Real-time
Two-way sync
Changes in Postgres Heroku or Snapfulfil instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
Postgres Heroku to Snapfulfil integration — real-time, two-way sync
Keep Postgres Heroku and Snapfulfil 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
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 Snapfulfil
Give your engineers Snapfulfil's data in Postgres Heroku: read it with normal queries, write back through the sync, and skip the ERP API entirely.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Purchase orders / ASNs, Items (SKUs), Inventory balances, Shipments from Snapfulfil into Postgres Heroku and keeps both sides consistent in real time. Whatever Snapfulfil is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Postgres Heroku sync back into Snapfulfil with its validations respected.
Common use cases
- 01 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 02 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 03 Push sales orders from an ERP or e-commerce platform into Snapfulfil for fulfillment without file drops
- 04 Sync shipment confirmations and tracking numbers back to the order management system as orders dispatch
Common sync patterns
React to ERP changes
Updates in Snapfulfil arrive as row changes in Postgres Heroku, so jobs and triggers can respond as the business record changes.
Where Snapfulfil is the HR system of record: people data for internal systems
Worker and org records stay current in Postgres Heroku for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from Postgres Heroku back into Snapfulfil, keeping the ERP authoritative.
What you can sync between Postgres Heroku and Snapfulfil
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 | Snapfulfil objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed result sets synced outward on refresh. | Warehouse locations Bin and zone structure referenced by stock and movement records. | Materialized Views is specific to Postgres Heroku and Warehouse locations to Snapfulfil — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that scope which tables a sync reads and writes. | Returns Inbound customer returns processed back into stock or quarantine. | Schemas is specific to Postgres Heroku and Returns to Snapfulfil — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Sales orders Orders pushed into the WMS for picking, packing, and dispatch. | Primary and Unique Keys is specific to Postgres Heroku and Sales orders to Snapfulfil — each maps to any object or custom field on the other side. | |
| JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Purchase orders / ASNs Inbound expectations that drive receiving and putaway. | JSONB Columns is specific to Postgres Heroku and Purchase orders / ASNs to Snapfulfil — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Items (SKUs) The item master, usually sourced from the ERP or storefront. | Sequences is specific to Postgres Heroku and Items (SKUs) to Snapfulfil — each maps to any object or custom field on the other side. | |
| Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Inventory balances On-hand and allocated stock, read back to keep the ERP and selling channels accurate. | Follower Databases is specific to Postgres Heroku and Inventory balances to Snapfulfil — each maps to any object or custom field on the other side. |
How changes propagate between Postgres Heroku and Snapfulfil
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.
Postgres Heroku Snapfulfil Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Snapfulfil through its API, with automatic retries and rate-limit backoff.
Snapfulfil Postgres Heroku Interval-based propagation
DetectionStacksync polls Snapfulfil for changes on an incremental schedule, reading only records changed since the previous pass. Polling, subject to the platform's API rate limits.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
- Snapfulfil: Specific quotas are not publicly standardized; treat throughput as instance-dependent.
What ships with Postgres Heroku ⇄ Snapfulfil
Connect Postgres Heroku and Snapfulfil for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Snapfulfil connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Postgres Heroku or Snapfulfil 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 Snapfulfil record.
Observability
Monitoring
Track your Postgres Heroku ⇄ Snapfulfil 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 Snapfulfil.
How the Postgres Heroku and Snapfulfil 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
Snapfulfil
- Integration surface
- REST-style web service API
- Authentication
- API credentials issued for the warehouse instance
- Change detection
- Polling, subject to the platform's API rate limits
- Capabilities
- read · write
- Rate limits
- Specific quotas are not publicly standardized; treat throughput as instance-dependent
How it works
How to connect Postgres Heroku to Snapfulfil — 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 Snapfulfil with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Postgres Heroku
connected
Snapfulfil
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Postgres Heroku and Snapfulfil 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.
objects · Postgres Heroku ⇄ SnapfulfilCustomers 12,480Sales Orders 8,213Invoices 5,902Items 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.
Postgres Heroku SnapfulfilCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Postgres Heroku and Snapfulfil integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Postgres Heroku and Snapfulfil: authenticate both systems, choose the objects to sync (such as Postgres Heroku's Materialized Views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Postgres Heroku and Snapfulfil. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. On Snapfulfil: Polling, subject to the platform's API rate limits. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Postgres Heroku side: Tables, Views, Materialized Views, Schemas, plus custom fields where Postgres Heroku exposes them. On the Snapfulfil side: Purchase orders / ASNs, Items (SKUs), Inventory balances, Shipments. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
-
Common patterns for Postgres Heroku and Snapfulfil: React to ERP changes; Where Snapfulfil is the HR system of record: people data for internal systems; Controlled write-back. Updates in Snapfulfil arrive as row changes in Postgres Heroku, so jobs and triggers can respond as the business record changes.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 219 integrations available for Postgres Heroku and Snapfulfil.
Popular · 4 of 219
-
Postgres Heroku ⇄ Sage 300 - Postgres Heroku ⇄ Sage Intacct
- Postgres Heroku ⇄ Sage X3
-
Postgres Heroku ⇄ SAP
No integrations match .
