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Marketing ⇄ Data warehouse

Demandbase to Snowflake integration — real-time, two-way sync

Keep Demandbase 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Demandbase and Snowflake

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

Snowflake is where your team models customers, product usage, and revenue into trusted tables; Demandbase 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 Databases, Schemas, Tables, Views in Snowflake with Campaigns, Account & Person Lists (Audiences), Company Details (B2B enrichment), Change Subscriptions in Demandbase 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 Demandbase while sends, opens, and conversions flow back to Snowflake — and Stacksync keeps every copy consistent and resolves conflicts by rules you set.

Common use cases

  • 01 Land CRM and ERP records in Snowflake continuously so BI reflects business systems without nightly batch ETL
  • 02 Activate modeled Snowflake tables by syncing scores and attributes back into CRM fields sales can act on
  • 03 Export Demandbase Accounts with intent and qualification and engagement scores into Snowflake or Postgres so RevOps can prioritize accounts next to CRM pipeline data.
  • 04 Push warehouse-computed account scores, custom fields, and audiences into Demandbase via the Data Import API so ABM campaigns and sales plays target the segments the warehouse defines.

Common sync patterns

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 Snowflake holds the current state for auditing.

Enrich records with warehouse context

Product-usage counts, plan tier, region, or account owner computed in Snowflake appear on the matching record in Demandbase, so targeting, routing, and personalization use up-to-date context.

Activate a modeled audience

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

What you can sync between Demandbase 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.

Demandbase objects Snowflake objects How this pairing syncs
Account & Person Lists (Audiences) Named account and person segments exported via Data Export; custom audiences pushed into Demandbase through the Data Import API. Read and write. Tables The main landing and activation target for synced records. Account & Person Lists (Audiences) is specific to Demandbase and Tables to Snowflake — each maps to any object or custom field on the other side.
Company Details (B2B enrichment) Firmographics, technographics, competitors, and corporate family tree fetched by domain or name via the B2B Company Search and Details endpoints; read-only enrichment. Views Modeled projections used as the source side of outbound syncs. Company Details (B2B enrichment) is specific to Demandbase and Views to Snowflake — each maps to any object or custom field on the other side.
Change Subscriptions Company firmographic, company news, family-tree (ownership), and DB person employment subscriptions delivered as webhook alerts with a signing secret; the real-time change feed. Materialized Views Precomputed results synced outward for low-latency reads. Change Subscriptions is specific to Demandbase and Materialized Views to Snowflake — each maps to any object or custom field on the other side.
Accounts Company/account records with firmographics, intent, and Demandbase qualification and engagement scores; exported via the Data Export API and imported or updated via the Data Import API. Streams Row-level change records on a table, consumed to process deltas instead of full scans. Accounts is specific to Demandbase and Streams to Snowflake — each maps to any object or custom field on the other side.
Opportunities Opportunity records synced from the CRM into Demandbase; exported with calculated insights and imported or updated through the Data Import API. Read and write. Stages File staging areas used for bulk loads into synced tables. Opportunities is specific to Demandbase and Stages to Snowflake — each maps to any object or custom field on the other side.
People (Persons) Contact/person records with verified business email, title, seniority, and quality grades; fetched and matched via the B2B Contact endpoints and exported or imported. Tasks Scheduled SQL used to transform synced data after it lands. People (Persons) is specific to Demandbase and Tasks to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between Demandbase 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.

Demandbase Snowflake Sub-second propagation

DetectionDemandbase notifies Stacksync of record changes through webhook events. Subscription API webhooks - company firmographic, company news, family-tree (ownership), and person employment-change alerts to a configurable URL.

DeliveryEach detected change is applied to Snowflake as a row-level write, with types converted between the two schemas.

Snowflake Demandbase 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.

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

Rate-limit considerations

  • Demandbase: Credit-based per API call; bulk jobs accept up to 10,000 records per submission, CSV uploads up to 5GB, and result URLs stay valid 24 hours; subscription alerts page up to 5,000 entities and list endpoints up to 100 per page.
  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with Demandbase ⇄ Snowflake

Connect Demandbase and Snowflake for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Demandbase 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 Demandbase or Snowflake record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Demandbase and Snowflake.

How the Demandbase and Snowflake connectors work

Demandbase

Integration surface
REST APIs (Demandbase One) - a B2B API (company/contact search, details, and match with async bulk enrichment jobs), a read-only Data Export API and a write-capable Data Import API (both async bulk jobs), and a Subscription API for webhook change alerts.
Authentication
JWT bearer tokens minted from Demandbase One API Key Sets at the platform level; each credential set expires after 8 hours and is rotated. Legacy single-user API tokens are deprecated.
Change detection
Subscription API webhooks - company firmographic, company news, family-tree (ownership), and person employment-change alerts to a configurable URL secured with a signing secret; bulk reads run as async export jobs (submit, poll, download). No log-based CDC.
Capabilities
read · write · webhooks
Rate limits
Credit-based per API call; bulk jobs accept up to 10,000 records per submission, CSV uploads up to 5GB, and result URLs stay valid 24 hours; subscription alerts page up to 5,000 entities and list endpoints up to 100 per page.

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 Demandbase 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 Demandbase 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
    Demandbase connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Demandbase 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 · Demandbase ⇄ 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
    Demandbase Snowflake
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Demandbase 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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→ 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 507 integrations available for Demandbase and Snowflake.

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