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CRM ⇄ Database

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

Keep Outreach 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.

  • 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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Why teams connect Outreach and Postgres Heroku

Treat Outreach 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.

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.

Stacksync mirrors Opportunities, Users, Mailboxes, Prospects from Outreach into Schemas, Primary and Unique Keys, JSONB Columns, Sequences in Postgres Heroku with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Outreach with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • Suppress prospects across systems when a contact unsubscribes or a customer churns.
  • Enroll leads in sequences automatically by writing sequence-state records when a lead crosses a scoring threshold in the warehouse.
  • Reflect billing and subscription records into the app database so product logic reads local rows
  • Expose CRM objects as Postgres tables the Heroku application can query and join directly

Product events onto CRM records

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

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Outreach API, limits, and retries.

Trigger workflows from CRM changes

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

What you can sync between Outreach 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.

Outreach objects Postgres Heroku objects
Users Seat holders used to resolve ownership on synced records JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
Mailboxes Connected sending accounts referenced when attributing outbound activity Sequences Generate surrogate keys for rows created by inbound syncs.
Prospects The people being engaged; the main record kept in sync with the CRM Follower Databases Heroku-managed read replicas usable as low-impact sync sources.
Accounts Companies grouping prospects, aligned with CRM account ownership Tables Standard Postgres tables; the primary two-way sync target for app data.
Sequences Multi-step cadences; synced as reference data for enrollment automation Views Read-side projections exposed to outbound syncs.
Sequence states Per-prospect enrollments; writing one adds a prospect to a cadence Materialized Views Precomputed result sets synced outward on refresh.
What ships with Outreach ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Outreach 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 Outreach or Postgres Heroku record.

Observability

Monitoring

Track your Outreach ⇄ 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 Outreach and Postgres Heroku.

How the Outreach and Postgres Heroku connectors work

Outreach

Integration surface
REST API conforming to the JSON:API specification
Authentication
OAuth 2.0
Change detection
webhook subscriptions on resource create, update, and destroy events, plus polling
Capabilities
read · write · webhooks
Rate limits
subject to per-user hourly rate limits

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 Outreach 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 Outreach 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
    Outreach connected
    Postgres Heroku connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Outreach and Postgres Heroku 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.

Learn more about security
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:

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 386 integrations available for Outreach and Postgres Heroku.

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