Two-way sync
Changes in IBM Informix or Xactly instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Informix 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 IBM Informix, where it can be queried and joined like everything else.
Stacksync mirrors Orders, Credits, Transactions (Commission & Bonus), Participants (Payees) from Xactly into Logical logs, Databases, Tables, Rows in IBM Informix 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.
Field and stage updates in Xactly arrive as row changes in IBM Informix, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Xactly become tables in IBM Informix you can join with application data directly.
Signup, usage, or lifecycle changes written to IBM Informix sync onto the matching records in Xactly, giving go-to-market teams live product context.
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.
| IBM Informix objects | Xactly objects | How this pairing syncs | |
|---|---|---|---|
| Logical logs The transaction log that Informix's CDC interface reads committed changes from. | 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. | Logical logs is specific to IBM Informix and Transactions (Commission & Bonus) to Xactly — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope a sync connection. | Participants (Payees) Sales reps and payees keyed to positions; loaded and updated from HRIS/HCM source data through Connect (write) and read for roster reporting, so read and write. | Databases is specific to IBM Informix and Participants (Payees) to Xactly — each maps to any object or custom field on the other side. | |
| Tables Relational tables mapped directly to sync targets. | Positions & Titles Org-hierarchy positions and titles that credits and quotas roll up to; loaded and maintained through Connect (write) and read to resolve the hierarchy, so read and write. | Tables is specific to IBM Informix and Positions & Titles to Xactly — each maps to any object or custom field on the other side. | |
| Rows The unit of read and write, keyed by primary key. | 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. | Rows is specific to IBM Informix and Quotas / Targets to Xactly — each maps to any object or custom field on the other side. | |
| Views Read-only projections used to shape outbound data. | 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 IBM Informix and Payment Summary (Payable) to Xactly — each maps to any object or custom field on the other side. | |
| TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. | 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. | TimeSeries objects is specific to IBM Informix and Products & Customers 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 IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.
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 IBM Informix as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Informix–Xactly connection.
Changes in IBM Informix or Xactly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Informix 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 IBM Informix or Xactly record.
Track your IBM Informix ⇄ Xactly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Informix 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 IBM Informix 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 IBM Informix 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 IBM Informix and Xactly: authenticate both systems, choose the objects to sync (such as IBM Informix's Logical logs and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on IBM Informix: Informix's Change Data Capture API reading committed changes from logical logs; 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: Orders, Credits, Transactions (Commission & Bonus), Participants (Payees), plus custom fields where Xactly exposes them. On the IBM Informix side: Logical logs, Databases, Tables, Rows. 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 IBM Informix and Xactly: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Xactly arrive as row changes in IBM Informix, ready to drive jobs and notifications.
IBM Informix: SQL over JDBC/ODBC drivers; DRDA connectivity is also supported. Authentication: Database credentials. Xactly: Xactly Connect REST API v2 (JSON), plus ODBC/JDBC drivers over the same ANSI-SQL data model. Incent data is exposed as SQL-queryable objects (for example xactly_order, xactly_credit, xactly_transaction, xactly_payment); data is loaded and extracted through Connect load/query steps and server-side ETL Pipelines. The base host is region/pod-specific (for example https://<pod>.xactlycorp.com). Authentication: OAuth 2.0 via the Xactly Connect API Gateway (bearer tokens issued on behalf of an Xactly Incent user), with HTTP Basic authentication using a dedicated Xactly Connect service-user's credentials also supported for the Connect REST API v2. The connecting user needs Connect/API access plus the relevant object permissions in Incent. Stacksync manages authentication, retries, and rate limits on both sides.
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 479 integrations available for IBM Informix and Xactly.