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

Keep Google Pubsub and SQL Server 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 SQL Server

Keep SQL Server and Google Pubsub in step: the rows in your database and the Topics, Subscriptions, Messages, Schemas your engineering tools track stay consistent in real time, in both directions.

SQL Server 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 Schemas, Tables, Views, Columns in SQL Server with Topics, Subscriptions, Messages, Schemas 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 Mirror on-premises ERP data held in SQL Server into cloud CRM and support systems
  • 02 Feed a cloud warehouse from SQL Server continuously using native CDC instead of SSIS batch jobs
  • 03 Consume messages from a subscription via StreamingPull and write them into a Postgres or warehouse table for durable, SQL-queryable storage.
  • 04 Fan out CRM record changes to a topic and let billing, analytics, and notification subscriptions each react without coupling to the source.

Common sync patterns

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 SQL Server, so provisioning and de-provisioning flow from one source.

Turn rows into the records your tools track

A new or changed row in SQL Server 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.

Land tool activity as queryable rows

Records and events from Google Pubsub arrive in SQL Server as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.

What you can sync between Google Pubsub and SQL Server

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 SQL Server objects How this pairing syncs
Schemas Avro or Protocol Buffer definitions bound to a topic; validate that every published message matches the agreed structure. Schemas Namespaces (dbo and custom) used to organize synced tables. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping.
Message attributes Up to 100 key-value pairs per message; carry routing metadata and drive subscription filter expressions. Views Read-side projections used as outbound sync sources. Message attributes is specific to Google Pubsub and Views to SQL Server — 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. Columns Field-level mapping targets with T-SQL types. Dead-letter topics is specific to Google Pubsub and Columns to SQL Server — 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. Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Ordering keys is specific to Google Pubsub and Primary and Unique Keys to SQL Server — 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. CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. Topics is specific to Google Pubsub and CDC Change Tables to SQL Server — 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. Stored Procedures T-SQL logic that can validate or post-process synced rows. Subscriptions is specific to Google Pubsub and Stored Procedures to SQL Server — each maps to any object or custom field on the other side.

How changes propagate between Google Pubsub and SQL Server

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

SQL Server Google Pubsub Sub-second propagation

DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).

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.
  • SQL Server: No API rate limits; throughput depends on instance resources, licensing tier, and connection limits.
What ships with Google Pubsub ⇄ SQL Server

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Pubsub or SQL Server 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 SQL Server record.

Observability

Monitoring

Track your Google Pubsub ⇄ SQL Server 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 SQL Server.

How the Google Pubsub and SQL Server 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

SQL Server

Integration surface
SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
Authentication
Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide
How it works

How to connect Google Pubsub to SQL Server — 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 SQL Server 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
    SQL Server connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Pubsub and SQL Server 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 ⇄ SQL Server
    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 SQL Server
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Pubsub and SQL Server 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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→ 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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 351 integrations available for Google Pubsub and SQL Server.

Popular · 6 of 351
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