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CRM ⇄ Database

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

Keep Pipedrive 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 Pipedrive and Postgres Heroku

Treat Pipedrive 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 Deals, Persons, Organizations, Activities from Pipedrive into Views, Materialized Views, Schemas, Primary and Unique Keys in Postgres Heroku with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Pipedrive 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 Pipedrive organizations aligned with an invoicing or accounting system's customer records.
  • Trigger onboarding or provisioning workflows from the synced database when a deal reaches won.
  • 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

Query the CRM like a database

Accounts, contacts, and custom objects from Pipedrive become tables in Postgres Heroku you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Postgres Heroku sync onto the matching records in Pipedrive, 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 Pipedrive API, limits, and retries.

What you can sync between Pipedrive 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.

Pipedrive objects Postgres Heroku objects
CallLogs Synced with incremental and full sync per the Stacksync docs. Schemas Namespaces that scope which tables a sync reads and writes.
Files Synced with incremental and full sync per the Stacksync docs. Primary and Unique Keys Match keys for idempotent upserts from connected systems.
Goals Synced with incremental and full sync per the Stacksync docs. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
Leads Pre-pipeline inbox items; written in from forms and enrichment pipelines. Sequences Generate surrogate keys for rows created by inbound syncs.
Notes Free-form context on deals, persons, and organizations; usually read-only. Follower Databases Heroku-managed read replicas usable as low-impact sync sources.
Pipelines Synced with incremental and full sync per the Stacksync docs. Tables Standard Postgres tables; the primary two-way sync target for app data.
What ships with Pipedrive ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Pipedrive 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 Pipedrive or Postgres Heroku record.

Observability

Monitoring

Track your Pipedrive ⇄ 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 Pipedrive and Postgres Heroku.

How the Pipedrive and Postgres Heroku connectors work

Pipedrive

Integration surface
REST API
Authentication
No-code guided connection: create a connection, select Pipedrive, then click "Allow and Install" (OAuth-style app install; docs do not name the protocol)
Change detection
Webhooks on per-object create, update, and delete events, with polling on update timestamps
Capabilities
read · write · webhooks
Rate limits
Request budgets vary by plan and authentication method.
Pipedrive setup guide

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

    Choose tables

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

Pipedrive 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Pipedrive and Postgres Heroku.

Popular · 8 of 386
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