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Database ⇄ CRM

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

Keep Postgres Heroku 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 Postgres Heroku and Streak CRM

Treat Streak 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 Tasks, Email threads, Custom fields, Pipelines from Streak CRM into Schemas, Primary and Unique Keys, JSONB Columns, Sequences in Postgres Heroku 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

  • Hand off closed-won boxes to billing or fulfillment systems and sync status back into the pipeline
  • Keep contacts aligned between Streak and email marketing or enrichment tools
  • 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

Product events onto CRM records

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

Trigger workflows from CRM changes

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

What you can sync between Postgres Heroku 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.

Postgres Heroku objects Streak CRM objects
Materialized Views Precomputed result sets synced outward on refresh. Tasks To-dos attached to boxes for follow-up tracking.
Schemas Namespaces that scope which tables a sync reads and writes. Email threads Gmail threads linked to boxes, since the CRM lives inside the inbox.
Primary and Unique Keys Match keys for idempotent upserts from connected systems. Custom fields Per-pipeline field definitions that determine what data a box can hold.
JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Pipelines Define the process and the custom field schema that boxes in them carry.
Sequences Generate surrogate keys for rows created by inbound syncs. Boxes The core record (a deal, hire, or project) tracked through pipeline stages.
Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Stages Pipeline steps whose transitions are the usual trigger for downstream syncs.
What ships with Postgres Heroku ⇄ Streak CRM

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

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

Real-time

Two-way sync

Changes in Postgres Heroku or Streak 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 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 Postgres Heroku or Streak CRM record.

Observability

Monitoring

Track your Postgres Heroku ⇄ 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 Postgres Heroku and Streak CRM.

How the Postgres Heroku and Streak 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

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

    Choose tables

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

Postgres Heroku 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.

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 Postgres Heroku and Streak CRM.

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