Real-time
Two-way sync
Changes in Amazon S3 or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Storage ⇄ CRM
Amazon S3 to Salesforce integration — real-time, two-way sync
Keep Amazon S3 and Salesforce 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
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Migrated from MuleSoft
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Migrated from Celigo
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon S3 and Salesforce
Keep the paperwork with the relationship: Salesforce and Amazon S3 share every customer's records and files in real time, in both directions.
Salesforce 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 Done by hand, files drift away from the records they belong to and copies fall out of date.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 Objects, Accounts, Contacts, Leads in Salesforce aligned with Prefixes (folders), Multipart uploads, Buckets, Objects 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 Salesforce; and records from Salesforce 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 Write product usage metrics computed in a warehouse onto Account and Contact fields so reps see adoption signals on the record.
- 02 Trigger provisioning or billing changes in an operational database when an Opportunity moves to closed-won.
- 03 Reconcile Object versions and delete markers into an audit table so teams track when files under a compliance prefix were added, replaced, or removed.
- 04 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.
Common sync patterns
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 Salesforce, so the customer's paperwork sits with the relationship instead of a shared drive.
CRM records archived into storage
Records from Salesforce 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.
Document status on the record
Metadata kept in Amazon S3, such as document type, review state, or whether an agreement is signed, updates a field on the matching record in Salesforce, so people working the account see where the paperwork stands without opening storage.
What you can sync between Amazon S3 and Salesforce
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 | Salesforce objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | Multipart uploads is specific to Amazon S3 and Custom Objects to Salesforce — 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. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | Buckets is specific to Amazon S3 and Accounts to Salesforce — 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. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | Objects is specific to Amazon S3 and Contacts to Salesforce — 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. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | Object metadata is specific to Amazon S3 and Leads to Salesforce — each maps to any object or custom field on the other side. | |
| 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. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | Object tags is specific to Amazon S3 and Opportunities to Salesforce — 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. | Cases Support records; synced with help desk tools or internal databases for escalation workflows. | Object versions is specific to Amazon S3 and Cases to Salesforce — each maps to any object or custom field on the other side. |
How changes propagate between Amazon S3 and Salesforce
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 Salesforce 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 Salesforce through its API, with automatic retries and rate-limit backoff.
Salesforce Amazon S3 Sub-second propagation
DetectionChanges in Salesforce are captured at the source via change data capture — no polling loop against its API. Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting).
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.
- Salesforce: Daily API request allocations vary by edition and license count.
What ships with Amazon S3 ⇄ Salesforce
Connect Amazon S3 and Salesforce for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Salesforce connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Amazon S3 or Salesforce 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 Salesforce record.
Observability
Monitoring
Track your Amazon S3 ⇄ Salesforce 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 Salesforce.
How the Amazon S3 and Salesforce 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.
Salesforce
- Integration surface
- REST, SOAP, and Bulk APIs
- Authentication
- OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode
- Change detection
- Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting)
- Capabilities
- read · write · CDC
- Rate limits
- Daily API request allocations vary by edition and license count.
How it works
How to connect Amazon S3 to Salesforce — 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 Salesforce 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
Salesforce
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Amazon S3 and Salesforce 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 ⇄ SalesforceCustomers 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 SalesforceCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Amazon S3 and Salesforce integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Salesforce: authenticate both systems, choose the objects to sync (such as Amazon S3's Multipart uploads and Buckets), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Amazon S3 and Salesforce: Documents linked back to the record; CRM records archived into storage; Document status on the record. A contract, proposal, or signed agreement filed in Amazon S3 surfaces as a link on the matching record in Salesforce, so the customer's paperwork sits with the relationship instead of a shared drive.
-
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. Salesforce: REST, SOAP, and Bulk APIs. Authentication: OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode. Stacksync manages authentication, retries, and rate limits on both sides.
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Salesforce: Salesforce org must have API access enabled — Group and Essentials editions cannot use Stacksync; Professional requires the API add-on. Amazon S3: S3 provides strong read-after-write consistency for all operations, but it has no built-in change feed — near-real-time detection depends on S3 Event Notifications or EventBridge being configured on the bucket. Stacksync's field mapping accounts for these differences between Amazon S3 and Salesforce without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon S3 and Salesforce 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.
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
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