Two-way sync
Changes in Google Cloud Platform or Seismic instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform 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.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Users, User Groups, Teamsites, LiveSend Links from Seismic land in Google Cloud Platform as live tables, updated within seconds, and columns computed in Google Cloud Platform write back to fields in Seismic. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Lead scores, churn risk, or usage segments computed in Google Cloud Platform appear as fields in Seismic, where the people working accounts actually see them.
Join Seismic's relationship data with billing, product, and support data in Google Cloud Platform to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Google Cloud Platform can be written back, so warehouse-side cleanup actually fixes the CRM.
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.
| Google Cloud Platform objects | Seismic objects | How this pairing syncs | |
|---|---|---|---|
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | Digital Sales Rooms Buyer-facing microsites (DSRs); lifecycle and content-change events surface via webhooks, currently marked Early Access. | BigQuery tables is specific to Google Cloud Platform and Digital Sales Rooms to Seismic — each maps to any object or custom field on the other side. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Reporting Activities Content-interaction, engagement, and usage analytics extracted read-only through the ETL-oriented Reporting API v2 for a warehouse. | Cloud SQL databases is specific to Google Cloud Platform and Reporting Activities to Seismic — each maps to any object or custom field on the other side. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Library Content Documents, decks, and assets stored in teamsites; created, moved, and retrieved via the Content Management API, each with a contentId. | Cloud Storage objects is specific to Google Cloud Platform and Library Content to Seismic — each maps to any object or custom field on the other side. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Content Versions Version history for a library item; new versions upload via API and old ones expire, with events firing on ContentManager webhooks. | Pub/Sub topics is specific to Google Cloud Platform and Content Versions to Seismic — each maps to any object or custom field on the other side. | |
| Firestore documents Document data read and written through the Firestore API for app-facing syncs. | Users User records managed through SCIM 2.0 and legacy user endpoints; created, updated, and deactivated for provisioning sync. | Firestore documents is specific to Google Cloud Platform and Users to Seismic — each maps to any object or custom field on the other side. | |
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | User Groups Group definitions and membership that govern content access; synced from an IdP or HRIS to keep permissions current. | Spanner tables is specific to Google Cloud Platform and User Groups 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.
DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.
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 applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–Seismic connection.
Changes in Google Cloud Platform or Seismic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform 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 Google Cloud Platform or Seismic record.
Track your Google Cloud Platform ⇄ Seismic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform and Seismic: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's BigQuery tables and Cloud SQL databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Seismic side: Users, User Groups, Teamsites, LiveSend Links, plus custom fields where Seismic exposes them. On the Google Cloud Platform side: Spanner tables, BigQuery datasets, BigQuery tables, Cloud SQL databases. 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 Google Cloud Platform and Seismic: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in Google Cloud Platform appear as fields in Seismic, where the people working accounts actually see them.
Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. 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: User provisioning follows SCIM 2.0 alongside legacy user endpoints, aligning identity sync with standard IdP connectors. Google Cloud Platform: BigQuery is append-oriented: row mutations go through DML or the Storage Write API, and streamed rows pass through a buffer before some operations can touch them. Stacksync's field mapping accounts for these differences between Google Cloud Platform and Seismic without custom code.
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 562 integrations available for Google Cloud Platform and Seismic.