Two-way sync
Changes in Google Pubsub or MySQL instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
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.
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.
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. |
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 applied to MySQL as a row-level write, with types converted between the two schemas.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Pubsub–MySQL connection.
Changes in Google Pubsub or MySQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Pubsub or MySQL 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 MySQL record.
Track your Google Pubsub ⇄ MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Pubsub and MySQL.
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 MySQL 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 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.
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 MySQL: authenticate both systems, choose the objects to sync (such as Google Pubsub's Schemas and Snapshots), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 MySQL records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Pubsub and MySQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Pubsub–MySQL integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Pubsub and MySQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the MySQL side: Columns, Primary and Unique Keys, JSON Columns, Stored Procedures, plus custom fields where MySQL exposes them. On the Google Pubsub side: Snapshots, Message attributes, Dead-letter topics, Ordering keys. Stacksync auto-detects both schemas and converts types between the two systems.
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 358 integrations available for Google Pubsub and MySQL.