Two-way sync
Changes in Airtable or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and RavenDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Airtable and RavenDB 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.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both Airtable and RavenDB, so each workload runs on the engine that suits it.
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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 | RavenDB objects | How this pairing syncs | |
|---|---|---|---|
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Attachments Binary payloads stored with documents, handled separately from the JSON body | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Documents JSON records, the primary unit read and written during sync | Tables is specific to Airtable and Documents to RavenDB — 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. | Collections Groupings of documents by type, mapped to tables in relational targets | Records is specific to Airtable and Collections to RavenDB — 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. | Indexes Static and auto indexes used to query documents for filtered reads | Fields is specific to Airtable and Indexes to RavenDB — 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. | Revisions Historical versions of documents, useful for audit-oriented replication | Views is specific to Airtable and Revisions to RavenDB — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Counters Numeric values attached to documents that change independently of the document body | Linked records is specific to Airtable and Counters to RavenDB — 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 RavenDB through its API, with automatic retries and rate-limit backoff.
DetectionChanges in RavenDB are captured at the source via change data capture — no polling loop against its API. Data subscriptions and the Changes API provide server-pushed change feeds.
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–RavenDB connection.
Changes in Airtable or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or RavenDB 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 RavenDB record.
Track your Airtable ⇄ RavenDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and RavenDB.
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 RavenDB 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 RavenDB 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 RavenDB: authenticate both systems, choose the objects to sync (such as Airtable's Attachments and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 RavenDB: Regional or environment copies; Cross-engine sync; Migration with zero-downtime cutover. Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
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. RavenDB: HTTP REST API with official clients (.NET, Java, Node.js, Python, and others). Authentication: X.509 client certificates on secured servers, instead of username and password. Stacksync manages authentication, retries, and rate limits on both sides.
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. RavenDB: RavenDB supports ACID transactions spanning multiple documents, which is uncommon among document databases. Stacksync's field mapping accounts for these differences between Airtable and RavenDB 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 RavenDB records are not retained after a sync operation.
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 465 integrations available for Airtable and RavenDB.