Two-way sync
Changes in Airtable or Namely instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and Namely 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. Airtable is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Events, Profiles, Job Titles, Job Tiers in Namely need to exist as queryable Views, Linked records, Attachments, Collaborators in Airtable 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 Views, Linked records, Attachments, Collaborators in Airtable with Events, Profiles, Job Titles, Job Tiers 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.
Events, Profiles, Job Titles, Job Tiers replicate into Airtable 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 Airtable, so hierarchy-driven logic and permissions don't drift.
Values assembled or corrected in Airtable 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.
| Airtable objects | Namely objects | How this pairing syncs | |
|---|---|---|---|
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Job Titles Job title definitions; read and written so titles stay aligned with an HRIS, directory, or reporting dimension. | Fields is specific to Airtable and Job Titles to Namely — each maps to any object or custom field on the other side. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | Job Tiers Leveling hierarchy grouping zero-to-many Job Titles; read to map seniority into warehouse dimension tables. | Views is specific to Airtable and Job Tiers to Namely — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Groups Departments and locations that organize Profiles; synced to keep org structure aligned with a warehouse or IdP. | Linked records is specific to Airtable and Groups to Namely — each maps to any object or custom field on the other side. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Teams Teams and team categories a Profile belongs to; read and written for org-chart and provisioning workflows. | Attachments is specific to Airtable and Teams to Namely — each maps to any object or custom field on the other side. | |
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Reports Saved Namely reports returned as JSON snapshots that update instantly; read-only feeds for headcount and roster analytics. | Collaborators is specific to Airtable and Reports to Namely — each maps to any object or custom field on the other side. | |
| Bases Top-level containers; each base has its own API endpoint and schema. | Profile Fields Metadata describing standard and company-defined custom field sections; read to discover schema and generate mappings. | Bases is specific to Airtable and Profile Fields to Namely — 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.
DetectionAirtable pushes changes as they happen — webhook events backed by change data capture. Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks).
DeliveryEach detected change is written to Namely through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Namely for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks.
DeliveryEach detected change is written to Airtable through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Namely connection.
Changes in Airtable or Namely instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Namely data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Airtable or Namely record.
Track your Airtable ⇄ Namely sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Namely.
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 Airtable and Namely 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 Airtable and Namely 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 Airtable and Namely: authenticate both systems, choose the objects to sync (such as Airtable's Fields and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Airtable: Airtable API rate limit of 5 requests/second; Stacksync rate-limits to stay under it. Namely: Profiles carry standard and company-defined custom fields; the Profile Fields endpoint describes the schema so mappings can be generated per company. Stacksync's field mapping accounts for these differences between Airtable and Namely without custom code.
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 Airtable and Namely records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Airtable and Namely connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Namely integration in-house.
Yes — Stacksync ships production-grade connectors for both Airtable and Namely. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Airtable: Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour. On Namely: No webhooks; integrations poll GET endpoints and compare the updated_at / created_at timestamps on Profiles and related objects to detect changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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Every pair below is a real-time, two-way sync. Search all 438 integrations available for Airtable and Namely.