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Database ⇄ CRM

IBM Db2 to Xactly integration — real-time, two-way sync

Keep IBM Db2 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect IBM Db2 and Xactly

Treat Xactly like part of your database: its records live in IBM Db2 as real tables, and writes in either place sync to the other in seconds.

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 Db2, where it can be queried and joined like everything else.

Stacksync mirrors Positions & Titles, Quotas / Targets, Payment Summary (Payable), Products & Customers from Xactly into Databases, Schemas, Tables, Views in IBM Db2 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.

Common use cases

  • 01 Replicate Products and Customer/Account master from CRM/ERP into Xactly so crediting rules resolve against consistent reference data.
  • 02 Mirror commission Transactions and Credits into a data warehouse to power rep-facing dashboards and comp-plan analytics without manual exports.
  • 03 Replicate Db2 tables into a cloud warehouse continuously instead of nightly batch extracts.
  • 04 Keep reference and master data aligned between Db2 and newer cloud databases during modernization projects.

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from Xactly become tables in IBM Db2 you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to IBM Db2 sync onto the matching records in Xactly, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Xactly API, limits, and retries.

What you can sync between IBM Db2 and Xactly

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 Db2 objects Xactly objects How this pairing syncs
Databases The connection target; each database holds the schemas a sync addresses. 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. Databases is specific to IBM Db2 and Positions & Titles to Xactly — each maps to any object or custom field on the other side.
Schemas Namespaces separating synced data from application and system objects. 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. Schemas is specific to IBM Db2 and Quotas / Targets to Xactly — each maps to any object or custom field on the other side.
Tables Primary read/write target for syncing rows with SaaS systems or other databases. Payment Summary (Payable) Approved payable amounts per participant per period; read as the output that feeds payroll and accounts payable, so effectively read-only. Tables is specific to IBM Db2 and Payment Summary (Payable) to Xactly — each maps to any object or custom field on the other side.
Views Read-only projections often used to expose curated slices to a sync. 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. Views is specific to IBM Db2 and Products & Customers to Xactly — each maps to any object or custom field on the other side.
Indexes Support fast key lookups on sync match columns. 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. Indexes is specific to IBM Db2 and Orders to Xactly — each maps to any object or custom field on the other side.
Stored Procedures Existing business logic sometimes invoked as part of write paths. 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. Stored Procedures is specific to IBM Db2 and Credits to Xactly — each maps to any object or custom field on the other side.

How changes propagate between IBM Db2 and Xactly

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.

IBM Db2 Xactly Sub-second propagation

DetectionChanges in IBM Db2 are captured at the source via change data capture — no polling loop against its API. Log-based CDC through IBM's replication tooling where licensed.

DeliveryEach detected change is applied to Xactly as a row-level write, with types converted between the two schemas.

Xactly IBM Db2 Interval-based propagation

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 Db2 as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • IBM Db2: No API rate limits; throughput is bounded by instance resources and workload management settings.
  • Xactly: Xactly does not publish numeric per-second rate limits. The Connect platform enforces query concurrency and long-running-query limits, so large extracts are paged and heavy loads/queries run as asynchronous Connect jobs (submit, then retrieve results) rather than row-by-row calls; batch loads are the supported path for high volume.
What ships with IBM Db2 ⇄ Xactly

Connect IBM Db2 and Xactly for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Db2–Xactly connection.

Real-time

Two-way sync

Changes in IBM Db2 or Xactly instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever IBM Db2 or Xactly data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single IBM Db2 or Xactly record.

Observability

Monitoring

Track your IBM Db2 ⇄ Xactly sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between IBM Db2 and Xactly.

How the IBM Db2 and Xactly connectors work

IBM Db2

Integration surface
SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions
Authentication
Database credentials, typically backed by OS or LDAP authentication
Change detection
Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by instance resources and workload management settings

Xactly

Integration surface
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.
Change detection
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.
Capabilities
read · write
Rate limits
Xactly does not publish numeric per-second rate limits. The Connect platform enforces query concurrency and long-running-query limits, so large extracts are paged and heavy loads/queries run as asynchronous Connect jobs (submit, then retrieve results) rather than row-by-row calls; batch loads are the supported path for high volume.
Xactly setup guide
How it works

How to connect IBM Db2 to Xactly — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate IBM Db2 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    IBM Db2 connected
    Xactly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the IBM Db2 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · IBM Db2 ⇄ Xactly
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    IBM Db2 Xactly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

IBM Db2 and Xactly integration FAQ

SECURITY

Security teams trust Stacksync

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.

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DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 475 integrations available for IBM Db2 and Xactly.

Popular · 6 of 475
All IBM Db2 integrations All Xactly integrations Browse all integrations
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