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Database

Azure SQL Database to Google AlloyDB integration — real-time, two-way sync

Keep Azure SQL Database and Google AlloyDB 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 Azure SQL Database and Google AlloyDB

Keep Azure SQL Database and Google AlloyDB synchronized in real time, across engines, regions, or services, in one or both directions.

Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.

Stacksync syncs tables or collections between Azure SQL Database and Google AlloyDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.

Common use cases

  • 01 Feed an Azure SQL operational database with orders and inventory from an ERP in near real time.
  • 02 Expose SaaS data (billing, support tickets) as tables in Azure SQL for reporting teams already on Microsoft tooling.
  • 03 Consolidate SaaS data into AlloyDB and serve analytics from its columnar engine without a separate OLAP store.
  • 04 Migrate workloads from self-managed Postgres while keeping existing syncs pointed at a compatible endpoint.

Common sync patterns

Cross-engine sync

Keep the same dataset live in both Azure SQL Database and Google AlloyDB, so each workload runs on the engine that suits it.

Migration with zero-downtime cutover

When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.

Shared reference data between services

Services that own separate databases stay consistent on the records they share, without a custom replication layer.

What you can sync between Azure SQL Database and Google AlloyDB

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.

Azure SQL Database objects Google AlloyDB objects How this pairing syncs
Tables The primary sync target; rows map one-to-one to records in the paired system. Tables Primary read/write target for bi-directional sync with CRMs and other systems. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Read-only projections used when the sync should expose a curated shape rather than raw tables. Views Curated projections used as read-only sync sources. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Schemas Namespaces that organize tables and control which objects a sync user can reach. Schemas Namespaces used to separate synced SaaS data from application tables. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Rows and columns Standard relational records with typed columns; primary keys anchor upserts. Indexes Keep sync key lookups fast on high-volume tables. Rows and columns is specific to Azure SQL Database and Indexes to Google AlloyDB — each maps to any object or custom field on the other side.
Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. Sequences ID generation relevant when external systems insert rows. Stored procedures is specific to Azure SQL Database and Sequences to Google AlloyDB — each maps to any object or custom field on the other side.
Change tracking / CDC tables System-maintained change records used to drive incremental sync. Replication Slots Logical replication artifacts that back log-based change capture. Change tracking / CDC tables is specific to Azure SQL Database and Replication Slots to Google AlloyDB — each maps to any object or custom field on the other side.

How changes propagate between Azure SQL Database and Google AlloyDB

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.

Azure SQL Database Google AlloyDB Sub-second propagation

DetectionChanges in Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.

DeliveryEach detected change is applied to Google AlloyDB as a row-level write, with types converted between the two schemas.

Google AlloyDB Azure SQL Database Sub-second propagation

DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.

DeliveryEach detected change is applied to Azure SQL Database as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
What ships with Azure SQL Database ⇄ Google AlloyDB

Connect Azure SQL Database and Google AlloyDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Google AlloyDB connection.

Real-time

Two-way sync

Changes in Azure SQL Database or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure SQL Database or Google AlloyDB 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 Azure SQL Database or Google AlloyDB record.

Observability

Monitoring

Track your Azure SQL Database ⇄ Google AlloyDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Google AlloyDB.

How the Azure SQL Database and Google AlloyDB connectors work

Azure SQL Database

Integration surface
SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers
Authentication
SQL authentication (database credentials) or Microsoft Entra ID authentication
Change detection
Change data capture or change tracking, both supported on Azure SQL Database; polling as a fallback
Capabilities
read · write · CDC

Google AlloyDB

Integration surface
SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
Capabilities
read · write · CDC
Rate limits
No API-style rate limits; throughput is bounded by instance size
How it works

How to connect Azure SQL Database to Google AlloyDB — 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 Azure SQL Database and Google AlloyDB 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
    Azure SQL Database connected
    Google AlloyDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure SQL Database and Google AlloyDB 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 · Azure SQL Database ⇄ Google AlloyDB
    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
    Azure SQL Database Google AlloyDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure SQL Database and Google AlloyDB 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.

Learn more about security
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:

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 386 integrations available for Azure SQL Database and Google AlloyDB.

Popular · 5 of 386
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