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Google Pubsub to MySQL integration — real-time, two-way sync

Keep Google Pubsub and MySQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Google Pubsub and MySQL

Keep MySQL and Google Pubsub in step: the rows in your database and the Snapshots, Message attributes, Dead-letter topics, Ordering keys your engineering tools track stay consistent in real time, in both directions.

MySQL 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 Columns, Primary and Unique Keys, JSON Columns, Stored Procedures in MySQL with Snapshots, Message attributes, Dead-letter topics, Ordering keys 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 Two-way sync between a MySQL application database and a CRM so operational records and sales records stay identical
  • 02 Expose SaaS objects as MySQL tables so legacy internal tools built on MySQL can read live business data
  • 03 Fan out CRM record changes to a topic and let billing, analytics, and notification subscriptions each react without coupling to the source.
  • 04 Bridge order or billing events off a topic into an ERP or ticketing system as they arrive, mapping message attributes to target fields.

Common sync patterns

React to changes on either side in near real time

Updates in Google Pubsub arrive as row changes in MySQL, and writes to MySQL 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 MySQL, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in MySQL creates or updates the matching record in Google Pubsub, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.

What you can sync between Google Pubsub and MySQL

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 MySQL objects How this pairing syncs
Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. Tables The primary sync target; rows map to records in connected systems. Schemas is specific to Google Pubsub and Tables to MySQL — 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. Views Read-side projections used as outbound sync sources. Snapshots is specific to Google Pubsub and Views to MySQL — 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. Columns Field-level mapping targets with engine-typed values. Message attributes is specific to Google Pubsub and Columns to MySQL — 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. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Dead-letter topics is specific to Google Pubsub and Primary and Unique Keys to MySQL — 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. JSON Columns Validated semi-structured payloads for nested SaaS data. Ordering keys is specific to Google Pubsub and JSON Columns to MySQL — 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. Stored Procedures Server-side logic that can post-process synced rows. Topics is specific to Google Pubsub and Stored Procedures to MySQL — each maps to any object or custom field on the other side.

How changes propagate between Google Pubsub and MySQL

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 MySQL 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 MySQL as a row-level write, with types converted between the two schemas.

MySQL Google Pubsub Sub-second propagation

DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.

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.
  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Google Pubsub ⇄ MySQL

Connect Google Pubsub and MySQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Pubsub–MySQL connection.

Real-time

Two-way sync

Changes in Google Pubsub or MySQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Pubsub or MySQL 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 MySQL record.

Observability

Monitoring

Track your Google Pubsub ⇄ MySQL 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 MySQL.

How the Google Pubsub and MySQL 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

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide
How it works

How to connect Google Pubsub to MySQL — 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.

  1. 01

    Connect your apps

    Authenticate Google Pubsub and MySQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google Pubsub connected
    MySQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Pubsub and MySQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google Pubsub ⇄ MySQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Google Pubsub MySQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Google Pubsub and MySQL integration FAQ

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.

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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 358 integrations available for Google Pubsub and MySQL.

Popular · 4 of 358
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