Two-way sync
Changes in Amazon RDS or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and DEAR Inventory 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 Customers, Suppliers, Stock adjustments and transfers, Assemblies / Production from DEAR Inventory into Amazon RDS and keeps both sides consistent in real time. Whatever DEAR Inventory 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 RDS sync back into DEAR Inventory with its validations respected.
Worker and org records stay current in Amazon RDS for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from Amazon RDS back into DEAR Inventory, keeping the ERP authoritative.
Records from DEAR Inventory live in Amazon RDS as ordinary tables or collections, joinable with the rest of your data.
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 RDS objects | DEAR Inventory objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces within a database used to isolate synced tables. | Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | Schemas is specific to Amazon RDS and Products to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | Tables is specific to Amazon RDS and Stock levels to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | Views is specific to Amazon RDS and Sale orders to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | Columns is specific to Amazon RDS and Purchase orders to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Customers Buyer records aligned with CRM and accounting counterparts. | Primary and Unique Keys is specific to Amazon RDS and Customers to DEAR Inventory — each maps to any object or custom field on the other side. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | Suppliers Vendor records referenced on purchase orders. | Read Replicas is specific to Amazon RDS and Suppliers to DEAR Inventory — 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.
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is written to DEAR Inventory through its API, with automatic retries and rate-limit backoff.
DetectionDEAR Inventory notifies Stacksync of record changes through webhook events. Polling with modified-since filters.
DeliveryEach detected change is applied to Amazon RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–DEAR Inventory connection.
Changes in Amazon RDS or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or DEAR Inventory data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon RDS or DEAR Inventory record.
Track your Amazon RDS ⇄ DEAR Inventory sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and DEAR Inventory.
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 Amazon RDS and DEAR Inventory 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 Amazon RDS and DEAR Inventory 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 Amazon RDS and DEAR Inventory: authenticate both systems, choose the objects to sync (such as Amazon RDS's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Amazon RDS and DEAR Inventory: Where DEAR Inventory 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 Amazon RDS for provisioning, access, and reporting systems that read from the database.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon RDS: RDS is a managed hosting layer, not a separate API: clients connect with standard engine drivers at the instance endpoint. DEAR Inventory: DEAR Systems was acquired by Cin7 and the product now operates as Cin7 Core; the API and data model carried over from DEAR. Stacksync's field mapping accounts for these differences between Amazon RDS and DEAR Inventory without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon RDS and DEAR Inventory records are not retained after a sync operation.
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 358 integrations available for Amazon RDS and DEAR Inventory.