Real-time
Two-way sync
Changes in PostgreSQL or Rollworks instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Marketing
PostgreSQL to Rollworks integration — real-time, two-way sync
Keep PostgreSQL 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect PostgreSQL and Rollworks
Give your team Rollworks's contacts, campaigns, and engagement in PostgreSQL: query them with SQL, push audiences built from your own data back to Rollworks, and skip the marketing API.
Rollworks holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in PostgreSQL, hard to get into campaigns without manual exports.
Stacksync mirrors Account Tiers, Accounts (TAL Items), Audience Segments, Campaigns from Rollworks into Columns, Primary and Unique Keys, JSONB Columns, Sequences in PostgreSQL field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in PostgreSQL, from usage, orders, or account status, sync back into Rollworks to drive campaigns and ads, with Rollworks kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.
Common use cases
- 01 Consolidate data from several microservice databases into one operational Postgres store
- 02 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
- 03 Activate high-intent accounts by writing them into a Target Account List tier when a product or intent signal fires in an operational database.
- 04 Create and edit Prospecting v2 Campaigns and Ad Groups programmatically so budgets and targeting stay in step with an internal planning system.
Common sync patterns
Query Rollworks like a database
Contacts, leads, audiences, and campaign metrics from Rollworks live in PostgreSQL as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Build audiences from your own data
Segments computed in PostgreSQL from product usage, orders, or account status sync into Rollworks as lists or audiences, so campaigns and ads target the people your data says they should.
Engagement and results next to the customer
Opens, clicks, sends, RSVPs, or ad activity from Rollworks land in PostgreSQL beside the matching customer record, ready for reporting and revenue attribution.
What you can sync between PostgreSQL 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.
| PostgreSQL objects | Rollworks objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed result sets synced outward on a refresh schedule. | 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. | Materialized Views is specific to PostgreSQL and Accounts (TAL Items) to Rollworks — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | 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 is specific to PostgreSQL and Audience Segments to Rollworks — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets; types are mapped to the connected system's field types. | 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. | Columns is specific to PostgreSQL and Campaigns to Rollworks — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | 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. | Primary and Unique Keys is specific to PostgreSQL and Ad Groups and Ads to Rollworks — each maps to any object or custom field on the other side. | |
| JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | 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. | JSONB Columns is specific to PostgreSQL and Reporting and Attribution to Rollworks — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | 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. | Sequences is specific to PostgreSQL and Target Account Lists to Rollworks — each maps to any object or custom field on the other side. |
How changes propagate between PostgreSQL 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.
PostgreSQL Rollworks Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
DeliveryEach detected change is written to Rollworks through its API, with automatic retries and rate-limit backoff.
Rollworks PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
- 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 PostgreSQL ⇄ Rollworks
Connect PostgreSQL and Rollworks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Rollworks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever PostgreSQL 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 PostgreSQL or Rollworks record.
Observability
Monitoring
Track your PostgreSQL ⇄ Rollworks sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between PostgreSQL and Rollworks.
How the PostgreSQL and Rollworks connectors work
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
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 PostgreSQL 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.
- 01
Connect your apps
Authenticate PostgreSQL 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.
PostgreSQL
connected
Rollworks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the PostgreSQL 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.
objects · PostgreSQL ⇄ RollworksCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
PostgreSQL RollworksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
PostgreSQL and Rollworks integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between PostgreSQL and Rollworks: authenticate both systems, choose the objects to sync (such as PostgreSQL's Materialized Views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both PostgreSQL and Rollworks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. On Rollworks: Polling — reporting is pulled via GraphQL queries and account/audience membership is reconciled on a schedule; no change webhooks or CDC feed is published. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the PostgreSQL side: Columns, Primary and Unique Keys, JSONB Columns, Sequences, plus custom fields where PostgreSQL exposes them. On the Rollworks side: Account Tiers, Accounts (TAL Items), Audience Segments, Campaigns. Stacksync auto-detects both schemas and converts types between the two systems.
-
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
-
Common patterns for PostgreSQL and Rollworks: Query Rollworks like a database; Build audiences from your own data; Engagement and results next to the customer. Contacts, leads, audiences, and campaign metrics from Rollworks live in PostgreSQL as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ 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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 409 integrations available for PostgreSQL and Rollworks.
Popular · 4 of 409
No integrations match .
