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Data warehouse ⇄ CRM

BigQuery to Dun And Bradstreet integration — real-time data sync

Keep BigQuery and Dun And Bradstreet 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 Dun And Bradstreet

Flow Dun And Bradstreet data into BigQuery in real time — no exports, no schedulers, no custom scripts.

Dun And Bradstreet is a read-only source: Stacksync reads its data in real time and delivers it into BigQuery, so BigQuery always reflects the current state of Dun And Bradstreet — without exports, scripts, or schedulers.

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. Principals & Contacts (Data Block), Company Hierarchy & Connections (Family Tree), Financial Strength & Risk Insight (Data Block), Identity Resolution (Match / cleanseMatch) from Dun And Bradstreet land in BigQuery as live tables, updated within seconds, and columns computed in BigQuery write back to fields in Dun And Bradstreet. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Poll D&B Monitoring notifications for a registered portfolio of key accounts and suppliers and update the CRM or warehouse record whenever a firmographic or risk score changes.
  • 02 Pull D&B risk and credit signals (PAYDEX, Failure Score, D&B Rating) into a warehouse for credit-risk, vendor-risk, and third-party-risk analytics.
  • 03 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • 04 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs

Common sync patterns

Cleanup that sticks

Deduplication and normalization done in BigQuery can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from Dun And Bradstreet 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 Dun And Bradstreet, where the people working accounts actually see them.

What you can sync between BigQuery and Dun And Bradstreet

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 Dun And Bradstreet objects How this pairing syncs
Datasets Organizational container — you pick which dataset’s tables to sync. Company Hierarchy & Connections (Family Tree) Parent, subsidiary, branch, and global-ultimate DUNS relationships; read-only, used to build account hierarchies and corporate-family rollups. Datasets is specific to BigQuery and Company Hierarchy & Connections (Family Tree) to Dun And Bradstreet — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Financial Strength & Risk Insight (Data Block) D&B risk and credit signals - D&B Rating, PAYDEX, Failure Score, Delinquency Score, Viability - keyed by D-U-N-S Number; read-only. Projects is specific to BigQuery and Financial Strength & Risk Insight (Data Block) to Dun And Bradstreet — 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. Identity Resolution (Match / cleanseMatch) Sends a company name and address and returns ranked candidate DUNS with confidence codes and a MatchGrade; read-only scored match, not an exact lookup. Tables is specific to BigQuery and Identity Resolution (Match / cleanseMatch) to Dun And Bradstreet — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Criteria Search Query companies by firmographic criteria (industry, geography, size) and get back a list of D-U-N-S Numbers to enrich; read-only list building. Partitioned tables is specific to BigQuery and Criteria Search to Dun And Bradstreet — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Monitoring Notifications Change notices for a registered portfolio of DUNS; read-only feed pulled from the notifications endpoint (retained ~60 days) or delivered as bundled push. Clustered tables is specific to BigQuery and Monitoring Notifications to Dun And Bradstreet — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Dun And Bradstreet

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 Dun And Bradstreet 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").

DeliveryDun And Bradstreet does not accept inbound record writes, so this direction carries requests rather than records: Dun And Bradstreet's output flows back as field updates on the originating BigQuery records.

Dun And Bradstreet BigQuery Interval-based propagation

DetectionStacksync polls Dun And Bradstreet for changes on an incremental schedule, reading only records changed since the previous pass. Polling via D&B Monitoring - register a portfolio of DUNS and pull change notices from the notifications endpoint (retained ~60 days).

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.
  • Dun And Bradstreet: Per-contract transactions-per-second cap plus weekly/monthly/yearly quotas; exceeding TPS returns HTTP 429 with error 0045/0046 (0047 on spike arrest). Quotas reset on UTC boundaries.
What ships with BigQuery ⇄ Dun And Bradstreet

Connect BigQuery and Dun And Bradstreet for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Dun And Bradstreet 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 Dun And Bradstreet record.

Observability

Monitoring

Track your BigQuery ⇄ Dun And Bradstreet 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 Dun And Bradstreet.

How the BigQuery and Dun And Bradstreet 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

Dun And Bradstreet

Integration surface
D&B Direct+ REST API (plus.dnb.com) - capability groups for Identity Resolution (Match), Search, Enrich (Data Blocks by D-U-N-S Number), Multi-Process, Data File/Batch, and Monitoring
Authentication
OAuth 2.0 client-credentials: Base-auth a consumer key/secret to POST /v3/token for a bearer token; access tokens expire after 24 hours.
Change detection
Polling via D&B Monitoring - register a portfolio of DUNS and pull change notices from the notifications endpoint (retained ~60 days). Bundled push delivery is configured with your D&B rep; there is no standard HTTP webhook and no log-based CDC.
Capabilities
read
Rate limits
Per-contract transactions-per-second cap plus weekly/monthly/yearly quotas; exceeding TPS returns HTTP 429 with error 0045/0046 (0047 on spike arrest). Quotas reset on UTC boundaries.
How it works

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

    Choose tables

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

BigQuery and Dun And Bradstreet integration FAQ

SECURITY

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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 519 integrations available for BigQuery and Dun And Bradstreet.

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