Skip to content
Storage ⇄ CRM

Amazon S3 to Seismic integration — real-time, two-way sync

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.

  • 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Amazon S3 and Seismic

Keep the paperwork with the relationship: Seismic and Amazon S3 share every customer's records and files in real time, in both directions.

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 Done by hand, files drift away from the records they belong to and copies fall out of date.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.

Common use cases

  • 01 Provision and deactivate Seismic Users and User Groups from an HRIS or IdP so content access mirrors joiner, mover, and leaver changes.
  • 02 Extract content-interaction and LiveSend engagement from the Reporting API v2 into a warehouse to tie asset views to CRM Opportunities.
  • 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

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 Seismic, so people working the account see where the paperwork stands without opening storage.

One place for a customer's files

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.

A folder per account or deal

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.

What you can sync between Amazon S3 and Seismic

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.

How changes propagate between Amazon S3 and Seismic

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 Seismic 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 Seismic through its API, with automatic retries and rate-limit backoff.

Seismic Amazon S3 Sub-second propagation

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.

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.
  • Seismic: Tiered per-endpoint limits over a rolling 60-second window; exceeding returns HTTP 429, with X-Seismic-Remaining-Calls and X-Seismic-Total-Calls headers.
What ships with Amazon S3 ⇄ Seismic

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

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Seismic connection.

Real-time

Two-way sync

Changes in Amazon S3 or Seismic instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 or Seismic 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 Seismic record.

Observability

Monitoring

Track your Amazon S3 ⇄ Seismic 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 Seismic.

How the Amazon S3 and Seismic 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.

Seismic

Integration surface
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
Change detection
Webhooks for content, version, user, group, workflow, DSR, and LiveSend events; the Reporting API v2 is polled for batch historical extracts (ETL-oriented, not high-frequency)
Capabilities
read · write · webhooks
Rate limits
Tiered per-endpoint limits over a rolling 60-second window; exceeding returns HTTP 429, with X-Seismic-Remaining-Calls and X-Seismic-Total-Calls headers
Seismic setup guide
How it works

How to connect Amazon S3 to Seismic — 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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Amazon S3 connected
    Seismic connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Amazon S3 ⇄ Seismic
    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 Seismic
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Amazon S3 and Seismic integration FAQ

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 520 integrations available for Amazon S3 and Seismic.

Popular · 7 of 520
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.