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Data warehouse ⇄ Database

Azure Synapse Analytics to Google Cloud Spanner integration — real-time, two-way sync

Keep Azure Synapse Analytics and Google Cloud Spanner 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Azure Synapse Analytics and Google Cloud Spanner

Connect Google Cloud Spanner and Azure Synapse Analytics with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want Google Cloud Spanner's rows in Azure Synapse Analytics, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in Google Cloud Spanner where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in Google Cloud Spanner sync into Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into Google Cloud Spanner, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Publish warehouse aggregates (account health scores, LTV) from Synapse back into operational tools like a CRM.
  • 02 Sync curated Synapse views into an operational Postgres or Azure SQL database that applications can query cheaply.
  • 03 Use change streams to feed near-real-time copies of operational tables into an analytics warehouse.
  • 04 Run a two-way sync between Spanner and a SaaS tool so edits made by ops teams land back in the application database.

Common sync patterns

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Azure Synapse Analytics and keep Google Cloud Spanner focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from Google Cloud Spanner land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between Azure Synapse Analytics and Google Cloud Spanner

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 Synapse Analytics objects Google Cloud Spanner objects How this pairing syncs
Views Curated projections used when downstream tools should not read base tables directly. Views Read-only projections useful for shaping data before it leaves Spanner. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. Change streams Capture inserts, updates, and deletes for log-style change data capture. Tables (dedicated SQL pool) is specific to Azure Synapse Analytics and Change streams to Google Cloud Spanner — each maps to any object or custom field on the other side.
External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. Databases Top-level containers that scope schema and sync configuration. External tables is specific to Azure Synapse Analytics and Databases to Google Cloud Spanner — each maps to any object or custom field on the other side.
Schemas Namespaces that separate staging, integration, and presentation layers. Tables Relational tables mapped one-to-one to sync targets. Schemas is specific to Azure Synapse Analytics and Tables to Google Cloud Spanner — each maps to any object or custom field on the other side.
Materialized views Precomputed aggregates that speed reads of frequently synced result sets. Rows The unit of read and write in each sync cycle, keyed by primary key. Materialized views is specific to Azure Synapse Analytics and Rows to Google Cloud Spanner — each maps to any object or custom field on the other side.
SQL pools Dedicated or serverless compute contexts that determine how and where queries run. Interleaved tables Child rows physically co-located with parents; synced as related records. SQL pools is specific to Azure Synapse Analytics and Interleaved tables to Google Cloud Spanner — each maps to any object or custom field on the other side.

How changes propagate between Azure Synapse Analytics and Google Cloud Spanner

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 Synapse Analytics Google Cloud Spanner Interval-based propagation

DetectionStacksync polls Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.

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

Google Cloud Spanner Azure Synapse Analytics Sub-second propagation

DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.

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

Rate-limit considerations

  • Google Cloud Spanner: Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
What ships with Azure Synapse Analytics ⇄ Google Cloud Spanner

Connect Azure Synapse Analytics and Google Cloud Spanner for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Google Cloud Spanner connection.

Real-time

Two-way sync

Changes in Azure Synapse Analytics or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Azure Synapse Analytics or Google Cloud Spanner 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 Synapse Analytics or Google Cloud Spanner record.

Observability

Monitoring

Track your Azure Synapse Analytics ⇄ Google Cloud Spanner sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Google Cloud Spanner.

How the Azure Synapse Analytics and Google Cloud Spanner connectors work

Azure Synapse Analytics

Integration surface
SQL wire protocol (TDS) with T-SQL for SQL pools; additional Spark and pipeline surfaces exist but syncs use the SQL endpoint
Authentication
SQL authentication or Microsoft Entra ID
Change detection
Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers
Capabilities
read · write

Google Cloud Spanner

Integration surface
gRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects)
Authentication
Google Cloud IAM (service accounts)
Change detection
Change streams (log-style CDC), or timestamp-based polling queries
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
How it works

How to connect Azure Synapse Analytics to Google Cloud Spanner — 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 Synapse Analytics and Google Cloud Spanner 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 Synapse Analytics connected
    Google Cloud Spanner connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Azure Synapse Analytics and Google Cloud Spanner 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 Synapse Analytics ⇄ Google Cloud Spanner
    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 Synapse Analytics Google Cloud Spanner
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Azure Synapse Analytics and Google Cloud Spanner 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 462 integrations available for Azure Synapse Analytics and Google Cloud Spanner.

Popular · 4 of 462
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