Two-way sync
Changes in Notion or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Keep Notion and Render Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Render Postgres.
Stacksync mirrors Users, Comments, Files and attachments, Pages from Notion into Views, Materialized Views, Schemas, Columns and Types in Render Postgres 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.
Updates in Notion arrive as row changes in Render Postgres, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Notion are ordinary rows in Render Postgres; join them, index them, and use them in application logic without touching the vendor API.
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.
| Notion objects | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Users Workspace members and bots referenced by people properties; read-only — users cannot be created or invited through the API. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Users is specific to Notion and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Comments Page and inline discussion threads; can be read and created, useful for surfacing Notion activity in another system. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Comments is specific to Notion and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| 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. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Files and attachments is specific to Notion and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Pages The core content unit and also every row of a database; synced two-way as records, with typed properties mapping to table columns. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Pages is specific to Notion and Views to Render Postgres — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Databases / Data sources is specific to Notion and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Properties Typed columns on a page — title, rich_text, number, select, multi_select, date, people, relation, status, checkbox, URL. Read and written both ways. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Properties is specific to Notion and Schemas to Render Postgres — 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.
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 Render Postgres as a row-level write, with types converted between the two schemas.
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Notion through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Notion–Render Postgres connection.
Changes in Notion or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Notion or Render Postgres data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Notion or Render Postgres record.
Track your Notion ⇄ Render Postgres sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Notion and Render Postgres.
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 Notion and Render Postgres 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 Notion and Render Postgres 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 Notion and Render Postgres: authenticate both systems, choose the objects to sync (such as Notion's Users and Comments), map fields visually, and changes propagate both ways in milliseconds — no code required.
Notion: Notion-hosted file URLs are temporary and expire after about an hour, so files must be re-fetched or copied during a sync. Render Postgres: Logical replication requires wal_level=logical and an available replication slot; plan connection limits make pooling important for busy syncs. Stacksync's field mapping accounts for these differences between Notion and Render Postgres 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 Notion and Render Postgres records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Notion and Render Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Notion–Render Postgres integration in-house.
Yes — Stacksync ships production-grade connectors for both Notion and Render Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Notion: 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. On Render Postgres: Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback. 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 421 integrations available for Notion and Render Postgres.