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CRM ⇄ Data warehouse

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

Keep Dun And Bradstreet and Snowflake 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 Dun And Bradstreet and Snowflake

Flow Dun And Bradstreet data into Snowflake 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 Snowflake, so Snowflake 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. Company Information (Data Block), Principals & Contacts (Data Block), Company Hierarchy & Connections (Family Tree), Financial Strength & Risk Insight (Data Block) from Dun And Bradstreet land in Snowflake as live tables, updated within seconds, and columns computed in Snowflake 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 Sync the D&B corporate family tree (parent and subsidiary DUNS) into the CRM so ABM and territory owners see full account hierarchies and roll pipeline up to the global ultimate.
  • 02 Build target-account lists with Criteria Search and land the resulting DUNS plus firmographics in a database for outbound and TAM analysis.
  • 03 Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
  • 04 Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL

Common sync patterns

A single customer view

Join Dun And Bradstreet's relationship data with billing, product, and support data in Snowflake to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in Snowflake 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 Snowflake moments after they change, so dashboards stop lagging the reality they describe.

What you can sync between Dun And Bradstreet and Snowflake

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.

Dun And Bradstreet objects Snowflake objects How this pairing syncs
Company Information (Data Block) Core firmographics for a D-U-N-S Number - legal name, addresses, industry codes, employees, sales, status. Retrieved read-only via the Enrich endpoint; blocks come in levels L1-L4. VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. Company Information (Data Block) is specific to Dun And Bradstreet and VARIANT Columns to Snowflake — each maps to any object or custom field on the other side.
Principals & Contacts (Data Block) Company officers, executives, and contacts tied to a D-U-N-S Number; read-only enrichment used to populate CRM contact and account-owner fields. Virtual Warehouses The compute a sync's queries run on, sized independently of storage. Principals & Contacts (Data Block) is specific to Dun And Bradstreet and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side.
Company Hierarchy & Connections (Family Tree) Parent, subsidiary, branch, and global-ultimate DUNS relationships; read-only, used to build account hierarchies and corporate-family rollups. Databases Top-level containers that scope which data a sync can touch. Company Hierarchy & Connections (Family Tree) is specific to Dun And Bradstreet and Databases to Snowflake — each maps to any object or custom field on the other side.
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. Schemas Namespaces within a database used to organize synced tables. Financial Strength & Risk Insight (Data Block) is specific to Dun And Bradstreet and Schemas to Snowflake — each maps to any object or custom field on the other side.
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 The main landing and activation target for synced records. Identity Resolution (Match / cleanseMatch) is specific to Dun And Bradstreet and Tables to Snowflake — each maps to any object or custom field on the other side.
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. Views Modeled projections used as the source side of outbound syncs. Criteria Search is specific to Dun And Bradstreet and Views to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between Dun And Bradstreet and Snowflake

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.

Dun And Bradstreet Snowflake 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 Snowflake as a row-level write, with types converted between the two schemas.

Snowflake Dun And Bradstreet Sub-second propagation

DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.

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 Snowflake records.

Rate-limit considerations

  • 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.
  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Dun And Bradstreet ⇄ Snowflake

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

Track your Dun And Bradstreet ⇄ Snowflake sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Dun And Bradstreet and Snowflake.

How the Dun And Bradstreet and Snowflake connectors work

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.

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide
How it works

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

    Choose tables

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

Dun And Bradstreet and Snowflake 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 524 integrations available for Dun And Bradstreet and Snowflake.

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