Real-time
Two-way sync
Changes in Scaleway Postgres or Xactly instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
Scaleway Postgres to Xactly integration — real-time, two-way sync
Keep Scaleway Postgres 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Scaleway Postgres and Xactly
Treat Xactly like part of your database: its records live in Scaleway Postgres 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 Scaleway Postgres, where it can be queried and joined like everything else.
Stacksync mirrors Positions & Titles, Quotas / Targets, Payment Summary (Payable), Products & Customers from Xactly into Materialized views, Schemas, Sequences, Columns in Scaleway Postgres 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 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
- 04 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
Common sync patterns
Query the CRM like a database
Accounts, contacts, and custom objects from Xactly become tables in Scaleway Postgres you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Scaleway Postgres 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 Scaleway Postgres 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.
| Scaleway Postgres objects | Xactly objects | How this pairing syncs | |
|---|---|---|---|
| Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | 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. | Materialized views is specific to Scaleway Postgres and Transactions (Commission & Bonus) to Xactly — each maps to any object or custom field on the other side. | |
| Schemas Namespace tables so multiple applications or environments can be synced selectively. | 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. | Schemas is specific to Scaleway Postgres and Participants (Payees) to Xactly — each maps to any object or custom field on the other side. | |
| Sequences Generate primary keys; sync tooling must respect them when writing rows. | 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. | Sequences is specific to Scaleway Postgres and Positions & Titles to Xactly — each maps to any object or custom field on the other side. | |
| Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | 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. | Columns is specific to Scaleway Postgres and Quotas / Targets to Xactly — each maps to any object or custom field on the other side. | |
| Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | 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 Scaleway Postgres and Payment Summary (Payable) to Xactly — each maps to any object or custom field on the other side. | |
| Views Read-only sources for shaping data before it leaves the database. | 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 Scaleway Postgres and Products & Customers to Xactly — each maps to any object or custom field on the other side. |
How changes propagate between Scaleway Postgres 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.
Scaleway Postgres Xactly Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
DeliveryEach detected change is applied to Xactly as a row-level write, with types converted between the two schemas.
Xactly Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Scaleway Postgres: Throughput is bounded by instance size and connection limits 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 Scaleway Postgres ⇄ Xactly
Connect Scaleway Postgres and Xactly for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Scaleway Postgres–Xactly connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Scaleway Postgres 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 Scaleway Postgres or Xactly record.
Observability
Monitoring
Track your Scaleway Postgres ⇄ Xactly sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Scaleway Postgres and Xactly.
How the Scaleway Postgres and Xactly connectors work
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits 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.
How it works
How to connect Scaleway Postgres 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.
- 01
Connect your apps
Authenticate Scaleway Postgres 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.
Scaleway Postgres
connected
Xactly
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Scaleway Postgres 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.
objects · Scaleway Postgres ⇄ XactlyCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Scaleway Postgres XactlyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Scaleway Postgres and Xactly integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Scaleway Postgres and Xactly: authenticate both systems, choose the objects to sync (such as Scaleway Postgres's Materialized views and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both Scaleway Postgres and Xactly. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. 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: Positions & Titles, Quotas / Targets, Payment Summary (Payable), Products & Customers, plus custom fields where Xactly exposes them. On the Scaleway Postgres side: Materialized views, Schemas, Sequences, Columns. 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 Scaleway Postgres and Xactly: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Xactly become tables in Scaleway Postgres you can join with application data directly.
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 466 integrations available for Scaleway Postgres and Xactly.
Popular · 7 of 466
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Scaleway Postgres ⇄ Dun And Bradstreet -
Scaleway Postgres ⇄ Seismic -
Scaleway Postgres ⇄ Gong -
Xactly ⇄ Amazon RDS -
Xactly ⇄ Supabase -
Xactly ⇄ MySQL -
Xactly ⇄ MariaDB
No integrations match .
