Real-time
Two-way sync
Changes in Airtable or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Database
Airtable to OpenSearch integration — real-time, two-way sync
Keep Airtable and OpenSearch 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Airtable and OpenSearch
Keep Airtable and OpenSearch synchronized in real time, across engines, regions, or services, in one or both directions.
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 OpenSearch 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
- Sync form-submitted records from Airtable into downstream systems like a helpdesk or marketing platform.
- Push CRM accounts and deals into an Airtable base so operations teams can manage pipelines and enrichment without CRM licenses.
- Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.
- Stream CRM records such as accounts, contacts, and tickets into OpenSearch to power internal search across customer data.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
Shared reference data between services
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
What you can sync between Airtable and OpenSearch
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 | OpenSearch objects | |
|---|---|---|
| Views Filtered subsets of a table that can scope which records a sync reads. | Indexes The core container; synced records land in indexes with defined mappings | |
| Linked records Cross-table references that carry relationships between synced tables. | Documents JSON records written via the index and bulk APIs and read via search queries | |
| Attachments File fields exposed as expiring URLs that syncs can mirror to other systems. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | |
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Index templates Mapping and settings presets applied to new indexes a sync creates | |
| Bases Top-level containers; each base has its own API endpoint and schema. | Ingest pipelines Server-side processors that transform documents as they are written | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Data streams Append-oriented time-series storage for logs and events pushed from source systems |
What ships with Airtable ⇄ OpenSearch
Connect Airtable and OpenSearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–OpenSearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Airtable or OpenSearch 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 OpenSearch record.
Observability
Monitoring
Track your Airtable ⇄ OpenSearch 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 OpenSearch.
How the Airtable and OpenSearch 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.
OpenSearch
- Integration surface
- REST API over HTTP(S) with JSON payloads
- Authentication
- basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
- Change detection
- no native change feed; reads rely on queries with scroll or point-in-time polling
- Capabilities
- read · write
- Rate limits
- throughput bounded by cluster sizing rather than fixed API quotas
How it works
How to connect Airtable to OpenSearch — 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 OpenSearch 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
OpenSearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Airtable and OpenSearch 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 ⇄ OpenSearchCustomers 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 OpenSearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Airtable and OpenSearch integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Airtable and OpenSearch: authenticate both systems, choose the objects to sync (such as Airtable's Views and Linked records), 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 OpenSearch: Migration with zero-downtime cutover; Shared reference data between services; Regional or environment copies. When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
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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. OpenSearch: REST API over HTTP(S) with JSON payloads. Authentication: Basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. 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. OpenSearch: The bulk API accepts many index, update, and delete operations per request, which is how large indexes are kept current. Stacksync's field mapping accounts for these differences between Airtable and OpenSearch 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 OpenSearch records are not retained after a sync operation.
SECURITY
Security teams love 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
CSA STAR
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 386 integrations available for Airtable and OpenSearch.
Popular · 8 of 386
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Airtable ⇄ MariaDB -
Airtable ⇄ SQL Server -
Airtable ⇄ Postgres Heroku -
Airtable ⇄ AWS Aurora MySQL -
OpenSearch ⇄ Couchbase -
OpenSearch ⇄ DuckDB -
OpenSearch ⇄ Elasticsearch -
OpenSearch ⇄ Google Cloud Spanner
No integrations match .
