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Database ⇄ ERP

Amazon Aurora to Deposco integration — real-time, two-way sync

Keep Amazon Aurora and Deposco 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 Amazon Aurora and Deposco

Give your engineers Deposco's data in Amazon Aurora: 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 Customers, Items / SKUs, Inventory, Sales orders from Deposco into Amazon Aurora and keeps both sides consistent in real time. Whatever Deposco 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 Aurora sync back into Deposco with its validations respected.

Common use cases

  • Consolidate several Aurora clusters into one reporting database.
  • Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.
  • Land fulfillment and shipment data in a warehouse for SLA, carrier, and throughput reporting.
  • Sync order status and shipment tracking from Deposco back to a CRM or customer portal so support sees fulfillment state.

React to ERP changes

Updates in Deposco arrive as row changes in Amazon Aurora, so jobs and triggers can respond as the business record changes.

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

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

Controlled write-back

Choose exactly which tables and fields may flow from Amazon Aurora back into Deposco, keeping the ERP authoritative.

What you can sync between Amazon Aurora and Deposco

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 Aurora objects Deposco objects
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Warehouses / Locations Facility and bin structures that scope inventory records.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Customers Ship-to parties referenced on orders and shipments.
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Items / SKUs Product master records that fulfillment operations pick and ship against.
Databases Logical databases within a cluster that scope a sync connection. Inventory On-hand and available quantities by warehouse and location, read frequently by storefront syncs.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Sales orders Orders flowing in from ERP or e-commerce systems for fulfillment.
Tables Relational tables synced bi-directionally at row level. Shipments Outbound shipment and tracking records synced back to order-origin systems.
What ships with Amazon Aurora ⇄ Deposco

Connect Amazon Aurora and Deposco for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Deposco connection.

Real-time

Two-way sync

Changes in Amazon Aurora or Deposco instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Deposco 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 Aurora or Deposco record.

Observability

Monitoring

Track your Amazon Aurora ⇄ Deposco sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Deposco.

How the Amazon Aurora and Deposco connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

Deposco

Integration surface
REST API plus file-based interfaces (EDI and flat file) common to WMS integrations
Authentication
API credentials issued per integration (API key or basic authentication)
Change detection
Polling on order and inventory endpoints, subject to the platform's integration patterns
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits
How it works

How to connect Amazon Aurora to Deposco — 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 Aurora and Deposco 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 Aurora connected
    Deposco connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and Deposco 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 Aurora ⇄ Deposco
    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 Aurora Deposco
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon Aurora and Deposco 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

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Amazon Aurora and Deposco.

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