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Database

Connect PostgreSQL to any app with two-way sync.

Two-way sync PostgreSQL across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes
Setup guide: how Stacksync connects to PostgreSQL

Adopted by fast-scaling companies moving mission-critical data in real time

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Object catalog

What Stacksync syncs in PostgreSQL.

These objects sync between PostgreSQL and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where PostgreSQL exposes them.

Tables
The primary sync target; rows map one-to-one to records in connected SaaS systems.
Views
Read-side projections used to expose joined or filtered data to a sync.
Materialized Views
Precomputed result sets synced outward on a refresh schedule.
Schemas
Namespaces that scope which tables a sync reads and writes.
Columns
Field-level mapping targets; types are mapped to the connected system's field types.
Primary and Unique Keys
Used as match keys for idempotent upserts and conflict resolution.
JSONB Columns
Hold semi-structured payloads such as nested SaaS objects or metadata.
Sequences
Generate surrogate keys for rows created by inbound syncs.
Custom Types and Enums
Constrain synced values to a fixed set, mirroring picklist fields.
API surface

How Stacksync connects to PostgreSQL.

The connector runs on PostgreSQL's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Supported
  • Webhooks Not available
PostgreSQL connector documentation
What ships with PostgreSQL

Connect PostgreSQL for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in PostgreSQL instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 PostgreSQL record.

Observability

Monitoring

Track your PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the PostgreSQL connector.

Backend and data engineering teams run Postgres as the operational database behind their applications; it is open source with over 35 years of active development and a common default for new systems. Because the application writes to it directly, it holds the freshest customer and product state in the company, and RevOps and IT teams increasingly treat it as the hub that operational SaaS tools should sync against rather than maintaining separate copies.

  • Data engineering
  • Backend engineering
  • RevOps
  • DBAs / IT

  1. Two-way sync between Postgres and a CRM so engineers work in SQL while sales edits the same records in Salesforce or HubSpot

  2. Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join

  3. Let an application write to its own database and have those rows appear as records in business systems in near real time

  4. Consolidate data from several microservice databases into one operational Postgres store

  5. Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts

  6. Run a two-way sync between Postgres Tables and a CRM so engineers work in SQL while go-to-market teams see the same records in their own tool.

All PostgreSQL integrations

Pick the system you need to keep in sync with PostgreSQL. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 45

ERP · 42

Database · 49

Data warehouse · 30

Business productivity · 41

Accounting and finance · 17

How it works

Set up PostgreSQL in minutes, without APIs.

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 PostgreSQL with its 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
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the PostgreSQL objects to sync — Stacksync auto-detects the schema, 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 · 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
    PostgreSQL database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

PostgreSQL connector FAQ

What can I sync with the PostgreSQL connector?

PostgreSQL's core objects — Tables, Views, Materialized Views, Schemas and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to PostgreSQL?

Via SQL wire protocol (PostgreSQL frontend/backend protocol), authenticated with Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user. Changes are detected as follows — 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. Stacksync manages rate limits, retries, and schema changes automatically.

Is the PostgreSQL connector two-way?

Yes. Changes made in PostgreSQL propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a PostgreSQL integration take to set up?

Most PostgreSQL integrations go live in minutes: authenticate PostgreSQL and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is PostgreSQL data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. PostgreSQL data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
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