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CRM

Vitally to Xactly integration — real-time, two-way sync

Keep Vitally 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Vitally and Xactly

Run Vitally and Xactly side by side with the same accounts and contacts in both, whether they serve different teams or one is replacing the other.

Two CRMs in one company is more common than anyone plans for: an acquisition brings its own system, regions or business units standardize differently, or a migration is under way and both are live. In every case, some of the same companies and people exist in both systems, and every day of manual double entry pushes the copies further apart.

Stacksync syncs Note, Conversation, NPS Response, Custom Trait in Vitally with Credits, Transactions (Commission & Bonus), Participants (Payees), Positions & Titles in Xactly in real time and in both directions, with field-level mapping and matching on identifiers you choose. Update a record in either CRM and the other reflects it within seconds.

Common use cases

  • 01 Push billing and subscription changes from an ERP or billing system into Vitally to keep success playbooks accurate.
  • 02 Keep CS tasks and notes aligned between Vitally and ticketing or project tools.
  • 03 Mirror commission Transactions and Credits into a data warehouse to power rep-facing dashboards and comp-plan analytics without manual exports.
  • 04 Sync Participants, Positions, Titles, and Quotas from an HRIS/HCM and planning tools into Xactly so the org hierarchy and targets stay aligned with headcount changes.

Common sync patterns

Post-acquisition consolidation

Keep both CRMs accurate while the merged team decides on a target system, instead of freezing one and losing months of updates.

Migration with a parallel run

When one CRM is replacing the other, run both fully live until cutover, with no snapshot gap and no data freeze.

Divisional or regional split

Where each CRM serves a different team or region, sync just the shared accounts and contacts so handoffs and cross-sell work.

What you can sync between Vitally 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.

Vitally objects Xactly objects How this pairing syncs
Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. 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. Account is specific to Vitally and Positions & Titles to Xactly — each maps to any object or custom field on the other side.
User End users tied to accounts, including activity and custom traits. 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. User is specific to Vitally and Quotas / Targets to Xactly — each maps to any object or custom field on the other side.
Organization Parent organizations for hierarchical B2B account structures. Payment Summary (Payable) Approved payable amounts per participant per period; read as the output that feeds payroll and accounts payable, so effectively read-only. Organization is specific to Vitally and Payment Summary (Payable) to Xactly — each maps to any object or custom field on the other side.
Task CS tasks and follow-ups, readable and writable for workflow 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. Task is specific to Vitally and Products & Customers to Xactly — each maps to any object or custom field on the other side.
Note Account and user notes captured by success teams. 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. Note is specific to Vitally and Orders to Xactly — each maps to any object or custom field on the other side.
Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. 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. Conversation is specific to Vitally and Credits to Xactly — each maps to any object or custom field on the other side.

How changes propagate between Vitally 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.

Vitally Xactly Sub-second propagation

DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.

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

Xactly Vitally 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 written to Vitally through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
  • 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 Vitally ⇄ Xactly

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Vitally 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 Vitally or Xactly record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Vitally and Xactly connectors work

Vitally

Integration surface
REST API with cursor-based pagination (sortable by createdAt/updatedAt)
Authentication
API key via Basic Auth; keys created in Settings -> Integrations -> REST API and individually revocable
Change detection
Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates
Capabilities
read · write · webhooks
Rate limits
Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.

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 Vitally 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 Vitally 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
    Vitally connected
    Xactly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Vitally 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 · Vitally ⇄ 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
    Vitally Xactly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Vitally 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 434 integrations available for Vitally and Xactly.

Popular · 7 of 434
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