Can you integrate Postgres Heroku with Veeva CRM?

Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Veeva CRM: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Sequences and Follower Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.

Can the Postgres Heroku–Veeva CRM sync run one-way instead of two-way?

Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.

How do teams use the Postgres Heroku and Veeva CRM integration?

Common patterns for Postgres Heroku and Veeva CRM: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Veeva CRM become tables in Postgres Heroku you can join with application data directly.

What should I know about the two APIs?

Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Veeva CRM: Salesforce-platform APIs (REST, SOAP, Bulk) for classic Veeva CRM; Vault REST API for Vault CRM. Authentication: OAuth 2.0. Stacksync manages authentication, retries, and rate limits on both sides.

What makes Veeva CRM's data model different?

Veeva CRM: Veeva is migrating customers from the Salesforce-based CRM to Vault CRM on its own Vault platform, which changes the API surface an integration targets. Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Stacksync's field mapping accounts for these differences between Postgres Heroku and Veeva CRM without custom code.

Is the Postgres Heroku–Veeva CRM integration secure?

Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Postgres Heroku and Veeva CRM records are not retained after a sync operation.

Database ⇄ CRM

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

Keep Postgres Heroku and Veeva 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

Live sync

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Postgres Heroku

Veeva CRM

<1s: latency
2-way: sync
100M+: records

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

Case study

Migrated from Mulesoft

Case study

Migrated from Celigo

Migrated from Heroku Connect

Migrated from Matillion

Case study

Migrated from Fivetran

Case study

Migrated from Celigo

Why teams connect Postgres Heroku and Veeva CRM

Treat Veeva CRM 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 Consent Records, Key Messages and CLM Content, Territories and Alignments, Events from Veeva CRM 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 Veeva 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

Feed territory alignments from a roster system into Veeva as field teams change.
Mirror medical inquiries into a medical information system for fulfillment and audit.
Keep several Heroku app databases aligned with one system of record
Reflect billing and subscription records into the app database so product logic reads local rows

Query the CRM like a database

Accounts, contacts, and custom objects from Veeva CRM 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 Veeva CRM, 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 Veeva CRM API, limits, and retries.

What you can sync between Postgres Heroku and Veeva 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.

Postgres Heroku objects		Veeva CRM objects
Sequences Generate surrogate keys for rows created by inbound syncs.	⇄	Sample Transactions Sample disbursement records tracked for regulatory compliance.
Follower Databases Heroku-managed read replicas usable as low-impact sync sources.	⇄	Consent Records Channel-level communication consent for HCPs, synced to enforce opt-outs across systems.
Tables Standard Postgres tables; the primary two-way sync target for app data.	⇄	Key Messages and CLM Content Approved content presented during calls, referenced in activity data.
Views Read-side projections exposed to outbound syncs.	⇄	Territories and Alignments Rep-to-account assignments, often fed from a roster or alignment system.
Materialized Views Precomputed result sets synced outward on refresh.	⇄	Events Medical events and speaker programs managed through Veeva's events capabilities.
Schemas Namespaces that scope which tables a sync reads and writes.	⇄	Approved Email Activity Sent-email records from Veeva Approved Email, used in engagement reporting.

What ships with Postgres Heroku ⇄ Veeva CRM

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Postgres Heroku or Veeva 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 Postgres Heroku or Veeva CRM record.

Observability

Monitoring

Track your Postgres Heroku ⇄ Veeva CRM sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Veeva CRM.

How the Postgres Heroku and Veeva CRM connectors work

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

Veeva CRM

Integration surface: Salesforce-platform APIs (REST, SOAP, Bulk) for classic Veeva CRM; Vault REST API for Vault CRM
Authentication: OAuth 2.0
Change detection: Polling on record modification timestamps; platform event streams where the underlying org enables them
Capabilities: read · write
Rate limits: Subject to the underlying platform's API request allocations, which are contract-dependent.

How it works

How to connect Postgres Heroku to Veeva 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.

01
Connect your apps

Authenticate Postgres Heroku and Veeva 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
Postgres Heroku connected
Veeva CRM connected

OAuth 2.0
SSH tunnel
SSL certificate
VPC peering
02
Choose tables

Pick the Postgres Heroku and Veeva 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 · Postgres Heroku ⇄ Veeva CRM

Customers 12,480
Sales Orders 8,213
Invoices 5,902
Items 1,344
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
Postgres Heroku Veeva CRM

Company company_name text
Email email text
Amount amount numeric
Created created_at timestamp

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FAQ

Postgres Heroku and Veeva 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

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

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