Real-time
Two-way sync
Changes in AWS Aurora MySQL or Deposco instantly reflect in both systems. No stale data, no manual imports.
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Database ⇄ ERP
AWS Aurora MySQL to Deposco integration — real-time, two-way sync
Keep AWS Aurora MySQL 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 AWS Aurora MySQL and Deposco
Give your engineers Deposco's data in AWS Aurora MySQL: 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 Items / SKUs, Inventory, Sales orders, Shipments from Deposco into AWS Aurora MySQL 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 AWS Aurora MySQL sync back into Deposco with its validations respected.
Common use cases
- Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.
- Let operations teams edit records in a spreadsheet-style tool with changes written back to Aurora safely.
- Push sales orders from an ERP or e-commerce platform into Deposco for warehouse fulfillment.
- Sync available-to-promise inventory to storefronts and marketplaces to prevent overselling.
Where Deposco is the HR system of record: people data for internal systems
Worker and org records stay current in AWS Aurora MySQL for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from AWS Aurora MySQL back into Deposco, keeping the ERP authoritative.
Read ERP records with a query
Records from Deposco live in AWS Aurora MySQL as ordinary tables or collections, joinable with the rest of your data.
What you can sync between AWS Aurora MySQL 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.
| AWS Aurora MySQL objects | Deposco objects | |
|---|---|---|
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Shipments Outbound shipment and tracking records synced back to order-origin systems. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Purchase orders / ASNs Inbound expectations used to plan receiving. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Receipts Confirmation of received inventory that updates stock positions. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Warehouses / Locations Facility and bin structures that scope inventory records. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Customers Ship-to parties referenced on orders and shipments. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Items / SKUs Product master records that fulfillment operations pick and ship against. |
What ships with AWS Aurora MySQL ⇄ Deposco
Connect AWS Aurora MySQL and Deposco for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Deposco connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL 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 AWS Aurora MySQL or Deposco record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ Deposco sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Deposco.
How the AWS Aurora MySQL and Deposco connectors work
AWS Aurora MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
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 AWS Aurora MySQL 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.
- 01
Connect your apps
Authenticate AWS Aurora MySQL 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.
AWS Aurora MySQL
connected
Deposco
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL 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.
objects · AWS Aurora MySQL ⇄ DeposcoCustomers 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.
AWS Aurora MySQL DeposcoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Deposco integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Deposco: 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.
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On the AWS Aurora MySQL side: Primary keys and indexes, Views, Foreign keys, Stored procedures and triggers, plus custom fields where AWS Aurora MySQL exposes them. On the Deposco side: Items / SKUs, Inventory, Sales orders, Shipments. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for AWS Aurora MySQL and Deposco: Where Deposco is the HR system of record: people data for internal systems; Controlled write-back; Read ERP records with a query. Worker and org records stay current in AWS Aurora MySQL for provisioning, access, and reporting systems that read from the database.
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AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Deposco: 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). Stacksync manages authentication, retries, and rate limits on both sides.
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AWS Aurora MySQL: Binlog-based CDC requires binary logging to be enabled through the cluster parameter group; once on, changes can be captured without querying production tables. Deposco: Deposco's Bright Suite combines warehouse management, order management, and fulfillment in one platform, so order, inventory, and shipment data share a single system of record. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Deposco without custom code.
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 AWS Aurora MySQL and Deposco.
Popular · 8 of 386
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AWS Aurora MySQL ⇄ Körber WMS -
AWS Aurora MySQL ⇄ Linnworks -
AWS Aurora MySQL ⇄ Logiwa WMS -
AWS Aurora MySQL ⇄ Macola ERP -
Deposco ⇄ OCI Database (Oracle Cloud) -
Deposco ⇄ OpenSearch -
Deposco ⇄ Oracle DB -
Deposco ⇄ RavenDB
No integrations match .
