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Marketing ⇄ Data warehouse

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

Keep Rollworks 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 Rollworks and Snowflake

Put modeled data to work and measure what it drives: Snowflake and Rollworks 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; 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 Schemas, Tables, Views, Materialized Views in Snowflake with Accounts (TAL Items), Audience Segments, Campaigns, Ad Groups and Ads 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 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 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 Snowflake — 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 Snowflake 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 Snowflake holds the current state for auditing.

What you can sync between Rollworks 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.

Rollworks objects Snowflake objects How this pairing syncs
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. Databases Top-level containers that scope which data a sync can touch. Accounts (TAL Items) is specific to Rollworks and Databases to Snowflake — each maps to any object or custom field on the other side.
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. Schemas Namespaces within a database used to organize synced tables. Audience Segments is specific to Rollworks and Schemas to Snowflake — each maps to any object or custom field on the other side.
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 The main landing and activation target for synced records. Campaigns is specific to Rollworks and Tables to Snowflake — each maps to any object or custom field on the other side.
Ad Groups and Ads Campaign subdivisions carrying attribute, contextual, geo, and device targeting plus creative; read and written to keep targeting aligned with an internal planning system. Views Modeled projections used as the source side of outbound syncs. Ad Groups and Ads is specific to Rollworks and Views to Snowflake — each maps to any object or custom field on the other side.
Reporting and Attribution Delivery and attribution metrics (impressions, clicks, cost, conversions, view-throughs) from the GraphQL Reporting API; read-only, aggregated by campaign, ad, and account domain. Materialized Views Precomputed results synced outward for low-latency reads. Reporting and Attribution is specific to Rollworks and Materialized Views to Snowflake — each maps to any object or custom field on the other side.
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. Streams Row-level change records on a table, consumed to process deltas instead of full scans. Target Account Lists is specific to Rollworks and Streams to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between Rollworks 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.

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

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

Rate-limit considerations

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

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Rollworks 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 Rollworks or Snowflake record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Rollworks and Snowflake connectors work

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.

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

    Choose tables

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

Rollworks 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 411 integrations available for Rollworks and Snowflake.

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