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ERP ⇄ Database

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

Keep Fishbowl Manufacturing 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

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 Fishbowl Manufacturing and Postgres Heroku

Give your engineers Fishbowl Manufacturing'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 Vendors, Locations, Parts, Products from Fishbowl Manufacturing into Postgres Heroku and keeps both sides consistent in real time. Whatever Fishbowl Manufacturing 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 Fishbowl Manufacturing with its validations respected.

Common use cases

  • Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
  • Keep several Heroku app databases aligned with one system of record
  • Mirror on-hand inventory by location into sales channels to prevent overselling.
  • Keep customers and vendors aligned between Fishbowl and a CRM.

Controlled write-back

Choose exactly which tables and fields may flow from Postgres Heroku back into Fishbowl Manufacturing, keeping the ERP authoritative.

Read ERP records with a query

Records from Fishbowl Manufacturing live in Postgres Heroku as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Fishbowl Manufacturing interface, limits, and retries.

What you can sync between Fishbowl Manufacturing 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.

Fishbowl Manufacturing objects Postgres Heroku objects
Customers Buyer records kept aligned with a CRM. Materialized Views Precomputed result sets synced outward on refresh.
Vendors Supplier records synced with purchasing systems. Schemas Namespaces that scope which tables a sync reads and writes.
Locations Warehouses and location groups that partition inventory quantities. Primary and Unique Keys Match keys for idempotent upserts from connected systems.
Parts The inventory-tracked entity; stock levels and costing hang off parts. JSONB Columns Semi-structured payloads for nested SaaS objects and metadata.
Products The sellable entity linked to parts; external SKUs usually map here. Sequences Generate surrogate keys for rows created by inbound syncs.
Inventory Quantity by part and location, mirrored out to sales channels to prevent overselling. Follower Databases Heroku-managed read replicas usable as low-impact sync sources.
What ships with Fishbowl Manufacturing ⇄ Postgres Heroku

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Fishbowl Manufacturing 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 Fishbowl Manufacturing or Postgres Heroku record.

Observability

Monitoring

Track your Fishbowl Manufacturing ⇄ 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 Fishbowl Manufacturing and Postgres Heroku.

How the Fishbowl Manufacturing and Postgres Heroku connectors work

Fishbowl Manufacturing

Integration surface
REST API on current versions; older installs expose an XML-over-socket API
Authentication
Application credentials plus a named Fishbowl user login that issues a session token
Change detection
Polling on last-modified fields; Fishbowl does not provide webhooks
Capabilities
read · write
Rate limits
Practical throughput is bounded by the Fishbowl server instance rather than a published quota

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

    Choose tables

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

Fishbowl Manufacturing 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

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