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Storage ⇄ Business productivity

Amazon S3 to Notion integration — real-time, two-way sync

Keep Amazon S3 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.

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Why teams connect Amazon S3 and Notion

Land the records and documents that build up in Notion into Amazon S3 as they are created, and surface Amazon S3's file details on the Notion records that point to them, without an export job to maintain.

Notion and Amazon S3 hold different kinds of data. Notion carries records and the activity around them — the tickets, messages, orders, or issues a team works through, often with documents attached. Amazon S3 holds files and the metadata that describes them. Where the two meet is narrow but real: much of what Notion produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents Notion's records point to.

Stacksync syncs Properties, Blocks, Formula and Rollup properties, Users in Notion with Prefixes (folders), Multipart uploads, Buckets, Objects in Amazon S3 in real time. Records and attachments created in Notion are written into Amazon S3 as objects or files within seconds of being created. In the other direction, the metadata Amazon S3 keeps about those files — name, location, owner, modified date — flows back onto the matching record in Notion, so people see the current document without leaving the tool. Field-level mapping controls exactly what crosses over and in which direction, so you keep a durable copy of what matters without an extract to schedule or a nightly dump that leaves the copy a day behind.

Common use cases

  • 01 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.
  • 02 Sync a Notion content-calendar database with Jira or Linear by mapping status and date properties both directions.
  • 03 Two-way sync Object tags with a database so retention or classification labels set in an internal app write back onto S3 objects via the tagging API without rewriting the files.
  • 04 Mirror Objects under a given Bucket and prefix into another bucket, region, or a warehouse external stage for backup or downstream processing.

Common sync patterns

Feed a data lake or downstream pipeline

Structured records from Notion land in Amazon S3 as objects a data lake, search index, or processing pipeline can read, without a custom extract to build and babysit.

Archive what Notion produces into Amazon S3

Records and events from Notion — tickets, messages, orders, or issues — are written into Amazon S3 as objects or files as they change, giving you a durable, addressable copy for retention and audit.

Where Notion generates attachments: keep the files in Amazon S3

Documents attached to records in Notion land in the storage system automatically, with the source record holding a link back, so files live in one governed place instead of inside the tool.

What you can sync between Amazon S3 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.

Amazon S3 objects Notion objects How this pairing syncs
Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. Comments Page and inline discussion threads; can be read and created, useful for surfacing Notion activity in another system. Object tags is specific to Amazon S3 and Comments to Notion — each maps to any object or custom field on the other side.
Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. 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. Object versions is specific to Amazon S3 and Files and attachments to Notion — each maps to any object or custom field on the other side.
Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. Pages The core content unit and also every row of a database; synced two-way as records, with typed properties mapping to table columns. Prefixes (folders) is specific to Amazon S3 and Pages to Notion — each maps to any object or custom field on the other side.
Multipart uploads In-progress large-object uploads assembled from parts; objects above ~100 MB (required above 5 GB) are written this way, and incomplete uploads persist until completed or aborted. 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. Multipart uploads is specific to Amazon S3 and Databases / Data sources to Notion — each maps to any object or custom field on the other side.
Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. Properties Typed columns on a page — title, rich_text, number, select, multi_select, date, people, relation, status, checkbox, URL. Read and written both ways. Buckets is specific to Amazon S3 and Properties to Notion — each maps to any object or custom field on the other side.
Objects Files stored under a key; content is read with GET and written with PUT, and each object's key/size/ETag/LastModified is the unit indexed into a database. Blocks The page body — paragraphs, headings, to-dos, tables — nested as children and fetched recursively, separate from a page's properties. Objects is specific to Amazon S3 and Blocks to Notion — each maps to any object or custom field on the other side.

How changes propagate between Amazon S3 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.

Amazon S3 Notion Sub-second propagation

DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.

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

Notion Amazon S3 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 written to Amazon S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
  • 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 Amazon S3 ⇄ Notion

Connect Amazon S3 and Notion for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Notion connection.

Real-time

Two-way sync

Changes in Amazon S3 or Notion instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 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 Amazon S3 or Notion record.

Observability

Monitoring

Track your Amazon S3 ⇄ Notion sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon S3 and Notion.

How the Amazon S3 and Notion connectors work

Amazon S3

Integration surface
S3 REST API (also via AWS SDKs and the S3-compatible endpoint)
Authentication
AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles
Change detection
S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
Capabilities
read · write · webhooks
Rate limits
S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.

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 Amazon S3 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 Amazon S3 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
    Amazon S3 connected
    Notion connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon S3 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 · Amazon S3 ⇄ 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
    Amazon S3 Notion
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon S3 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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

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