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Database ⇄ Business productivity

Citus to Notion integration — real-time, two-way sync

Keep Citus and Notion 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 Citus and Notion

Mirror Notion's data into Citus 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 Notion 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 Citus.

Stacksync mirrors Databases / Data sources, Properties, Blocks, Formula and Rollup properties from Notion into Views, Sequences, Distributed tables, Reference tables in Citus 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 Notion, so the tool and the database never disagree.

Common use cases

  • 01 Two-way sync a Notion projects or tasks data source with a Postgres table so engineers work in SQL while the team edits Pages in Notion, mapping status, date, and assignee properties both ways.
  • 02 Push rows from a warehouse or another database into a Notion data source as Pages so ops and leadership read live metrics in a familiar Notion view.
  • 03 Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.
  • 04 Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.

Common sync patterns

Automate Notion from your codebase

Write to the synced tables in Citus and Stacksync propagates the change into Notion, replacing custom integration code.

React to changes as they happen

Updates in Notion arrive as row changes in Citus, so triggers, jobs, and services can respond in near real time.

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.

What you can sync between Citus and Notion

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.

Citus objects Notion objects How this pairing syncs
Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. Users Workspace members and bots referenced by people properties; read-only — users cannot be created or invited through the API. Local tables is specific to Citus and Users to Notion — each maps to any object or custom field on the other side.
Schemas Standard Postgres namespaces used to scope what a sync user can read and write. Comments Page and inline discussion threads; can be read and created, useful for surfacing Notion activity in another system. Schemas is specific to Citus and Comments to Notion — each maps to any object or custom field on the other side.
Views Curated projections over distributed data, often used as read-only sync sources. Files and attachments File-property and file-block values. Notion-hosted URLs are temporary and expire, so files are re-fetched or copied at sync time. Views is specific to Citus and Files and attachments to Notion — each maps to any object or custom field on the other side.
Sequences Key generators that matter when external writes must not collide with application inserts. Pages The core content unit and also every row of a database; synced two-way as records, with typed properties mapping to table columns. Sequences is specific to Citus and Pages to Notion — each maps to any object or custom field on the other side.
Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. Databases / Data sources Collections of pages with a typed property schema. Since the 2025-09-03 API a database is a container holding one or more data sources; syncs target a specific data_source_id. Distributed tables is specific to Citus and Databases / Data sources to Notion — each maps to any object or custom field on the other side.
Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. Properties Typed columns on a page — title, rich_text, number, select, multi_select, date, people, relation, status, checkbox, URL. Read and written both ways. Reference tables is specific to Citus and Properties to Notion — each maps to any object or custom field on the other side.

How changes propagate between Citus and Notion

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.

Citus Notion Sub-second propagation

DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.

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

Notion Citus Sub-second propagation

DetectionNotion notifies Stacksync of record changes through webhook events. Workspace webhooks (page.created, page.content_updated, data_source.schema_updated, comment.created.

DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Notion: Average of ~3 requests/second per integration with some bursts; 429 with a Retry-After header when exceeded. Payloads capped at 500 KB and 1000 block elements.
What ships with Citus ⇄ Notion

Connect Citus and Notion for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Citus or Notion instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Citus or Notion 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 Citus or Notion record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Citus and Notion.

How the Citus and Notion connectors work

Citus

Integration surface
PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
Authentication
Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
Change detection
PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
Capabilities
read · write · CDC

Notion

Integration surface
REST API (api.notion.com/v1)
Authentication
OAuth 2.0 for public integrations, or an internal integration secret (bearer token); every request must send a Notion-Version header
Change detection
Workspace webhooks (page.created, page.content_updated, data_source.schema_updated, comment.created; HMAC-SHA256 signed) plus polling on each page's last_edited_time
Capabilities
read · write · webhooks
Rate limits
Average of ~3 requests/second per integration with some bursts; 429 with a Retry-After header when exceeded. Payloads capped at 500 KB and 1000 block elements.
How it works

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

    Choose tables

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

Citus and Notion 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 437 integrations available for Citus and Notion.

Popular · 7 of 437
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