Two-way sync
Changes in AWS Aurora MySQL or Fishbowl Manufacturing instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL 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.
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 Inventory, Sales orders, Purchase orders, Manufacture orders from Fishbowl Manufacturing into AWS Aurora MySQL 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 AWS Aurora MySQL sync back into Fishbowl Manufacturing with its validations respected.
Scripts and services read and write the synced tables; Stacksync handles the Fishbowl Manufacturing interface, limits, and retries.
Updates in Fishbowl Manufacturing arrive as row changes in AWS Aurora MySQL, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in AWS Aurora MySQL for provisioning, access, and reporting systems that read from the database.
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.
| AWS Aurora MySQL objects | Fishbowl Manufacturing objects | |
|---|---|---|
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Manufacture orders Production work whose status feeds planning dashboards. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Bills of materials Component structures read for costing and material planning. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Customers Buyer records kept aligned with a CRM. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Vendors Supplier records synced with purchasing systems. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Locations Warehouses and location groups that partition inventory quantities. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Parts The inventory-tracked entity; stock levels and costing hang off parts. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Fishbowl Manufacturing connection.
Changes in AWS Aurora MySQL or Fishbowl Manufacturing instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL or Fishbowl Manufacturing data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora MySQL or Fishbowl Manufacturing record.
Track your AWS Aurora MySQL ⇄ Fishbowl Manufacturing sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Fishbowl Manufacturing.
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.
Authenticate AWS Aurora MySQL 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.
Pick the AWS Aurora MySQL 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Fishbowl Manufacturing: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Foreign keys and Stored procedures and triggers), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and Fishbowl Manufacturing connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–Fishbowl Manufacturing integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Fishbowl Manufacturing. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. 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.
On the AWS Aurora MySQL side: Foreign keys, Stored procedures and triggers, Databases (schemas), Tables, plus custom fields where AWS Aurora MySQL exposes them. On the Fishbowl Manufacturing side: Inventory, Sales orders, Purchase orders, Manufacture orders. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora MySQL and Fishbowl Manufacturing.