Real-time
Two-way sync
Changes in Airtable or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Database
Airtable to MongoDB integration — real-time, two-way sync
Keep Airtable and MongoDB 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Airtable and MongoDB
Keep Airtable and MongoDB synchronized in real time, across engines, regions, or services, in one or both directions.
Connecting Airtable and MongoDB bridges a no-code workspace and a developer database: Airtable Records become MongoDB Documents that applications can query with Indexes, and application data surfaces back into Airtable Tables for business users to edit. This lets product teams run an operational mirror of production Collections without building internal admin tools.
Stacksync syncs tables or collections between Airtable and MongoDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Replace a custom admin panel by editing production MongoDB Documents through Airtable
- 02 Query Airtable Records with MongoDB Indexes instead of paging through the Airtable API
- 03 Keep embedded documents and arrays in sync with Airtable Linked records for relational data
- 04 Write cleaned records edited in Airtable back to the source system of record, keeping both sides consistent in near real time.
Common sync patterns
Ops-editable app data
MongoDB Documents from selected Collections sync into Airtable Tables where staff correct and enrich them
Structured export of Airtable
Bases and Records replicate into MongoDB Databases, with Linked records represented as embedded documents and arrays
Curated views for apps
Airtable Views map to MongoDB Views so applications read only the approved subset
What you can sync between Airtable and MongoDB
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 | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Views Filtered subsets of a table that can scope which records a sync reads. | Views Read-only aggregation-defined sources for filtered sync datasets. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Attachments is specific to Airtable and Documents to MongoDB — 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. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Collaborators is specific to Airtable and Embedded documents and arrays to MongoDB — 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. | Indexes Keep lookups by sync key fast on large collections. | Bases is specific to Airtable and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Change streams The oplog-backed event feed that powers real-time change capture. | Tables is specific to Airtable and Change streams to MongoDB — 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. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Records is specific to Airtable and GridFS files to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between Airtable and MongoDB
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.
Airtable MongoDB Sub-second propagation
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 applied to MongoDB as a row-level write, with types converted between the two schemas.
MongoDB Airtable Sub-second propagation
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryEach detected change is written to Airtable through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Airtable: The Web API enforces a per-base limit of 5 requests per second.
What ships with Airtable ⇄ MongoDB
Connect Airtable and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Airtable or MongoDB 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 Airtable or MongoDB record.
Observability
Monitoring
Track your Airtable ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Airtable and MongoDB.
How the Airtable and MongoDB connectors work
Airtable
- Integration surface
- REST API (per-base Web API plus metadata and webhooks endpoints)
- Authentication
- OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks
- Change detection
- 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
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- The Web API enforces a per-base limit of 5 requests per second.
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect Airtable to MongoDB — 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 Airtable and MongoDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Airtable
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Airtable and MongoDB 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 · Airtable ⇄ MongoDBCustomers 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.
Airtable MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Airtable and MongoDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Airtable and MongoDB: authenticate both systems, choose the objects to sync (such as Airtable's Views and Attachments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Airtable and MongoDB: Ops-editable app data; Structured export of Airtable; Curated views for apps. MongoDB Documents from selected Collections sync into Airtable Tables where staff correct and enrich them
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Airtable: REST API (per-base Web API plus metadata and webhooks endpoints). Authentication: OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks. MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. Stacksync manages authentication, retries, and rate limits on both sides.
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Airtable: Computed field types such as formulas, lookups, and rollups are read-only over the API, so bi-directional syncs must map writes to source fields. MongoDB: Replica set configuration is required even for a single node — standalone MongoDB cannot be change-tracked. Stacksync's field mapping accounts for these differences between Airtable and MongoDB without custom code.
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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 MongoDB records are not retained after a sync operation.
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
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 575 integrations available for Airtable and MongoDB.
Popular · 8 of 575
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Airtable ⇄ Reltio -
Airtable ⇄ SAP Hana -
Airtable ⇄ Jdbc -
Airtable ⇄ Render Postgres - MongoDB ⇄ Render Postgres
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MongoDB ⇄ PostgreSQL -
MongoDB ⇄ Amazon RDS -
MongoDB ⇄ Supabase
No integrations match .
