Two-way sync
Changes in Google Cloud SQL or Seismic instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud SQL 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.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Google Cloud SQL, where it can be queried and joined like everything else.
Stacksync mirrors LiveSend Links, Digital Sales Rooms, Reporting Activities, Library Content from Seismic into Rows, Views, Transaction logs, Instances in Google Cloud SQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Seismic with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Signup, usage, or lifecycle changes written to Google Cloud SQL sync onto the matching records in Seismic, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Seismic API, limits, and retries.
Field and stage updates in Seismic arrive as row changes in Google Cloud SQL, ready to drive jobs and notifications.
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 SQL objects | Seismic objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespace tables in PostgreSQL and SQL Server instances. | Teamsites Tenant-scoped workspace partitions organizing Library content, permissions, and config; scoped by teamSiteId on most content calls. | Schemas is specific to Google Cloud SQL and Teamsites to Seismic — each maps to any object or custom field on the other side. | |
| Tables Mapped directly to sync targets; schema changes can be propagated. | LiveSend Links Trackable content-share links created via the engagement API; their open and view engagement is read back through Reporting. | Tables is specific to Google Cloud SQL and LiveSend Links to Seismic — each maps to any object or custom field on the other side. | |
| Rows Read and written by primary key during each sync cycle. | Digital Sales Rooms Buyer-facing microsites (DSRs); lifecycle and content-change events surface via webhooks, currently marked Early Access. | Rows is specific to Google Cloud SQL and Digital Sales Rooms to Seismic — each maps to any object or custom field on the other side. | |
| Views Read-only sources for shaping data before syncing it out. | Reporting Activities Content-interaction, engagement, and usage analytics extracted read-only through the ETL-oriented Reporting API v2 for a warehouse. | Views is specific to Google Cloud SQL and Reporting Activities to Seismic — each maps to any object or custom field on the other side. | |
| Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | Library Content Documents, decks, and assets stored in teamsites; created, moved, and retrieved via the Content Management API, each with a contentId. | Transaction logs is specific to Google Cloud SQL and Library Content to Seismic — each maps to any object or custom field on the other side. | |
| Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | Content Versions Version history for a library item; new versions upload via API and old ones expire, with events firing on ContentManager webhooks. | Instances is specific to Google Cloud SQL and Content Versions 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.
DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.
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 SQL 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 SQL–Seismic connection.
Changes in Google Cloud SQL or Seismic instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud SQL 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 SQL or Seismic record.
Track your Google Cloud SQL ⇄ Seismic sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud SQL 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 SQL 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 SQL 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 SQL and Seismic: authenticate both systems, choose the objects to sync (such as Google Cloud SQL's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Google Cloud SQL and Seismic. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google Cloud SQL: Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback. On Seismic: 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). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Seismic side: LiveSend Links, Digital Sales Rooms, Reporting Activities, Library Content, plus custom fields where Seismic exposes them. On the Google Cloud SQL side: Rows, Views, Transaction logs, Instances. 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 SQL and Seismic: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Google Cloud SQL sync onto the matching records in Seismic, giving go-to-market teams live product context.
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 458 integrations available for Google Cloud SQL and Seismic.