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Data warehouse ⇄ ERP

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

Keep BigQuery and Fishbowl Manufacturing 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 BigQuery and Fishbowl Manufacturing

Put Fishbowl Manufacturing's records in BigQuery as live tables for reporting and analysis, without extract jobs, and write results back where Fishbowl Manufacturing can use them.

ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Fishbowl Manufacturing carries financials, operations, workforce data, or all three, the analysis belongs in BigQuery next to everything else the company measures.

Stacksync syncs Sales orders, Purchase orders, Manufacture orders, Bills of materials from Fishbowl Manufacturing into tables in BigQuery continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in BigQuery can be written back to fields in Fishbowl Manufacturing where that is useful.

Common use cases

  • Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
  • Activate modeled BigQuery tables by syncing computed attributes back into sales and marketing tools
  • Mirror on-hand inventory by location into sales channels to prevent overselling.
  • Keep customers and vendors aligned between Fishbowl and a CRM.

Where Fishbowl Manufacturing is the HR system of record: workforce analytics

Worker and organization data syncs into BigQuery for headcount, cost, and planning analysis alongside other company data.

Where Fishbowl Manufacturing runs operations: order and supply analysis

Operational records become queryable tables in BigQuery, joinable with sales and finance data.

Group reporting across systems

Combine Fishbowl Manufacturing's records with data synced from other systems in BigQuery for consolidated views no single system can produce.

What you can sync between BigQuery and Fishbowl Manufacturing

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.

BigQuery objects Fishbowl Manufacturing objects
Tables The syncable unit: only tables can be synced per the Stacksync docs. Customers Buyer records kept aligned with a CRM.
Partitioned tables Synced like regular tables; partition columns map to target fields. Vendors Supplier records synced with purchasing systems.
Clustered tables Supported; clustering is transparent to the sync. Locations Warehouses and location groups that partition inventory quantities.
Datasets Organizational container — you pick which dataset’s tables to sync. Parts The inventory-tracked entity; stock levels and costing hang off parts.
Projects Connection scope: the service account grants access per project. Products The sellable entity linked to parts; external SKUs usually map here.
What ships with BigQuery ⇄ Fishbowl Manufacturing

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Fishbowl Manufacturing 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 BigQuery or Fishbowl Manufacturing record.

Observability

Monitoring

Track your BigQuery ⇄ Fishbowl Manufacturing sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Fishbowl Manufacturing.

How the BigQuery and Fishbowl Manufacturing connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

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
How it works

How to connect BigQuery to Fishbowl Manufacturing — 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 BigQuery and Fishbowl Manufacturing 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
    BigQuery connected
    Fishbowl Manufacturing connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

BigQuery and Fishbowl Manufacturing 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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