Two-way sync
Changes in Airtable or Amazon Lightsail instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and Amazon Lightsail 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 Amazon Lightsail 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.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 Amazon Lightsail, so each workload runs on the engine that suits it.
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 | Amazon Lightsail objects | How this pairing syncs | |
|---|---|---|---|
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Tables Relational tables read from and written to at row level. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views Filtered subsets of a table that can scope which records a sync reads. | Views Query-backed read-only sources. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Collaborators User fields useful for mapping record ownership to accounts in a CRM or database. | Schemas Namespaces used when selecting tables to sync. | Collaborators is specific to Airtable and Schemas to Amazon Lightsail — 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. | Users and Grants Database accounts used to give the sync connection scoped access. | Bases is specific to Airtable and Users and Grants to Amazon Lightsail — 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. | Managed Databases Lightsail-hosted MySQL or PostgreSQL instances that a sync connects to as standard databases. | Records is specific to Airtable and Managed Databases to Amazon Lightsail — 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 databases on the instance that scope a connection. | Fields is specific to Airtable and Databases to Amazon Lightsail — 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 Amazon Lightsail as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Amazon Lightsail for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.
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–Amazon Lightsail connection.
Changes in Airtable or Amazon Lightsail instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Amazon Lightsail 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 Amazon Lightsail record.
Track your Airtable ⇄ Amazon Lightsail sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Amazon Lightsail.
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 Amazon Lightsail 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 Amazon Lightsail 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 Amazon Lightsail: authenticate both systems, choose the objects to sync (such as Airtable's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Airtable and Amazon Lightsail. 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 Amazon Lightsail: Polling on timestamp or key columns; log-based CDC depends on engine parameter access, which is more limited than on full RDS. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Airtable side: Records, Fields, Views, Linked records, plus custom fields where Airtable exposes them. On the Amazon Lightsail side: Tables, Views, Users and Grants, Managed Databases. Stacksync auto-detects both schemas and converts types between the two systems.
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 Amazon Lightsail: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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 472 integrations available for Airtable and Amazon Lightsail.