Two-way sync
Changes in Apache Druid or Notion instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid 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 Pages, Databases / Data sources, Properties, Blocks from Notion into tables in Apache Druid continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Druid can also be written back into fields in Notion where the tool can use them.
Combine Notion's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in Apache Druid sync back onto records in Notion, putting analysis where the work happens.
A continuously synced copy in Apache Druid preserves a queryable record even as data ages out of Notion or gets changed inside it.
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.
| Apache Druid objects | Notion objects | How this pairing syncs | |
|---|---|---|---|
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | 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. | Dimensions is specific to Apache Druid and Files and attachments to Notion — each maps to any object or custom field on the other side. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Pages The core content unit and also every row of a database; synced two-way as records, with typed properties mapping to table columns. | Metrics is specific to Apache Druid and Pages to Notion — each maps to any object or custom field on the other side. | |
| Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. | 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. | Ingestion Supervisors is specific to Apache Druid and Databases / Data sources to Notion — each maps to any object or custom field on the other side. | |
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Properties Typed columns on a page — title, rich_text, number, select, multi_select, date, people, relation, status, checkbox, URL. Read and written both ways. | Lookups is specific to Apache Druid and Properties to Notion — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Blocks The page body — paragraphs, headings, to-dos, tables — nested as children and fetched recursively, separate from a page's properties. | Tasks is specific to Apache Druid and Blocks to Notion — each maps to any object or custom field on the other side. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Formula and Rollup properties Values computed by Notion from other fields; read-only, so they are pulled out for reporting but never written back. | Datasources is specific to Apache Druid and Formula and Rollup properties 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.
DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
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 Apache Druid as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Notion connection.
Changes in Apache Druid or Notion instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid 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 Apache Druid or Notion record.
Track your Apache Druid ⇄ Notion sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid 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 Apache Druid 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 Apache Druid 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 Apache Druid and Notion: authenticate both systems, choose the objects to sync (such as Apache Druid's Dimensions and Metrics), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. 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: Pages, Databases / Data sources, Properties, Blocks, plus custom fields where Notion exposes them. On the Apache Druid side: Metrics, Ingestion Supervisors, Lookups, Tasks. 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 Apache Druid and Notion: Cross-tool reporting; Where Notion accepts updates: operational write-back; History that outlives the tool. Combine Notion's data with data from every other synced system to answer questions no single tool can.
Apache Druid: REST API (SQL over HTTP and native JSON queries); JDBC via Avatica. Authentication: Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy. Notion: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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.
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Every pair below is a real-time, two-way sync. Search all 445 integrations available for Apache Druid and Notion.