Real-time
Two-way sync
Changes in Citus or Fishbowl Manufacturing instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
Citus to Fishbowl Manufacturing integration — real-time, two-way sync
Keep Citus 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 Celigo
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Citus and Fishbowl Manufacturing
Give your engineers Fishbowl Manufacturing's data in Citus: 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 Citus 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 Citus sync back into Fishbowl Manufacturing with its validations respected.
Common use cases
- 01 Sync high-volume event or tenant data from a Citus cluster into a warehouse for cross-tenant analytics.
- 02 Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.
- 03 Keep customers and vendors aligned between Fishbowl and a CRM.
- 04 Sync manufacture order status into planning dashboards or a data warehouse.
Common sync patterns
Read ERP records with a query
Records from Fishbowl Manufacturing live in Citus 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 Citus, so jobs and triggers can respond as the business record changes.
What you can sync between Citus 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.
| Citus objects | Fishbowl Manufacturing objects | How this pairing syncs | |
|---|---|---|---|
| Views Curated projections over distributed data, often used as read-only sync sources. | Bills of materials Component structures read for costing and material planning. | Views is specific to Citus and Bills of materials to Fishbowl Manufacturing — each maps to any object or custom field on the other side. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Customers Buyer records kept aligned with a CRM. | Sequences is specific to Citus and Customers to Fishbowl Manufacturing — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Vendors Supplier records synced with purchasing systems. | Distributed tables is specific to Citus and Vendors to Fishbowl Manufacturing — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Locations Warehouses and location groups that partition inventory quantities. | Reference tables is specific to Citus and Locations to Fishbowl Manufacturing — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Parts The inventory-tracked entity; stock levels and costing hang off parts. | Local tables is specific to Citus and Parts to Fishbowl Manufacturing — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Products The sellable entity linked to parts; external SKUs usually map here. | Schemas is specific to Citus and Products to Fishbowl Manufacturing — each maps to any object or custom field on the other side. |
How changes propagate between Citus and Fishbowl Manufacturing
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.
Citus Fishbowl Manufacturing Sub-second propagation
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
DeliveryEach detected change is written to Fishbowl Manufacturing through its API, with automatic retries and rate-limit backoff.
Fishbowl Manufacturing Citus Interval-based propagation
DetectionStacksync polls Fishbowl Manufacturing for changes on an incremental schedule, reading only records changed since the previous pass. Polling on last-modified fields.
DeliveryEach detected change is applied to Citus as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Fishbowl Manufacturing: Practical throughput is bounded by the Fishbowl server instance rather than a published quota.
What ships with Citus ⇄ Fishbowl Manufacturing
Connect Citus and Fishbowl Manufacturing for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Fishbowl Manufacturing connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus 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 Citus or Fishbowl Manufacturing record.
Observability
Monitoring
Track your Citus ⇄ 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 Citus and Fishbowl Manufacturing.
How the Citus and Fishbowl Manufacturing connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
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 Citus 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.
- 01
Connect your apps
Authenticate Citus 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.
Citus
connected
Fishbowl Manufacturing
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus 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.
objects · Citus ⇄ Fishbowl ManufacturingCustomers 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.
Citus Fishbowl ManufacturingCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and Fishbowl Manufacturing integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Citus and Fishbowl Manufacturing: authenticate both systems, choose the objects to sync (such as Citus's Views and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Citus: The managed cloud offering is Azure Cosmos DB for PostgreSQL, which is Citus under a Microsoft brand. Fishbowl Manufacturing: Fishbowl separates parts (what is tracked in inventory) from products (what is sold), and the two are linked; syncs must decide which entity an external SKU maps to. Stacksync's field mapping accounts for these differences between Citus and Fishbowl Manufacturing without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Citus and Fishbowl Manufacturing records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Fishbowl Manufacturing connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Fishbowl Manufacturing integration in-house.
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Yes — Stacksync ships production-grade connectors for both Citus and Fishbowl Manufacturing. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Citus: PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres. On Fishbowl Manufacturing: Polling on last-modified fields; Fishbowl does not provide webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
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