Two-way sync
Changes in Google Pubsub or Slack instantly reflect in both systems. No stale data, no manual imports.
Keep Google Pubsub and Slack in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Slack is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Google Pubsub is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.
Stacksync syncs Threads, Users, User groups, Files in Slack with Schemas, Snapshots, Message attributes, Dead-letter topics in Google Pubsub field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.
A ticket or request raised in Slack opens or updates a matching issue in Google Pubsub, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Records created or changed in Slack publish to the queue or topic in Google Pubsub as they happen, so downstream services react to real events rather than polling for them.
People and accounts in Slack stay matched to the users in Google Pubsub, so access, provisioning, and org changes propagate instead of being keyed in twice.
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.
| Google Pubsub objects | Slack objects | How this pairing syncs | |
|---|---|---|---|
| Messages The synced unit: base64-encoded data plus attributes, ordering key, messageId and publishTime; capped at 10 MB each. | Messages Keyed by channel and timestamp; posted via chat.postMessage and read via history methods. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Ordering keys Tag messages so those sharing a key deliver in publish order when message ordering is enabled; throughput capped at 1 MBps per key. | Channels Conversations (public, private, DMs) that messages are read from and posted to. | Ordering keys is specific to Google Pubsub and Channels to Slack — each maps to any object or custom field on the other side. | |
| Topics Named resource publishers send to; Stacksync publishes each record change as a message to a topic for downstream subscribers to consume. | Threads Replies grouped under a parent message timestamp, preserved when archiving conversations. | Topics is specific to Google Pubsub and Threads to Slack — each maps to any object or custom field on the other side. | |
| Subscriptions A stream of messages from one topic; Stacksync consumes here via StreamingPull or a push endpoint, acknowledging each message after a successful write. | Users Workspace members with profile fields, synced against HR systems and identity providers. | Subscriptions is specific to Google Pubsub and Users to Slack — each maps to any object or custom field on the other side. | |
| Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. | User groups Handles like @support that map to teams in external systems. | Schemas is specific to Google Pubsub and User groups to Slack — each maps to any object or custom field on the other side. | |
| Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. | Files Uploads attached to messages, retrievable for archiving. | Snapshots is specific to Google Pubsub and Files to Slack — 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.
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 Slack through its API, with automatic retries and rate-limit backoff.
DetectionSlack notifies Stacksync of record changes through webhook events. Events API webhooks, delivered over HTTP callbacks or Socket Mode.
DeliveryEach detected change is written to Google Pubsub through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Pubsub–Slack connection.
Changes in Google Pubsub or Slack instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Pubsub or Slack data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google Pubsub or Slack record.
Track your Google Pubsub ⇄ Slack sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Pubsub and Slack.
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 Google Pubsub and Slack 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 Google Pubsub and Slack 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 Google Pubsub and Slack: authenticate both systems, choose the objects to sync (such as Google Pubsub's Messages and Ordering keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Slack side: Threads, Users, User groups, Files, plus custom fields where Slack exposes them. On the Google Pubsub side: Schemas, Snapshots, Message attributes, Dead-letter topics. 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 Google Pubsub and Slack: Where Google Pubsub tracks engineering work: requests become issues; Where Google Pubsub moves messages between services: activity lands on the stream; Where Google Pubsub is the directory or identity source: one set of users. A ticket or request raised in Slack opens or updates a matching issue in Google Pubsub, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.
Google Pubsub: REST and gRPC (Cloud Pub/Sub API v1). Authentication: Google Cloud IAM via OAuth 2.0 / service-account credentials (JSON key or workload identity); requires roles such as pubsub.publisher and pubsub.subscriber. Slack: Web API (HTTP RPC-style methods) plus the Events API. Authentication: OAuth 2.0 with bot or user tokens and granular scopes. Stacksync manages authentication, retries, and rate limits on both sides.
Slack: The Web API uses RPC-style method names such as chat.postMessage and conversations.history rather than resource URLs. Google Pubsub: Push subscriptions deliver as HTTPS POSTs with base64-encoded data and can carry an OIDC JWT for authentication; the endpoint must return a 2xx (or 102) to ack. Stacksync's field mapping accounts for these differences between Google Pubsub and Slack without custom code.
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 265 integrations available for Google Pubsub and Slack.