Real-time
Two-way sync
Changes in Google Pubsub or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Developer tools ⇄ Database
Google Pubsub to MongoDB integration — real-time, two-way sync
Keep Google Pubsub and MongoDB 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
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Why teams connect Google Pubsub and MongoDB
Keep MongoDB and Google Pubsub in step: the rows in your database and the Messages, Schemas, Snapshots, Message attributes your engineering tools track stay consistent in real time, in both directions.
MongoDB 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 Embedded documents and arrays, Indexes, Views, Change streams in MongoDB 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.
Common use cases
- 01 Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
- 02 Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
- 03 Bridge order or billing events off a topic into an ERP or ticketing system as they arrive, mapping message attributes to target fields.
- 04 Attach an Avro or Protocol Buffer schema to a topic so every message Stacksync publishes is validated against an agreed contract.
Common sync patterns
One integration pattern instead of per-tool API code
Read and write the synced tables in MongoDB and Stacksync keeps Google Pubsub current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
React to changes on either side in near real time
Updates in Google Pubsub arrive as row changes in MongoDB, and writes to MongoDB propagate to Google Pubsub within seconds, so triggers, jobs, and alerts fire without polling.
Where Google Pubsub manages users or groups: keep identity aligned
Directory and identity records in Google Pubsub stay matched to the users or owners table in MongoDB, so provisioning and de-provisioning flow from one source.
What you can sync between Google Pubsub and MongoDB
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 | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Snapshots Captured subscription state for seek/replay; lets already-acknowledged messages be redelivered from a point in time. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Snapshots is specific to Google Pubsub and Documents to MongoDB — each maps to any object or custom field on the other side. | |
| Message attributes Up to 100 key-value pairs per message; carry routing metadata and drive subscription filter expressions. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Message attributes is specific to Google Pubsub and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. | |
| Dead-letter topics Destination for messages that exceed a subscription's max delivery attempts; isolates poison messages for later handling. | Indexes Keep lookups by sync key fast on large collections. | Dead-letter topics is specific to Google Pubsub and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| 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. | Views Read-only aggregation-defined sources for filtered sync datasets. | Ordering keys is specific to Google Pubsub and Views to MongoDB — 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. | Change streams The oplog-backed event feed that powers real-time change capture. | Topics is specific to Google Pubsub and Change streams to MongoDB — 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. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Subscriptions is specific to Google Pubsub and GridFS files to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between Google Pubsub and MongoDB
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.
Google Pubsub MongoDB Sub-second propagation
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 applied to MongoDB as a row-level write, with types converted between the two schemas.
MongoDB Google Pubsub Sub-second propagation
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryEach detected change is written to Google Pubsub through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Google Pubsub: Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key.
What ships with Google Pubsub ⇄ MongoDB
Connect Google Pubsub and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Pubsub–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Google Pubsub or MongoDB 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 Google Pubsub or MongoDB record.
Observability
Monitoring
Track your Google Pubsub ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Google Pubsub and MongoDB.
How the Google Pubsub and MongoDB connectors work
Google Pubsub
- Integration surface
- 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
- Change detection
- 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
- Capabilities
- read · write · webhooks
- Rate limits
- Per-region throughput quotas (publish up to ~4 GB/s in large regions); 10 MB max per message and per publish request, 1,000 messages per request, and 1 MBps per ordering key
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect Google Pubsub to MongoDB — 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 Google Pubsub and MongoDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Google Pubsub
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Google Pubsub and MongoDB 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 · Google Pubsub ⇄ MongoDBCustomers 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.
Google Pubsub MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Google Pubsub and MongoDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Google Pubsub and MongoDB: authenticate both systems, choose the objects to sync (such as Google Pubsub's Snapshots and Message attributes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Google Pubsub and MongoDB: One integration pattern instead of per-tool API code; React to changes on either side in near real time; Where Google Pubsub manages users or groups: keep identity aligned. Read and write the synced tables in MongoDB and Stacksync keeps Google Pubsub current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
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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. MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. Stacksync manages authentication, retries, and rate limits on both sides.
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MongoDB: Replica set configuration is required even for a single node — standalone MongoDB cannot be change-tracked. Google Pubsub: Ordered delivery requires messages to share an ordering key and the subscription to have message ordering enabled, with throughput limited to 1 MBps per key. Stacksync's field mapping accounts for these differences between Google Pubsub and MongoDB 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 Google Pubsub and MongoDB 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 Google Pubsub and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Pubsub–MongoDB integration in-house.
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
Every pair below is a real-time, two-way sync. Search all 352 integrations available for Google Pubsub and MongoDB.
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