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Data warehouse ⇄ Marketing

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

Keep BigQuery and Rollworks in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect BigQuery and Rollworks

Put modeled data to work and measure what it drives: BigQuery and Rollworks keep contacts, audiences, and campaign results in step in real time, in both directions.

BigQuery is where your team models customers, product usage, and revenue into trusted tables; Rollworks runs the campaigns, audiences, and messages that reach those people. The two overlap wherever the same person, account, or segment matters to both, and when the bridge between them is a nightly export or a hand-built list, marketing targets stale data while analytics never sees what the campaign returned.

Stacksync syncs Partitioned tables, Clustered tables, Datasets, Projects in BigQuery with Account Tiers, Accounts (TAL Items), Audience Segments, Campaigns in Rollworks field by field, in real time, and in both directions. You decide which system owns which fields — a computed score or segment can flow out to Rollworks while sends, opens, and conversions flow back to BigQuery — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • 02 Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • 03 Read campaign delivery and attribution metrics from the GraphQL Reporting API into Postgres or a warehouse for pipeline and spend reporting.
  • 04 Activate high-intent accounts by writing them into a Target Account List tier when a product or intent signal fires in an operational database.

Common sync patterns

Activate a modeled audience

A segment or score built in BigQuery — high-intent accounts, churn risk, a lifetime-value tier — lands as an audience or contact field in Rollworks, so campaigns target the people your data actually points to instead of a static export.

Keep the contact and audience list current

New and updated contacts, leads, or audience members flow between BigQuery and Rollworks, so the marketing audience reflects the people in your warehouse and corrections propagate instead of the two sides drifting apart.

Suppression and consent stay aligned

Unsubscribes, bounces, and consent or opt-out flags held in either system propagate to the other, so no one is messaged after opting out and BigQuery holds the current state for auditing.

What you can sync between BigQuery and Rollworks

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 Rollworks objects How this pairing syncs
Partitioned tables Synced like regular tables; partition columns map to target fields. Target Account Lists Named lists of B2B accounts for ABM; managed through /audience/v1/target_accounts so a CRM or warehouse can push and reconcile the accounts RollWorks advertises against. Partitioned tables is specific to BigQuery and Target Account Lists to Rollworks — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Account Tiers Groups within a Target Account List; an account belongs to only one tier per list, so tier assignments are written from source-of-truth data to drive tiered targeting. Clustered tables is specific to BigQuery and Account Tiers to Rollworks — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Accounts (TAL Items) Individual accounts identified by domain; added or removed via the tier items endpoint (POST/DELETE) so an operational database can control which domains are targeted. Datasets is specific to BigQuery and Accounts (TAL Items) to Rollworks — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Audience Segments CRM (email), custom (cookie or ID), and lookalike segments created via /audience/v1/segments; membership is written from a warehouse with a duration of 1 to 540 days. Projects is specific to BigQuery and Audience Segments to Rollworks — 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. Campaigns Prospecting v2 campaigns running on Web and LinkedIn with budget, KPI, and flight settings; created and edited via API and read back for status and pacing. Tables is specific to BigQuery and Campaigns to Rollworks — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Rollworks

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

Rollworks BigQuery Interval-based propagation

DetectionStacksync polls Rollworks for changes on an incremental schedule, reading only records changed since the previous pass. Polling — reporting is pulled via GraphQL queries and account/audience membership is reconciled on a schedule.

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.
  • Rollworks: NextRoll does not publish explicit rate limits; access tokens expire 24 hours after issue and refresh tokens rotate on use, so long-running syncs must keep refreshing credentials.
What ships with BigQuery ⇄ Rollworks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Rollworks 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 Rollworks record.

Observability

Monitoring

Track your BigQuery ⇄ Rollworks 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 Rollworks.

How the BigQuery and Rollworks 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

Rollworks

Integration surface
REST APIs (Audience, Prospecting v2) plus a GraphQL Reporting API
Authentication
OAuth 2.0 via NextRoll (Authorization Code grant, Bearer tokens per RFC 6749/6750); Personal Access Tokens supported for server-side scripts
Change detection
Polling — reporting is pulled via GraphQL queries and account/audience membership is reconciled on a schedule; no change webhooks or CDC feed is published
Capabilities
read · write
Rate limits
NextRoll does not publish explicit rate limits; access tokens expire 24 hours after issue and refresh tokens rotate on use, so long-running syncs must keep refreshing credentials.
How it works

How to connect BigQuery to Rollworks — 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 Rollworks 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
    Rollworks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and Rollworks 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 ⇄ Rollworks
    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 Rollworks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and Rollworks 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.

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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 406 integrations available for BigQuery and Rollworks.

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