column values and Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Monday and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection 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. On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Monday side: Workspaces, Boards, Items, Subitems, plus custom fields where Monday exposes them. On the TimescaleDB side: Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Monday and TimescaleDB: One integration pattern for the whole stack; Read Monday with a query; Automate Monday from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 434 integrations available for Monday and TimescaleDB.
Popular · 6 of 434
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Monday ⇄ Azure SQL Database -
Monday ⇄ Citus -
Monday ⇄ Couchbase -
Monday ⇄ DuckDB -
TimescaleDB ⇄ Google Sheets -
TimescaleDB ⇄ Klaviyo
No integrations match .
