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Data warehouse ⇄ ERP

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

Keep Databricks 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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Migrated from Mulesoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Databricks and Fishbowl Manufacturing

Put Fishbowl Manufacturing's records in Databricks 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 Databricks next to everything else the company measures.

Stacksync syncs Customers, Vendors, Locations, Parts from Fishbowl Manufacturing into tables in Databricks continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Databricks can be written back to fields in Fishbowl Manufacturing where that is useful.

Common use cases

  • Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • Push purchase orders from procurement tools into Fishbowl and sync receipts back on arrival.
  • Sync e-commerce orders into Fishbowl as sales orders and return fulfillment status and tracking numbers.

Group reporting across systems

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

Write-back where Fishbowl Manufacturing exposes writable fields

Classifications or reference values computed in Databricks sync back onto the corresponding records in Fishbowl Manufacturing.

Where Fishbowl Manufacturing holds the books: finance reporting from live data

Financial records land in Databricks as they change, so period-end reporting queries current numbers rather than last night's extract.

What you can sync between Databricks 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.

Databricks objects Fishbowl Manufacturing objects
Volumes Unity Catalog file storage used for staging bulk loads. Purchase orders Pushed from procurement tools; receipts sync back on arrival.
SQL Warehouses The compute endpoint a sync connects to for query execution. Manufacture orders Production work whose status feeds planning dashboards.
Change Data Feed Row-level change records on Delta tables that drive incremental reads. Bills of materials Component structures read for costing and material planning.
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Customers Buyer records kept aligned with a CRM.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Vendors Supplier records synced with purchasing systems.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Locations Warehouses and location groups that partition inventory quantities.
What ships with Databricks ⇄ Fishbowl Manufacturing

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks 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 Databricks or Fishbowl Manufacturing record.

Observability

Monitoring

Track your Databricks ⇄ 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 Databricks and Fishbowl Manufacturing.

How the Databricks and Fishbowl Manufacturing connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

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

    Choose tables

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

Databricks 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.

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 Databricks and Fishbowl Manufacturing.

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