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CRM ⇄ Database

Outreach to PostgreSQL integration — real-time, two-way sync

Keep Outreach and PostgreSQL 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 PostgreSQL

Treat Outreach like part of your database: its records live in PostgreSQL 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 PostgreSQL, where it can be queried and joined like everything else.

Stacksync mirrors Mailboxes, Prospects, Accounts, Sequences from Outreach into Tables, Views, Materialized Views, Schemas in PostgreSQL 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

  • Enroll leads in sequences automatically by writing sequence-state records when a lead crosses a scoring threshold in the warehouse.
  • Pull mailing, call, and task activity into a database for engagement analytics beyond native reports.
  • Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
  • Let an application write to its own database and have those rows appear as records in business systems in near real time

Query the CRM like a database

Accounts, contacts, and custom objects from Outreach become tables in PostgreSQL you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to PostgreSQL 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.

What you can sync between Outreach and PostgreSQL

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 PostgreSQL objects
Mailings Sent emails with engagement data, pulled for activity analytics Tables The primary sync target; rows map one-to-one to records in connected SaaS systems.
Calls Logged call records synced into engagement reporting Views Read-side projections used to expose joined or filtered data to a sync.
Tasks Rep action items mirrored between Outreach and the CRM Materialized Views Precomputed result sets synced outward on a refresh schedule.
Opportunities Deal records used to tie engagement to pipeline outcomes Schemas Namespaces that scope which tables a sync reads and writes.
Users Seat holders used to resolve ownership on synced records Columns Field-level mapping targets; types are mapped to the connected system's field types.
Mailboxes Connected sending accounts referenced when attributing outbound activity Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution.
What ships with Outreach ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Outreach or PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your Outreach ⇄ PostgreSQL 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 PostgreSQL.

How the Outreach and PostgreSQL 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

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
PostgreSQL setup guide
How it works

How to connect Outreach to PostgreSQL — 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 PostgreSQL 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
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Outreach and PostgreSQL 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 ⇄ PostgreSQL
    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 PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Outreach and PostgreSQL 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 PostgreSQL.

Popular · 8 of 386
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