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Database ⇄ ERP

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

Keep Amazon DynamoDB 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.

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Why teams connect Amazon DynamoDB and Fishbowl Manufacturing

Give your engineers Fishbowl Manufacturing's data in Amazon DynamoDB: 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 Inventory, Sales orders, Purchase orders, Manufacture orders from Fishbowl Manufacturing into Amazon DynamoDB 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 Amazon DynamoDB sync back into Fishbowl Manufacturing with its validations respected.

Common use cases

  • 01 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 02 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.
  • 03 Push purchase orders from procurement tools into Fishbowl and sync receipts back on arrival.
  • 04 Sync e-commerce orders into Fishbowl as sales orders and return fulfillment status and tracking numbers.

Common sync patterns

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 Amazon DynamoDB, so jobs and triggers can respond as the business record changes.

Where Fishbowl Manufacturing is the HR system of record: people data for internal systems

Worker and org records stay current in Amazon DynamoDB for provisioning, access, and reporting systems that read from the database.

What you can sync between Amazon DynamoDB 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.

Amazon DynamoDB objects Fishbowl Manufacturing objects How this pairing syncs
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. Manufacture orders Production work whose status feeds planning dashboards. Items is specific to Amazon DynamoDB and Manufacture orders to Fishbowl Manufacturing — each maps to any object or custom field on the other side.
Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. Bills of materials Component structures read for costing and material planning. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Bills of materials to Fishbowl Manufacturing — each maps to any object or custom field on the other side.
Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. Customers Buyer records kept aligned with a CRM. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Customers to Fishbowl Manufacturing — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Vendors Supplier records synced with purchasing systems. DynamoDB Streams is specific to Amazon DynamoDB and Vendors to Fishbowl Manufacturing — each maps to any object or custom field on the other side.
Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. Locations Warehouses and location groups that partition inventory quantities. Global Tables is specific to Amazon DynamoDB and Locations to Fishbowl Manufacturing — each maps to any object or custom field on the other side.
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Parts The inventory-tracked entity; stock levels and costing hang off parts. Time to Live (TTL) is specific to Amazon DynamoDB and Parts to Fishbowl Manufacturing — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB 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.

Amazon DynamoDB Fishbowl Manufacturing Sub-second propagation

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

DeliveryEach detected change is written to Fishbowl Manufacturing through its API, with automatic retries and rate-limit backoff.

Fishbowl Manufacturing Amazon DynamoDB 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 Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • Fishbowl Manufacturing: Practical throughput is bounded by the Fishbowl server instance rather than a published quota.
What ships with Amazon DynamoDB ⇄ Fishbowl Manufacturing

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB 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 Amazon DynamoDB or Fishbowl Manufacturing record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ 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 Amazon DynamoDB and Fishbowl Manufacturing.

How the Amazon DynamoDB and Fishbowl Manufacturing connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

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

    Choose tables

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

Amazon DynamoDB and Fishbowl Manufacturing integration FAQ

SECURITY

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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.

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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 443 integrations available for Amazon DynamoDB and Fishbowl Manufacturing.

Popular · 4 of 443
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