Two-way sync
Changes in Airtable or Google Pubsub instantly reflect in both systems. No stale data, no manual imports.
Keep Airtable and Google Pubsub in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Airtable is where your application's durable data lives; Google Pubsub is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Tables, Records, Fields, Views in Airtable with Messages, Schemas, Snapshots, Message attributes in Google Pubsub field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Read and write the synced tables in Airtable and Stacksync keeps Google Pubsub current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Google Pubsub arrive as row changes in Airtable, and writes to Airtable propagate to Google Pubsub within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Google Pubsub stay matched to the users or owners table in Airtable, so provisioning and de-provisioning flow from one source.
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 | Google Pubsub objects | How this pairing syncs | |
|---|---|---|---|
| Bases Top-level containers; each base has its own API endpoint and schema. | Topics Named resource publishers send to; Stacksync publishes each record change as a message to a topic for downstream subscribers to consume. | Bases is specific to Airtable and Topics to Google Pubsub — each maps to any object or custom field on the other side. | |
| Tables Map to sync tables; schema is readable through the base metadata endpoints. | Subscriptions A stream of messages from one topic; Stacksync consumes here via StreamingPull or a push endpoint, acknowledging each message after a successful write. | Tables is specific to Airtable and Subscriptions to Google Pubsub — 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. | Messages The synced unit: base64-encoded data plus attributes, ordering key, messageId and publishTime; capped at 10 MB each. | Records is specific to Airtable and Messages to Google Pubsub — 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. | Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. | Fields is specific to Airtable and Schemas to Google Pubsub — 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. | Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. | Views is specific to Airtable and Snapshots to Google Pubsub — each maps to any object or custom field on the other side. | |
| Linked records Cross-table references that carry relationships between synced tables. | Message attributes Up to 100 key-value pairs per message; carry routing metadata and drive subscription filter expressions. | Linked records is specific to Airtable and Message attributes to Google Pubsub — 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 Google Pubsub through its API, with automatic retries and rate-limit backoff.
DetectionGoogle Pubsub notifies Stacksync of record changes through webhook events. Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST.
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–Google Pubsub connection.
Changes in Airtable or Google Pubsub instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Airtable or Google Pubsub 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 Google Pubsub record.
Track your Airtable ⇄ Google Pubsub sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Airtable and Google Pubsub.
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 Google Pubsub 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 Google Pubsub 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 Google Pubsub: authenticate both systems, choose the objects to sync (such as Airtable's Bases and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Airtable: Airtable API rate limit of 5 requests/second; Stacksync rate-limits to stay under it. Google Pubsub: Default message retention is 7 days, configurable up to 31 days; unacknowledged messages are redelivered until acked or the retention window expires. Stacksync's field mapping accounts for these differences between Airtable and Google Pubsub 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 Google Pubsub records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Airtable and Google Pubsub connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Airtable–Google Pubsub integration in-house.
Yes — Stacksync ships production-grade connectors for both Airtable and Google Pubsub. 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 Google Pubsub: Consumes messages as they arrive on a subscription — StreamingPull (long-lived gRPC) or a push subscription delivering each message as an HTTPS POST; no modified-date polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 353 integrations available for Airtable and Google Pubsub.