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Full Enrich to PostgreSQL integration — real-time, two-way sync

Keep Full Enrich 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.

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  • 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 Full Enrich and PostgreSQL

Mirror Full Enrich's data into PostgreSQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Full Enrich through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in PostgreSQL.

Stacksync mirrors Credits, Enrichment requests, Contacts, Enrichment results from Full Enrich into Materialized Views, Schemas, Columns, Primary and Unique Keys in PostgreSQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Full Enrich, so the tool and the database never disagree.

Common use cases

  • 01 Route enrichment completions via webhook into a database that keeps contactability status current.
  • 02 Enrich new CRM contacts with verified emails and mobile numbers as they are created.
  • 03 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • 04 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join

Common sync patterns

Automate Full Enrich from your codebase

Write to the synced tables in PostgreSQL and Stacksync propagates the change into Full Enrich, replacing custom integration code.

React to changes as they happen

Updates in Full Enrich arrive as row changes in PostgreSQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

What you can sync between Full Enrich 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.

Full Enrich objects PostgreSQL objects How this pairing syncs
Enrichment results Completed records fetched by request ID or delivered via webhook. Views Read-side projections used to expose joined or filtered data to a sync. Enrichment results is specific to Full Enrich and Views to PostgreSQL — each maps to any object or custom field on the other side.
Emails Returned addresses with verification status, written back to the CRM or database. Materialized Views Precomputed result sets synced outward on a refresh schedule. Emails is specific to Full Enrich and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.
Phone numbers Returned mobile and direct-dial numbers from the provider waterfall. Schemas Namespaces that scope which tables a sync reads and writes. Phone numbers is specific to Full Enrich and Schemas to PostgreSQL — each maps to any object or custom field on the other side.
Credits Account balance consumed on successful finds; monitored to pace sync jobs. Columns Field-level mapping targets; types are mapped to the connected system's field types. Credits is specific to Full Enrich and Columns to PostgreSQL — each maps to any object or custom field on the other side.
Enrichment requests Submitted batches of contacts to enrich; processed asynchronously by the waterfall. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Enrichment requests is specific to Full Enrich and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side.
Contacts The person inputs (name plus company or domain) sent for enrichment. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Contacts is specific to Full Enrich and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Full Enrich and PostgreSQL

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.

Full Enrich PostgreSQL Sub-second propagation

DetectionFull Enrich notifies Stacksync of record changes through webhook events. Webhook callbacks when enrichment batches complete, with polling of result endpoints as a fallback.

DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Full Enrich Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

DeliveryEach detected change is written to Full Enrich through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Full Enrich: Subject to the platform's API rate limits and per-batch size constraints.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Full Enrich ⇄ PostgreSQL

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Full Enrich 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 Full Enrich or PostgreSQL record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Full Enrich and PostgreSQL.

How the Full Enrich and PostgreSQL connectors work

Full Enrich

Integration surface
REST API with asynchronous bulk enrichment endpoints
Authentication
API key (Bearer token)
Change detection
Webhook callbacks when enrichment batches complete, with polling of result endpoints as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits and per-batch size constraints

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 Full Enrich 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 Full Enrich 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
    Full Enrich connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Full Enrich 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 · Full Enrich ⇄ 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
    Full Enrich PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Full Enrich and PostgreSQL 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 425 integrations available for Full Enrich and PostgreSQL.

Popular · 7 of 425
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