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Data warehouse ⇄ CRM

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

Keep StarRocks 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 StarRocks and Xactly

Sync Xactly into StarRocks continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Participants (Payees), Positions & Titles, Quotas / Targets, Payment Summary (Payable) from Xactly land in StarRocks as live tables, updated within seconds, and columns computed in StarRocks write back to fields in Xactly. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • 01 Push approved Payment Summary amounts from Incent into a payroll or accounts-payable system so payouts are paid from the mastered comp result.
  • 02 Replicate Products and Customer/Account master from CRM/ERP into Xactly so crediting rules resolve against consistent reference data.
  • 03 Land CRM and ERP records into StarRocks to serve low-latency operational dashboards
  • 04 Continuously apply upserts from operational databases into Primary Key tables to keep analytics current

Common sync patterns

CRM analytics on live data

Accounts, contacts, and activity from Xactly are queryable in StarRocks moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in StarRocks appear as fields in Xactly, where the people working accounts actually see them.

A single customer view

Join Xactly's relationship data with billing, product, and support data in StarRocks to build the customer picture the CRM alone cannot hold.

What you can sync between StarRocks 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.

StarRocks objects Xactly objects How this pairing syncs
Databases Top-level namespaces addressed exactly as in MySQL clients. 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 StarRocks and Positions & Titles to Xactly — each maps to any object or custom field on the other side.
Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. 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 StarRocks and Quotas / Targets to Xactly — each maps to any object or custom field on the other side.
Materialized views Automatically maintained rollups used to accelerate queries on synced 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. Materialized views is specific to StarRocks and Payment Summary (Payable) to Xactly — each maps to any object or custom field on the other side.
Views Logical views for shaping analytical reads. 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 StarRocks and Products & Customers to Xactly — each maps to any object or custom field on the other side.
Partitions Time or range partitions that scope loads and retention. 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. Partitions is specific to StarRocks and Orders to Xactly — each maps to any object or custom field on the other side.
Columns Columnar storage with types mapped from source systems during 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. Columns is specific to StarRocks and Credits to Xactly — each maps to any object or custom field on the other side.

How changes propagate between StarRocks 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.

StarRocks Xactly Interval-based propagation

DetectionStacksync polls StarRocks for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling when reading.

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

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

Rate-limit considerations

  • StarRocks: Ingestion throughput is bounded by cluster resources rather than API quotas.
  • 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 StarRocks ⇄ Xactly

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever StarRocks 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 StarRocks or Xactly record.

Observability

Monitoring

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

Trading partners

EDI

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

How the StarRocks and Xactly connectors work

StarRocks

Integration surface
MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion
Authentication
Database credentials (MySQL-compatible username/password)
Change detection
Query-based polling when reading; StarRocks is most often the destination side of a sync
Capabilities
read · write
Rate limits
Ingestion throughput is bounded by cluster resources rather than API quotas

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

    Choose tables

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

StarRocks 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.

Learn more about security
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:

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 457 integrations available for StarRocks and Xactly.

Popular · 6 of 457
All StarRocks integrations All Xactly integrations Browse all integrations
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