Skip to content
Data warehouse ⇄ Business productivity

Apache Druid to Notion integration — real-time, two-way sync

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.

  • 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Druid and Notion

Get the data locked inside Notion into Apache Druid as live tables, and send results back where Notion can use them, without writing a pipeline.

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.

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 Druid query results into a warehouse to combine real-time aggregates with historical models.
  • 04 Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.

Common sync patterns

Cross-tool reporting

Combine Notion's data with data from every other synced system to answer questions no single tool can.

Where Notion accepts updates: operational write-back

Segments, scores, or reference values computed in Apache Druid sync back onto records in Notion, putting analysis where the work happens.

History that outlives the tool

A continuously synced copy in Apache Druid preserves a queryable record even as data ages out of Notion or gets changed inside it.

What you can sync between Apache Druid 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.

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.

How changes propagate between Apache Druid 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.

Apache Druid Notion Interval-based propagation

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.

Notion Apache Druid 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 Apache Druid as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • 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 Apache Druid ⇄ Notion

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Notion record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Druid and Notion connectors work

Apache Druid

Integration surface
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
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Druid connected
    Notion connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Druid ⇄ 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
    Apache Druid Notion
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Apache Druid 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 445 integrations available for Apache Druid and Notion.

Popular · 6 of 445
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.