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Database ⇄ CRM

PostgreSQL to Streak CRM integration — real-time, two-way sync

Keep PostgreSQL and Streak CRM 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 PostgreSQL and Streak CRM

Treat Streak CRM 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 Custom fields, Pipelines, Boxes, Stages from Streak CRM 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 Streak CRM 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

  • Keep contacts aligned between Streak and email marketing or enrichment tools
  • Sync Streak boxes into Postgres so operations can query pipeline data with SQL and back internal tools
  • Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
  • Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join

Trigger workflows from CRM changes

Field and stage updates in Streak CRM arrive as row changes in PostgreSQL, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Streak CRM 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 Streak CRM, giving go-to-market teams live product context.

What you can sync between PostgreSQL and Streak CRM

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.

PostgreSQL objects Streak CRM objects
JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Stages Pipeline steps whose transitions are the usual trigger for downstream syncs.
Sequences Generate surrogate keys for rows created by inbound syncs. Contacts People linked to boxes, synced with marketing and support tools.
Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Organizations Company records associated with contacts and boxes.
Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Tasks To-dos attached to boxes for follow-up tracking.
Views Read-side projections used to expose joined or filtered data to a sync. Email threads Gmail threads linked to boxes, since the CRM lives inside the inbox.
Materialized Views Precomputed result sets synced outward on a refresh schedule. Custom fields Per-pipeline field definitions that determine what data a box can hold.
What ships with PostgreSQL ⇄ Streak CRM

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever PostgreSQL or Streak CRM 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 or Streak CRM record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between PostgreSQL and Streak CRM.

How the PostgreSQL and Streak CRM connectors work

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

Streak CRM

Integration surface
REST API
Authentication
API key issued per user
Change detection
Polling against pipeline, box, and contact endpoints; Streak's automations can send outbound webhooks on higher plans
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits; quotas are not prominently published
How it works

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

    Choose tables

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

PostgreSQL and Streak CRM 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 PostgreSQL and Streak CRM.

Popular · 8 of 386
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