Two-way sync
Changes in BigQuery or Notion instantly reflect in both systems. No stale data, no manual imports.
Keep BigQuery 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.
Whatever Notion 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 Databases / Data sources, Properties, Blocks, Formula and Rollup properties from Notion into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Notion where the tool can use them.
A continuously synced copy in BigQuery preserves a queryable record even as data ages out of Notion or gets changed inside it.
Records and events from Notion land in BigQuery as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Notion's data with data from every other synced system to answer questions no single tool can.
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.
| BigQuery objects | Notion objects | How this pairing syncs | |
|---|---|---|---|
| Datasets Organizational container — you pick which dataset’s tables to sync. | Properties Typed columns on a page — title, rich_text, number, select, multi_select, date, people, relation, status, checkbox, URL. Read and written both ways. | Datasets is specific to BigQuery and Properties to Notion — each maps to any object or custom field on the other side. | |
| Projects Connection scope: the service account grants access per project. | Blocks The page body — paragraphs, headings, to-dos, tables — nested as children and fetched recursively, separate from a page's properties. | Projects is specific to BigQuery and Blocks to Notion — each maps to any object or custom field on the other side. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Formula and Rollup properties Values computed by Notion from other fields; read-only, so they are pulled out for reporting but never written back. | Tables is specific to BigQuery and Formula and Rollup properties to Notion — each maps to any object or custom field on the other side. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Users Workspace members and bots referenced by people properties; read-only — users cannot be created or invited through the API. | Partitioned tables is specific to BigQuery and Users to Notion — each maps to any object or custom field on the other side. | |
| Clustered tables Supported; clustering is transparent to the sync. | Comments Page and inline discussion threads; can be read and created, useful for surfacing Notion activity in another system. | Clustered tables is specific to BigQuery and Comments to Notion — 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.
DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").
DeliveryEach detected change is written to Notion through its API, with automatic retries and rate-limit backoff.
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 BigQuery as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Notion connection.
Changes in BigQuery or Notion instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or Notion data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or Notion record.
Track your BigQuery ⇄ Notion sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and Notion.
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 BigQuery 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.
Pick the BigQuery 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.
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 BigQuery and Notion: authenticate both systems, choose the objects to sync (such as BigQuery's Datasets and Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both BigQuery and Notion. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on BigQuery: Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Notion side: Databases / Data sources, Properties, Blocks, Formula and Rollup properties, plus custom fields where Notion exposes them. On the BigQuery side: Projects, Tables, Partitioned tables, Clustered tables. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for BigQuery and Notion: History that outlives the tool; Analytics on Notion's data; Cross-tool reporting. A continuously synced copy in BigQuery preserves a queryable record even as data ages out of Notion or gets changed inside it.
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 547 integrations available for BigQuery and Notion.