Two-way sync
Changes in Amazon S3 or Seismic instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and Seismic in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Seismic 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 Done by hand, files drift away from the records they belong to and copies fall out of date.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 Library Content, Content Versions, Users, User Groups in Seismic 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 Seismic; and records from Seismic 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.
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 Seismic, so people working the account see where the paperwork stands without opening storage.
Attachments that accumulate against a record in Seismic collect in that customer's folder in Amazon S3, so the full document history lives in one place and is reachable by anyone who needs it.
When an account or deal is created in Seismic, 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.
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 | Seismic 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. | User Groups Group definitions and membership that govern content access; synced from an IdP or HRIS to keep permissions current. | Object versions is specific to Amazon S3 and User Groups to Seismic — 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. | Teamsites Tenant-scoped workspace partitions organizing Library content, permissions, and config; scoped by teamSiteId on most content calls. | Prefixes (folders) is specific to Amazon S3 and Teamsites to Seismic — 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. | LiveSend Links Trackable content-share links created via the engagement API; their open and view engagement is read back through Reporting. | Multipart uploads is specific to Amazon S3 and LiveSend Links to Seismic — 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. | Digital Sales Rooms Buyer-facing microsites (DSRs); lifecycle and content-change events surface via webhooks, currently marked Early Access. | Buckets is specific to Amazon S3 and Digital Sales Rooms to Seismic — 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. | Reporting Activities Content-interaction, engagement, and usage analytics extracted read-only through the ETL-oriented Reporting API v2 for a warehouse. | Objects is specific to Amazon S3 and Reporting Activities to Seismic — 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. | Library Content Documents, decks, and assets stored in teamsites; created, moved, and retrieved via the Content Management API, each with a contentId. | Object metadata is specific to Amazon S3 and Library Content to Seismic — 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 Seismic through its API, with automatic retries and rate-limit backoff.
DetectionSeismic notifies Stacksync of record changes through webhook events. Webhooks for content, version, user, group, workflow, DSR, and LiveSend events.
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–Seismic connection.
Changes in Amazon S3 or Seismic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or Seismic 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 Seismic record.
Track your Amazon S3 ⇄ Seismic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and Seismic.
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 Seismic 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 Seismic 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 Seismic: 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.
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 Seismic: Document status on the record; One place for a customer's files; A folder per account or deal. 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 Seismic, so people working the account see where the paperwork stands without opening storage.
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. Seismic: REST Integration APIs and Reporting API v2. Authentication: OAuth 2.0 / OpenID Connect; Bearer token in the Authorization header, via Authorization Code (user context) or client-credentials app-only flows. Stacksync manages authentication, retries, and rate limits on both sides.
Seismic: Rate limits are enforced per tier over a rolling 60-second window; exceeding them returns HTTP 429 with an indication of when to retry. Amazon S3: S3 stores opaque objects, not rows — there is no schema or query language, so listing is done with ListObjectsV2 (1,000 keys per page) and metadata must be indexed externally to be queryable. Stacksync's field mapping accounts for these differences between Amazon S3 and Seismic 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 Seismic records are not retained after a sync operation.
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.
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Every pair below is a real-time, two-way sync. Search all 520 integrations available for Amazon S3 and Seismic.