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ERP ⇄ Database

Fishbowl Manufacturing to Google Cloud SQL integration — real-time, two-way sync

Keep Fishbowl Manufacturing and Google Cloud SQL 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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Migrated from Mulesoft
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Why teams connect Fishbowl Manufacturing and Google Cloud SQL

Give your engineers Fishbowl Manufacturing's data in Google Cloud SQL: 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 Products, Inventory, Sales orders, Purchase orders from Fishbowl Manufacturing into Google Cloud SQL 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 Google Cloud SQL sync back into Fishbowl Manufacturing with its validations respected.

Common use cases

  • Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.
  • Sync manufacture order status into planning dashboards or a data warehouse.
  • Push purchase orders from procurement tools into Fishbowl and sync receipts back on arrival.

Read ERP records with a query

Records from Fishbowl Manufacturing live in Google Cloud SQL 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.

React to ERP changes

Updates in Fishbowl Manufacturing arrive as row changes in Google Cloud SQL, so jobs and triggers can respond as the business record changes.

What you can sync between Fishbowl Manufacturing and Google Cloud SQL

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 Google Cloud SQL objects
Manufacture orders Production work whose status feeds planning dashboards. Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to.
Bills of materials Component structures read for costing and material planning. Databases Scope the tables included in a sync configuration.
Customers Buyer records kept aligned with a CRM. Schemas Namespace tables in PostgreSQL and SQL Server instances.
Vendors Supplier records synced with purchasing systems. Tables Mapped directly to sync targets; schema changes can be propagated.
Locations Warehouses and location groups that partition inventory quantities. Rows Read and written by primary key during each sync cycle.
Parts The inventory-tracked entity; stock levels and costing hang off parts. Views Read-only sources for shaping data before syncing it out.
What ships with Fishbowl Manufacturing ⇄ Google Cloud SQL

Connect Fishbowl Manufacturing and Google Cloud SQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Fishbowl Manufacturing–Google Cloud SQL connection.

Real-time

Two-way sync

Changes in Fishbowl Manufacturing or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Fishbowl Manufacturing or Google Cloud SQL 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 Google Cloud SQL record.

Observability

Monitoring

Track your Fishbowl Manufacturing ⇄ Google Cloud SQL 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 Google Cloud SQL.

How the Fishbowl Manufacturing and Google Cloud SQL 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

Google Cloud SQL

Integration surface
Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management
Authentication
Database credentials; IAM database authentication is available for MySQL and PostgreSQL
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.
How it works

How to connect Fishbowl Manufacturing to Google Cloud SQL — 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 Google Cloud SQL 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
    Google Cloud SQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Fishbowl Manufacturing and Google Cloud SQL 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 ⇄ Google Cloud SQL
    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 Google Cloud SQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Fishbowl Manufacturing and Google Cloud SQL 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

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Fishbowl Manufacturing and Google Cloud SQL.

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