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Storage

Connect Amazon S3 to any app with two-way sync.

Two-way sync Amazon S3 across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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

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Object catalog

What Stacksync syncs in Amazon S3.

These objects sync between Amazon S3 and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Amazon S3 exposes them.

Buckets
Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover.
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.
Object metadata
System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object.
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.
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.
Prefixes (folders)
Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix.
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.
API surface

How Stacksync connects to Amazon S3.

The connector runs on Amazon S3's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
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.

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Supported
What ships with Amazon S3

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

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

Real-time

Two-way sync

Changes in Amazon S3 instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 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 record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Amazon S3 connector.

Amazon S3 is the default object store for AWS-based companies, owned by data engineering, platform, and DevOps teams. It holds unstructured and semi-structured data — logs, exports, backups, media, data-lake Parquet files, and inbound partner files (EDI, CSV, invoices). It is a system of record for files, not rows: the bytes live in objects while the queryable signal is each object's key, size, LastModified, user metadata, and tags. Other systems constantly read from and write back to it.

  • Data engineering
  • Platform / DevOps engineers
  • Cloud infrastructure teams
  • Data governance and compliance

  1. Index every new Object's key, size, LastModified, and user metadata into a Postgres catalog table so applications query S3 contents in SQL instead of paging ListObjectsV2.

  2. 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.

  3. Mirror Objects under a given Bucket and prefix into another bucket, region, or a warehouse external stage for backup or downstream processing.

  4. Trigger a database or ERP record update the moment an S3 Event Notification fires an object-created event, for example when a partner drops an EDI or invoice file into an inbound prefix.

  5. Reconcile Object versions and delete markers into an audit table so teams track when files under a compliance prefix were added, replaced, or removed.

  6. Index new Objects' keys, sizes, LastModified, and user metadata into a Postgres catalog table so apps query what is in S3 with SQL rather than paging ListObjectsV2, with S3 Event Notifications keeping the catalog current as files land.

All Amazon S3 integrations

Pick the system you need to keep in sync with Amazon S3. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 45

ERP · 38

Database · 50

Data warehouse · 29

Business productivity · 40

How it works

Set up Amazon S3 in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon S3 objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon S3 connector FAQ

What can I sync with the Amazon S3 connector?

Amazon S3's core objects — Buckets, Objects, Object metadata, Object tags and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Amazon S3?

Via S3 REST API (also via AWS SDKs and the S3-compatible endpoint), authenticated with 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. Changes are detected as follows — 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. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Amazon S3 connector two-way?

Yes. Changes made in Amazon S3 propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does an Amazon S3 integration take to set up?

Most Amazon S3 integrations go live in minutes: authenticate Amazon S3 and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Amazon S3 data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Amazon S3 data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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:

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