Two-way sync
Changes in Azure SQL Database or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database and Google Cloud Platform in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want Azure SQL Database's rows in Google Cloud Platform, 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 Azure SQL Database where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Azure SQL Database sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into Azure SQL Database, with schema and type mapping between the two systems handled for you.
Rows from Azure SQL Database land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Google Cloud Platform sync into Azure SQL Database, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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 Cloud Platform objects | |
|---|---|---|
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Pub/Sub topics Event streams used to move change events between systems in near real time. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. | |
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Google Cloud Platform connection.
Changes in Azure SQL Database or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database or Google Cloud Platform data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure SQL Database or Google Cloud Platform record.
Track your Azure SQL Database ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Google Cloud Platform.
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 Azure SQL Database and Google Cloud Platform 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 Azure SQL Database and Google Cloud Platform 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 Azure SQL Database and Google Cloud Platform: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Stored procedures and Change tracking / CDC tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Azure SQL Database and Google Cloud Platform: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Azure SQL Database land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.
Azure SQL Database: 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. Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: BigQuery is append-oriented: row mutations go through DML or the Storage Write API, and streamed rows pass through a buffer before some operations can touch them. Azure SQL Database: As a managed service, server-level features are constrained compared with a full SQL Server instance, so connectors authenticate to a logical server endpoint rather than an OS-level host. Stacksync's field mapping accounts for these differences between Azure SQL Database and Google Cloud Platform without custom code.
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 Azure SQL Database and Google Cloud Platform records are not retained after a sync operation.
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 386 integrations available for Azure SQL Database and Google Cloud Platform.