Two-way sync
Changes in Amazon RDS or Infor CRM instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and Infor CRM in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Amazon RDS, where it can be queried and joined like everything else.
Stacksync mirrors Opportunities, Tickets, Activities, Campaigns from Infor CRM into Views, Columns, Primary and Unique Keys, Read Replicas in Amazon RDS with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Infor CRM with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Signup, usage, or lifecycle changes written to Amazon RDS sync onto the matching records in Infor CRM, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Infor CRM API, limits, and retries.
Field and stage updates in Infor CRM arrive as row changes in Amazon RDS, ready to drive jobs and notifications.
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 | Infor CRM objects | How this pairing syncs | |
|---|---|---|---|
| Tables The core sync target; rows map to records in connected SaaS systems. | Contacts Person records synced with marketing and support tools. | Tables is specific to Amazon RDS and Contacts to Infor CRM — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Leads Unqualified records synced in from marketing sources. | Views is specific to Amazon RDS and Leads to Infor CRM — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Opportunities Pipeline records synced out for forecasting and reporting. | Columns is specific to Amazon RDS and Opportunities to Infor CRM — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Tickets Service records synced with helpdesk and field service systems. | Primary and Unique Keys is specific to Amazon RDS and Tickets to Infor CRM — 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. | Activities Calls, meetings, and tasks synced for engagement reporting. | Read Replicas is specific to Amazon RDS and Activities to Infor CRM — each maps to any object or custom field on the other side. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | Campaigns Marketing containers linked to leads and opportunities. | Stored Procedures is specific to Amazon RDS and Campaigns to Infor CRM — 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 Infor CRM through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Infor CRM for changes on an incremental schedule, reading only records changed since the previous pass. Polling on modified timestamps.
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–Infor CRM connection.
Changes in Amazon RDS or Infor CRM instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Infor CRM 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 Infor CRM record.
Track your Amazon RDS ⇄ Infor CRM sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Infor CRM.
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 Infor CRM 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 Infor CRM 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 Infor CRM: authenticate both systems, choose the objects to sync (such as Amazon RDS's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Amazon RDS and Infor CRM. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. On Infor CRM: Polling on modified timestamps; no log-based CDC on the API surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Infor CRM side: Opportunities, Tickets, Activities, Campaigns, plus custom fields where Infor CRM exposes them. On the Amazon RDS side: Views, Columns, Primary and Unique Keys, Read Replicas. 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 Amazon RDS and Infor CRM: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Amazon RDS sync onto the matching records in Infor CRM, giving go-to-market teams live product context.
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 470 integrations available for Amazon RDS and Infor CRM.