Skip to content
Data warehouse ⇄ CRM

BigQuery to Seismic integration — real-time, two-way sync

Keep BigQuery 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 BigQuery and Seismic

Sync Seismic into BigQuery continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

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. Reporting Activities, Library Content, Content Versions, Users from Seismic land in BigQuery as live tables, updated within seconds, and columns computed in BigQuery write back to fields in Seismic. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 React to ContentManager and DSR webhook events to update a database when documents are published, versioned, or expired.
  • 02 Provision and deactivate Seismic Users and User Groups from an HRIS or IdP so content access mirrors joiner, mover, and leaver changes.
  • 03 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • 04 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources

Common sync patterns

CRM analytics on live data

Accounts, contacts, and activity from Seismic are queryable in BigQuery moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in BigQuery appear as fields in Seismic, where the people working accounts actually see them.

A single customer view

Join Seismic's relationship data with billing, product, and support data in BigQuery to build the customer picture the CRM alone cannot hold.

What you can sync between BigQuery 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.

BigQuery objects Seismic objects How this pairing syncs
Projects Connection scope: the service account grants access per project. Reporting Activities Content-interaction, engagement, and usage analytics extracted read-only through the ETL-oriented Reporting API v2 for a warehouse. Projects is specific to BigQuery and Reporting Activities to Seismic — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Library Content Documents, decks, and assets stored in teamsites; created, moved, and retrieved via the Content Management API, each with a contentId. Tables is specific to BigQuery and Library Content to Seismic — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Content Versions Version history for a library item; new versions upload via API and old ones expire, with events firing on ContentManager webhooks. Partitioned tables is specific to BigQuery and Content Versions to Seismic — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Users User records managed through SCIM 2.0 and legacy user endpoints; created, updated, and deactivated for provisioning sync. Clustered tables is specific to BigQuery and Users to Seismic — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. User Groups Group definitions and membership that govern content access; synced from an IdP or HRIS to keep permissions current. Datasets is specific to BigQuery and User Groups to Seismic — each maps to any object or custom field on the other side.

How changes propagate between BigQuery 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.

BigQuery Seismic Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Seismic through its API, with automatic retries and rate-limit backoff.

Seismic BigQuery 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 applied to BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • 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 BigQuery ⇄ Seismic

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery 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 BigQuery or Seismic record.

Observability

Monitoring

Track your BigQuery ⇄ Seismic sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Seismic.

How the BigQuery and Seismic connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

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 BigQuery 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 BigQuery 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
    BigQuery connected
    Seismic connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery 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 · BigQuery ⇄ 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
    BigQuery Seismic
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

BigQuery 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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 565 integrations available for BigQuery and Seismic.

Popular · 8 of 565
All BigQuery integrations All Seismic integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

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

Book a demo Tour the platform on your own