Two-way sync
Changes in Airtable or Apache Doris instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and Apache Doris in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Airtable's rows in Apache Doris, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Airtable where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Airtable sync into Apache Doris in real time, and result tables in Apache Doris sync back into Airtable, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Apache Doris and keep Airtable focused on its operational workload.
Rows from Airtable land in Apache Doris as they change, replacing hand-built CDC and batch extract jobs.
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 | Apache Doris objects | How this pairing syncs | |
|---|---|---|---|
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Tables Columnar tables in one of Doris's table models, used as sync destinations. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Users and Roles Principals used to grant the sync connection scoped access. | Records is specific to Airtable and Users and Roles to Apache Doris — 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. | Databases Logical containers that scope connections and grants. | Fields is specific to Airtable and Databases to Apache Doris — 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. | Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. | Views is specific to Airtable and Unique Key Tables to Apache Doris — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. | Linked records is specific to Airtable and Aggregate Key Tables to Apache Doris — 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. | Partitions Range or list partitions that bound incremental loads. | Attachments is specific to Airtable and Partitions to Apache Doris — 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 applied to Apache Doris as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.
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–Apache Doris connection.
Changes in Airtable or Apache Doris instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Apache Doris 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 Apache Doris record.
Track your Airtable ⇄ Apache Doris sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Apache Doris.
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 Apache Doris 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 Apache Doris 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 Apache Doris: 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.
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 Apache Doris records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Airtable and Apache Doris connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Apache Doris integration in-house.
Yes — Stacksync ships production-grade connectors for both Airtable and Apache Doris. 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 Apache Doris: Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Apache Doris side: Aggregate Key Tables, Partitions, Materialized Views, Users and Roles, plus custom fields where Apache Doris exposes them. On the Airtable side: Views, Linked records, Attachments, Collaborators. 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 471 integrations available for Airtable and Apache Doris.