Two-way sync
Changes in Deposco or MySQL instantly reflect in both systems. No stale data, no manual imports.
Keep Deposco and MySQL 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 Warehouses / Locations, Customers, Items / SKUs, Inventory from Deposco into 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 MySQL sync back into Deposco with its validations respected.
Records from Deposco live in MySQL as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Deposco interface, limits, and retries.
Updates in Deposco arrive as row changes in MySQL, so jobs and triggers can respond as the business record changes.
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.
| Deposco objects | MySQL objects | How this pairing syncs | |
|---|---|---|---|
| Inventory On-hand and available quantities by warehouse and location, read frequently by storefront syncs. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Inventory is specific to Deposco and Primary and Unique Keys to MySQL — each maps to any object or custom field on the other side. | |
| Sales orders Orders flowing in from ERP or e-commerce systems for fulfillment. | JSON Columns Validated semi-structured payloads for nested SaaS data. | Sales orders is specific to Deposco and JSON Columns to MySQL — each maps to any object or custom field on the other side. | |
| Shipments Outbound shipment and tracking records synced back to order-origin systems. | Stored Procedures Server-side logic that can post-process synced rows. | Shipments is specific to Deposco and Stored Procedures to MySQL — each maps to any object or custom field on the other side. | |
| Purchase orders / ASNs Inbound expectations used to plan receiving. | Triggers An alternative change-capture mechanism when binlog access is unavailable. | Purchase orders / ASNs is specific to Deposco and Triggers to MySQL — each maps to any object or custom field on the other side. | |
| Receipts Confirmation of received inventory that updates stock positions. | Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | Receipts is specific to Deposco and Databases (Schemas) to MySQL — each maps to any object or custom field on the other side. | |
| Warehouses / Locations Facility and bin structures that scope inventory records. | Tables The primary sync target; rows map to records in connected systems. | Warehouses / Locations is specific to Deposco and Tables to MySQL — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Deposco for changes on an incremental schedule, reading only records changed since the previous pass. Polling on order and inventory endpoints, subject to the platform's integration patterns.
DeliveryEach detected change is applied to MySQL as a row-level write, with types converted between the two schemas.
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
DeliveryEach detected change is written to Deposco through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Deposco–MySQL connection.
Changes in Deposco or MySQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Deposco or MySQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Deposco or MySQL record.
Track your Deposco ⇄ MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Deposco and MySQL.
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 Deposco and MySQL 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 Deposco and MySQL 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 Deposco and MySQL: authenticate both systems, choose the objects to sync (such as Deposco's Inventory and Sales orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Deposco and MySQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Deposco: Polling on order and inventory endpoints, subject to the platform's integration patterns. On MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the MySQL side: JSON Columns, Stored Procedures, Triggers, Databases (Schemas), plus custom fields where MySQL exposes them. On the Deposco side: Warehouses / Locations, Customers, Items / SKUs, Inventory. 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.
Common patterns for Deposco and MySQL: Read ERP records with a query; Internal tools and automations without API code; React to ERP changes. Records from Deposco live in MySQL as ordinary tables or collections, joinable with the rest of your data.
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 339 integrations available for Deposco and MySQL.