Two-way sync
Changes in Airtable or Gatekeeper instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and Gatekeeper in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Gatekeeper through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Airtable.
Stacksync mirrors Files, Workflow form data, Custom data groups, Users from Gatekeeper into Attachments, Collaborators, Bases, Tables in Airtable and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Gatekeeper, so the tool and the database never disagree.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Gatekeeper are ordinary rows in Airtable; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Airtable and Stacksync propagates the change into Gatekeeper, replacing custom integration code.
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 | Gatekeeper objects | How this pairing syncs | |
|---|---|---|---|
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Contracts The core contract records holding value, key dates, renewal terms, status, type, owner, and the linked vendor; created, read, updated, and deleted so contract data moves two-way between Gatekeeper and a database, ERP, or CRM. | Tables is specific to Airtable and Contracts to Gatekeeper — each maps to any object or custom field on the other side. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Vendors (Suppliers) Company records for counterparties and suppliers with onboarding status, compliance, risk, contacts, and spend; read and written to keep vendor master data aligned with a CRM or ERP. | Records is specific to Airtable and Vendors (Suppliers) to Gatekeeper — each maps to any object or custom field on the other side. | |
| Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. | Files Document files attached to contracts and vendors - executed PDFs, certificates, and compliance evidence; read to pull signed files and evidence out, or written to push generated documents in. | Fields is specific to Airtable and Files to Gatekeeper — 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. | Workflow form data The structured data captured on Gatekeeper workflow forms (intake requests, vendor onboarding, risk assessments); exposed by the API since 2025 so form results sync into an operational database, not only contract and vendor records. | Views is specific to Airtable and Workflow form data to Gatekeeper — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Custom data groups Customer-configured custom fields and data groups; because the JSON:API and its docs are dynamic, any custom data added in Configuration exposes the same read/write endpoints as the standard objects and syncs the same way. | Linked records is specific to Airtable and Custom data groups to Gatekeeper — 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. | Users Gatekeeper user and team records governed by role-based access; read to map contract and vendor owners, approvers, and internal contacts to CRM or HR records. | Attachments is specific to Airtable and Users to Gatekeeper — 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 Gatekeeper through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Gatekeeper for changes on an incremental schedule, reading only records changed since the previous pass. No native developer webhook subscription API and no database change-data-capture log.
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–Gatekeeper connection.
Changes in Airtable or Gatekeeper instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Gatekeeper 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 Gatekeeper record.
Track your Airtable ⇄ Gatekeeper sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Gatekeeper.
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 Gatekeeper 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 Gatekeeper 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 Gatekeeper: authenticate both systems, choose the objects to sync (such as Airtable's Tables and Records), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Airtable and Gatekeeper. 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 Gatekeeper: No native developer webhook subscription API and no database change-data-capture log; detect changes by polling the JSON:API list endpoints filtered and sorted on updated-at timestamps. Gatekeeper's own event automation - Workflow Engine phase transitions and Interconnect process orchestration - runs inside the platform rather than as a subscribable webhook stream. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Gatekeeper side: Files, Workflow form data, Custom data groups, Users, plus custom fields where Gatekeeper exposes them. On the Airtable side: Attachments, Collaborators, Bases, Tables. 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 Airtable and Gatekeeper: One integration pattern for the whole stack; Read Gatekeeper with a query; Automate Gatekeeper from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 442 integrations available for Airtable and Gatekeeper.