Two-way sync
Changes in Amazon S3 or Kustomer instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and Kustomer in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Kustomer 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 Done by hand, files drift away from the records they belong to and copies fall out of date.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 (Klasses), Users, Teams, Tags in Kustomer aligned with Object metadata, Object tags, Object versions, Prefixes (folders) 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 Kustomer; and records from Kustomer 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.
When an account or deal is created in Kustomer, 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.
A contract, proposal, or signed agreement filed in Amazon S3 surfaces as a link on the matching record in Kustomer, so the customer's paperwork sits with the relationship instead of a shared drive.
Records from Kustomer 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.
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 | Kustomer 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. | Companies Organization records group customers and map to CRM accounts. | Object versions is specific to Amazon S3 and Companies to Kustomer — 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. | Custom Objects (Klasses) Structured external records such as orders and subscriptions synced in to appear on the customer timeline. | Prefixes (folders) is specific to Amazon S3 and Custom Objects (Klasses) to Kustomer — 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. | Users Agent records map conversation ownership to people in other systems. | Multipart uploads is specific to Amazon S3 and Users to Kustomer — 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. | Teams Team assignments support routing parity and reporting. | Buckets is specific to Amazon S3 and Teams to Kustomer — 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 Labels on conversations and customers sync for categorization and analytics. | Objects is specific to Amazon S3 and Tags to Kustomer — 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. | Notes Internal annotations carry context alongside synced conversations. | Object metadata is specific to Amazon S3 and Notes to Kustomer — each maps to any object or custom field on the other side. |
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.
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 Kustomer through its API, with automatic retries and rate-limit backoff.
DetectionKustomer notifies Stacksync of record changes through webhook events. Outbound webhooks on record events, plus polling for backfill.
DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Kustomer connection.
Changes in Amazon S3 or Kustomer instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or Kustomer data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon S3 or Kustomer record.
Track your Amazon S3 ⇄ Kustomer sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and Kustomer.
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.
Authenticate Amazon S3 and Kustomer with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Amazon S3 and Kustomer 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Amazon S3 and Kustomer: 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.
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. Kustomer: REST API. Authentication: API key used as a bearer token, scoped by role. Stacksync manages authentication, retries, and rate limits on both sides.
Kustomer: Kustomer's data model centers on a customer timeline: conversations, messages, and custom object records all appear chronologically against one customer record rather than as separate tickets. 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 Kustomer without custom code.
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 Kustomer records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and Kustomer connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–Kustomer integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon S3 and Kustomer. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 409 integrations available for Amazon S3 and Kustomer.