Real-time
Two-way sync
Changes in Airtable or Dremio instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Airtable to Dremio integration — real-time, two-way sync
Keep Airtable and Dremio 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
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Airtable and Dremio
Connect Airtable and Dremio with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Airtable's rows in Dremio, 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 Dremio in real time, and result tables in Dremio sync back into Airtable, with schema and type mapping between the two systems handled for you.
Common use cases
- 01 Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
- 02 Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
- 03 Consolidate several Airtable bases into one analytical database for reporting without manual CSV exports.
- 04 Sync form-submitted records from Airtable into downstream systems like a helpdesk or marketing platform.
Common sync patterns
Serve warehouse results at database speed
Aggregates or model outputs computed in Dremio sync into Airtable, where whatever reads from that database gets them without querying the warehouse.
Fresh analytics without loading windows
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Offload heavy reads
Point analytical queries at the synced copy in Dremio and keep Airtable focused on its operational workload.
What you can sync between Airtable and Dremio
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 | Dremio objects | How this pairing syncs | |
|---|---|---|---|
| Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. | Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Records is specific to Airtable and Sources to Dremio — 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. | Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Fields is specific to Airtable and Physical datasets to Dremio — 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. | Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Views is specific to Airtable and Virtual datasets (views) to Dremio — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Linked records is specific to Airtable and Apache Iceberg tables to Dremio — 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. | Spaces and folders Namespaces that organize virtual datasets and govern access. | Attachments is specific to Airtable and Spaces and folders to Dremio — 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. | Reflections Materialized accelerations that make repeated extraction queries cheaper. | Collaborators is specific to Airtable and Reflections to Dremio — each maps to any object or custom field on the other side. |
How changes propagate between Airtable and Dremio
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 Dremio 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 Dremio as a row-level write, with types converted between the two schemas.
Dremio Airtable Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
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.
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
What ships with Airtable ⇄ Dremio
Connect Airtable and Dremio for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Dremio connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Airtable or Dremio 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 Dremio record.
Observability
Monitoring
Track your Airtable ⇄ Dremio 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 Dremio.
How the Airtable and Dremio 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.
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
How it works
How to connect Airtable to Dremio — 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 Dremio 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
Dremio
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Airtable and Dremio 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 ⇄ DremioCustomers 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 DremioCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Airtable and Dremio integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Airtable and Dremio: authenticate both systems, choose the objects to sync (such as Airtable's Records and Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. Stacksync manages authentication, retries, and rate limits on both sides.
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Dremio: Virtual datasets let teams expose curated, governed views, so a sync can target business-ready SQL views instead of raw files. 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. Stacksync's field mapping accounts for these differences between Airtable and Dremio 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 Dremio records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Airtable and Dremio connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Dremio integration in-house.
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Yes — Stacksync ships production-grade connectors for both Airtable and Dremio. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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
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