Real-time
Two-way sync
Changes in Amazon S3 or Gorgias instantly reflect in both systems. No stale data, no manual imports.
Storage ⇄ CRM
Amazon S3 to Gorgias integration — real-time, two-way sync
Keep Amazon S3 and Gorgias 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
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Amazon S3 and Gorgias
Keep the paperwork with the relationship: Gorgias and Amazon S3 share every customer's records and files in real time, in both directions.
Gorgias holds the customer relationship as structured records; Amazon S3 holds the files that belong to those relationships, from contracts and proposals to signed agreements and statements of work. The two are linked in practice and disconnected in software: someone downloads a document, renames it, and uploads it to the right folder, or exports records out to storage for retention. Done by hand, files drift away from the records they belong to and copies fall out of date.
Stacksync keeps Custom fields, Tickets, Messages, Customers in Gorgias aligned with Object versions, Prefixes (folders), Multipart uploads, Buckets in Amazon S3, in real time. A new account or deal can open its own folder in Amazon S3; a document filed in Amazon S3 can surface as a link and metadata on the matching record in Gorgias; and records from Gorgias can be written into Amazon S3 as files or objects for backup, archival, and compliance. You choose which side owns what, and Stacksync keeps the two consistent as either one changes.
Common use cases
- 01 Sync ticket tags and CSAT results to analytics tools for support quality reporting.
- 02 Keep customer records consistent between Gorgias and marketing platforms so support interactions inform campaigns.
- 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
A folder per account or deal
When an account or deal is created in Gorgias, a matching folder or container opens in Amazon S3, named and organized the same way, so files have a home the moment they are needed.
Documents linked back to the record
A contract, proposal, or signed agreement filed in Amazon S3 surfaces as a link on the matching record in Gorgias, so the customer's paperwork sits with the relationship instead of a shared drive.
CRM records archived into storage
Records from Gorgias are written into Amazon S3 as files or objects on the schedule you set, giving you a durable copy for backup, retention, and compliance without an export to run by hand.
What you can sync between Amazon S3 and Gorgias
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 | Gorgias objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Tickets The central support object, aggregating a conversation across channels. | Object versions is specific to Amazon S3 and Tickets to Gorgias — 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. | Messages Individual inbound and outbound messages attached to a ticket. | Prefixes (folders) is specific to Amazon S3 and Messages to Gorgias — 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. | Customers Unified shopper profiles that merge identities across connected stores. | Multipart uploads is specific to Amazon S3 and Customers to Gorgias — 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. | Users (agents) Support staff records used for assignment and workload reporting. | Buckets is specific to Amazon S3 and Users (agents) to Gorgias — 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. | Tags Categorize tickets for routing and downstream analytics. | Objects is specific to Amazon S3 and Tags to Gorgias — each maps to any object or custom field on the other side. | |
| 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. | Satisfaction surveys CSAT responses synced out for support quality reporting. | Object metadata is specific to Amazon S3 and Satisfaction surveys to Gorgias — each maps to any object or custom field on the other side. |
How changes propagate between Amazon S3 and Gorgias
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 Gorgias 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 Gorgias through its API, with automatic retries and rate-limit backoff.
Gorgias Amazon S3 Sub-second propagation
DetectionGorgias notifies Stacksync of record changes through webhook events. Webhooks for ticket and message events, supplemented by polling with updated-at cursors.
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.
- Gorgias: Subject to the platform's API rate limits, which vary by plan.
What ships with Amazon S3 ⇄ Gorgias
Connect Amazon S3 and Gorgias for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Gorgias connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon S3 or Gorgias 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 Gorgias record.
Observability
Monitoring
Track your Amazon S3 ⇄ Gorgias 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 Gorgias.
How the Amazon S3 and Gorgias 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.
Gorgias
- Integration surface
- REST API
- Authentication
- API key paired with the account email over HTTP Basic auth; OAuth 2.0 for public apps
- Change detection
- Webhooks for ticket and message events, supplemented by polling with updated-at cursors
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits, which vary by plan.
How it works
How to connect Amazon S3 to Gorgias — 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.
- 01
Connect your apps
Authenticate Amazon S3 and Gorgias with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Amazon S3
connected
Gorgias
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon S3 and Gorgias 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.
objects · Amazon S3 ⇄ GorgiasCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Amazon S3 GorgiasCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon S3 and Gorgias integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Gorgias: authenticate both systems, choose the objects to sync (such as Amazon S3's Object versions and Prefixes (folders)), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on Amazon S3: 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. On Gorgias: Webhooks for ticket and message events, supplemented by polling with updated-at cursors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Gorgias side: Custom fields, Tickets, Messages, Customers, plus custom fields where Gorgias exposes them. On the Amazon S3 side: Object versions, Prefixes (folders), Multipart uploads, Buckets. 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 Amazon S3 and Gorgias: A folder per account or deal; Documents linked back to the record; CRM records archived into storage. When an account or deal is created in Gorgias, a matching folder or container opens in Amazon S3, named and organized the same way, so files have a home the moment they are needed.
-
Amazon S3: 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. Gorgias: REST API. Authentication: API key paired with the account email over HTTP Basic auth; OAuth 2.0 for public apps. Stacksync manages authentication, retries, and rate limits on both sides.
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
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 500 integrations available for Amazon S3 and Gorgias.
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No integrations match .
