Two-way sync
Changes in Amazon RDS or Xactly instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and Xactly 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 Participants (Payees), Positions & Titles, Quotas / Targets, Payment Summary (Payable) from Xactly into Databases, Schemas, Tables, Views in Amazon RDS with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Xactly 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.
Accounts, contacts, and custom objects from Xactly become tables in Amazon RDS you can join with application data directly.
Signup, usage, or lifecycle changes written to Amazon RDS sync onto the matching records in Xactly, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Xactly API, limits, and retries.
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 | Xactly objects | How this pairing syncs | |
|---|---|---|---|
| Tables The core sync target; rows map to records in connected SaaS systems. | Quotas / Targets Period quota and target values per position or plan; loaded from planning tools through Connect (write) and read for attainment reporting, so read and write. | Tables is specific to Amazon RDS and Quotas / Targets to Xactly — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Payment Summary (Payable) Approved payable amounts per participant per period; read as the output that feeds payroll and accounts payable, so effectively read-only. | Views is specific to Amazon RDS and Payment Summary (Payable) to Xactly — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Products & Customers Product and customer/account master used in crediting rules and reporting; loaded and updated from CRM/ERP through Connect (write) and read for lookups, so read and write. | Columns is specific to Amazon RDS and Products & Customers to Xactly — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Orders Sales order and transaction records loaded into Incent as the raw input for crediting and calculation; created and updated through Connect load and ETL steps (write) and read back for reconciliation, so read and write. | Primary and Unique Keys is specific to Amazon RDS and Orders to Xactly — 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. | Credits Crediting records that tie an order to a participant and position; system-calculated credits are read, while manual and adjustment credits are loaded through Connect, so read and write. | Read Replicas is specific to Amazon RDS and Credits to Xactly — each maps to any object or custom field on the other side. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | Transactions (Commission & Bonus) Calculated commission and bonus line items produced by Incent's calculation engine; read as the output of comp runs for reporting and downstream payout, so effectively read-only results. | Stored Procedures is specific to Amazon RDS and Transactions (Commission & Bonus) to Xactly — 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 applied to Xactly as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Xactly for changes on an incremental schedule, reading only records changed since the previous pass. No CDC log for external tools to consume.
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–Xactly connection.
Changes in Amazon RDS or Xactly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Xactly 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 Xactly record.
Track your Amazon RDS ⇄ Xactly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Xactly.
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 Xactly 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 Xactly 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 Xactly: 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon RDS and Xactly connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon RDS–Xactly integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon RDS and Xactly. 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 Xactly: No CDC log for external tools to consume. Incremental sync uses SQL predicates on modified/last-updated timestamp columns (for example WHERE modified_date > watermark) against Connect's queryable objects, or scheduled Connect ETL Pipelines that pull deltas since the last run. Xactly Connect has no outbound HTTP webhooks, so change detection is pull/ETL-based. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Xactly side: Participants (Payees), Positions & Titles, Quotas / Targets, Payment Summary (Payable), plus custom fields where Xactly exposes them. On the Amazon RDS side: Databases, Schemas, Tables, Views. 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.
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 477 integrations available for Amazon RDS and Xactly.