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Database ⇄ CRM

Postgres Heroku to ZoomInfo integration — real-time data sync

Keep Postgres Heroku and ZoomInfo 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

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Migrated from Mulesoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Postgres Heroku and ZoomInfo

Treat ZoomInfo like part of your database: its records live in Postgres Heroku as real tables, and writes in either place sync to the other in seconds.

ZoomInfo is a read-only source: Stacksync reads its data in real time and delivers it into Postgres Heroku, so Postgres Heroku always reflects the current state of ZoomInfo — without exports, scripts, or schedulers.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Postgres Heroku, where it can be queried and joined like everything else.

Common use cases

  • Sync intent signals into the CRM or warehouse to trigger outbound plays on in-market accounts.
  • Fill gaps in new lead records (email, phone, company size) as they enter the CRM.
  • Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
  • Keep several Heroku app databases aligned with one system of record

Trigger workflows from CRM changes

Field and stage updates in ZoomInfo arrive as row changes in Postgres Heroku, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from ZoomInfo become tables in Postgres Heroku you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Postgres Heroku sync onto the matching records in ZoomInfo, giving go-to-market teams live product context.

What you can sync between Postgres Heroku and ZoomInfo

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.

Postgres Heroku objects ZoomInfo objects
Schemas Namespaces that scope which tables a sync reads and writes. Scoops Event-driven signals such as leadership changes, funding rounds, and new projects.
Primary and Unique Keys Match keys for idempotent upserts from connected systems. Technographics Technology install data per company, used for segmentation and territory planning.
JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Company Hierarchies Parent and subsidiary linkage used to align CRM account hierarchies.
Sequences Generate surrogate keys for rows created by inbound syncs. Company Profiles Firmographic records covering industry, size, revenue, and location, matched against CRM accounts.
Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Contact Profiles Person records with title, email, phone, and company linkage, used to enrich leads and contacts.
Tables Standard Postgres tables; the primary two-way sync target for app data. Intent Signals Company-level topic scores indicating in-market buying behavior.
What ships with Postgres Heroku ⇄ ZoomInfo

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

Track your Postgres Heroku ⇄ ZoomInfo sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Postgres Heroku and ZoomInfo.

How the Postgres Heroku and ZoomInfo connectors work

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

ZoomInfo

Integration surface
REST API organized around search and enrich endpoints
Authentication
API credentials exchanged for a short-lived JWT
Change detection
Scheduled re-enrichment and polling; the platform is primarily a lookup and enrichment source, not an event stream
Capabilities
read
Rate limits
Usage is metered by credits and contract-based limits rather than a single public rate limit.
How it works

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

    Choose tables

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

Postgres Heroku and ZoomInfo integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Postgres Heroku and ZoomInfo.

Popular · 8 of 386
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