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Marketing ⇄ Database

Demandbase to Postgres Heroku integration — real-time, two-way sync

Keep Demandbase and Postgres Heroku 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 Demandbase and Postgres Heroku

Give your team Demandbase's contacts, campaigns, and engagement in Postgres Heroku: query them with SQL, push audiences built from your own data back to Demandbase, and skip the marketing API.

Demandbase 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 Postgres Heroku, hard to get into campaigns without manual exports.

Stacksync mirrors Account & Person Lists (Audiences), Company Details (B2B enrichment), Change Subscriptions, Accounts from Demandbase into Tables, Views, Materialized Views, Schemas in Postgres Heroku 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 Postgres Heroku, from usage, orders, or account status, sync back into Demandbase to drive campaigns and ads, with Demandbase kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • 02 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
  • 03 Sync Opportunities and Activities two-way so CRM deal and engagement data flows into Demandbase reporting and Demandbase-calculated insights flow back to the warehouse.
  • 04 Subscribe to Demandbase company and person change webhooks - firmographic updates, M&A, and leadership or employment changes - and land them in an operational store for real-time account alerts.

Common sync patterns

Engagement and results next to the customer

Opens, clicks, sends, RSVPs, or ad activity from Demandbase land in Postgres Heroku beside the matching customer record, ready for reporting and revenue attribution.

React to marketing changes as row changes

A new lead, form fill, or list change in Demandbase arrives as a row change in Postgres Heroku, so scoring, jobs, and notifications run in the tooling your team already uses.

Keep contact attributes consistent

Lifecycle stage, subscription status, or plan maintained on either side stays current on the other, ending exports and dual data entry.

What you can sync between Demandbase and Postgres Heroku

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 Postgres Heroku 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. Materialized Views Precomputed result sets synced outward on refresh. Account & Person Lists (Audiences) is specific to Demandbase and Materialized Views to Postgres Heroku — 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. Schemas Namespaces that scope which tables a sync reads and writes. Company Details (B2B enrichment) is specific to Demandbase and Schemas to Postgres Heroku — 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. Primary and Unique Keys Match keys for idempotent upserts from connected systems. Change Subscriptions is specific to Demandbase and Primary and Unique Keys to Postgres Heroku — 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. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Accounts is specific to Demandbase and JSONB Columns to Postgres Heroku — 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. Sequences Generate surrogate keys for rows created by inbound syncs. Opportunities is specific to Demandbase and Sequences to Postgres Heroku — 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. Follower Databases Heroku-managed read replicas usable as low-impact sync sources. People (Persons) is specific to Demandbase and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side.

How changes propagate between Demandbase and Postgres Heroku

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 Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.

Postgres Heroku Demandbase Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

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.
  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Demandbase ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Demandbase or Postgres Heroku 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 Postgres Heroku record.

Observability

Monitoring

Track your Demandbase ⇄ Postgres Heroku 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 Postgres Heroku.

How the Demandbase and Postgres Heroku 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.

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works

How to connect Demandbase to Postgres Heroku — 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 Postgres Heroku 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
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Demandbase and Postgres Heroku 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 ⇄ Postgres Heroku
    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 Postgres Heroku
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Demandbase and Postgres Heroku 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.

Learn more about security
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:

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 408 integrations available for Demandbase and Postgres Heroku.

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