Two-way sync
Changes in Supabase or Xactly instantly reflect in both systems. No stale data, no manual imports.
Keep Supabase 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 Supabase, where it can be queried and joined like everything else.
Stacksync mirrors Participants (Payees), Positions & Titles, Quotas / Targets, Payment Summary (Payable) from Xactly into auth.users, Row Level Security Policies, JSONB Columns, Database Functions in Supabase 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.
Signup, usage, or lifecycle changes written to Supabase sync onto the matching records in Xactly, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Xactly API, limits, and retries.
Field and stage updates in Xactly arrive as row changes in Supabase, ready to drive jobs and notifications.
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.
| Supabase objects | Xactly objects | How this pairing syncs | |
|---|---|---|---|
| Database Functions Postgres functions that can transform or validate synced rows. | 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. | Database Functions is specific to Supabase and Products & Customers to Xactly — each maps to any object or custom field on the other side. | |
| Storage Object Metadata File metadata rows that can be joined to synced application data. | 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. | Storage Object Metadata is specific to Supabase and Orders to Xactly — each maps to any object or custom field on the other side. | |
| Tables Standard Postgres tables; the primary two-way sync target. | 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. | Tables is specific to Supabase and Credits to Xactly — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound 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. | Views is specific to Supabase and Transactions (Commission & Bonus) to Xactly — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (public and custom) that scope sync access. | 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 Supabase and Participants (Payees) to Xactly — each maps to any object or custom field on the other side. | |
| auth.users Managed authentication users, often mirrored into CRM or support systems. | 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. | auth.users is specific to Supabase and Positions & Titles 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.
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
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 Supabase as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Supabase–Xactly connection.
Changes in Supabase or Xactly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Supabase 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 Supabase or Xactly record.
Track your Supabase ⇄ Xactly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Supabase 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 Supabase 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 Supabase 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 Supabase and Xactly: authenticate both systems, choose the objects to sync (such as Supabase's Database Functions and Storage Object Metadata), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Supabase and Xactly records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Supabase and Xactly connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Supabase–Xactly integration in-house.
Yes — Stacksync ships production-grade connectors for both Supabase and Xactly. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. 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: Participants (Payees), Positions & Titles, Quotas / Targets, Payment Summary (Payable), plus custom fields where Xactly exposes them. On the Supabase side: auth.users, Row Level Security Policies, JSONB Columns, Database Functions. Stacksync auto-detects both schemas and converts types between the two systems.
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 563 integrations available for Supabase and Xactly.