Two-way sync
Changes in Namely or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep Namely and Supabase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Namely is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Supabase is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Job Titles, Job Tiers, Groups, Teams in Namely need to exist as queryable Row Level Security Policies, JSONB Columns, Database Functions, Storage Object Metadata in Supabase before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.
Stacksync syncs Row Level Security Policies, JSONB Columns, Database Functions, Storage Object Metadata in Supabase with Job Titles, Job Tiers, Groups, Teams in Namely field by field, in real time. You decide which system owns which fields — Namely typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.
The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.
Job Titles, Job Tiers, Groups, Teams replicate into Supabase where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
Groups, departments, managers, and reporting lines from Namely stay consistent in Supabase, so hierarchy-driven logic and permissions don't drift.
Values assembled or corrected in Supabase write onto the matching record in Namely where those fields are writable, keeping the people system enriched.
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.
| Namely objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Profiles The core employee record (personal, job, contact, and compensation fields); synced two-way via GET/POST/PUT with updated_at driving incremental polling. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Profiles is specific to Namely and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Job Titles is specific to Namely and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. | Database Functions Postgres functions that can transform or validate synced rows. | Job Tiers is specific to Namely and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Groups is specific to Namely and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. | Tables Standard Postgres tables; the primary two-way sync target. | Teams is specific to Namely and Tables to Supabase — each maps to any object or custom field on the other side. | |
| Reports Saved Namely reports returned as JSON snapshots that update instantly; read-only feeds for headcount and roster analytics. | Views Read-side projections exposed to outbound syncs. | Reports is specific to Namely and Views to Supabase — 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.
DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
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 written to Namely through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Namely–Supabase connection.
Changes in Namely or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Namely or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Namely or Supabase record.
Track your Namely ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Namely and Supabase.
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 Namely and Supabase 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 Namely and Supabase 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 Namely and Supabase: authenticate both systems, choose the objects to sync (such as Namely's Profiles and Job Titles), 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 Namely and Supabase records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Namely and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Namely–Supabase integration in-house.
Yes — Stacksync ships production-grade connectors for both Namely and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Namely: No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Supabase side: Row Level Security Policies, JSONB Columns, Database Functions, Storage Object Metadata, plus custom fields where Supabase exposes them. On the Namely side: Job Titles, Job Tiers, Groups, Teams. 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 437 integrations available for Namely and Supabase.