Two-way sync
Changes in Google Cloud Platform or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Google Cloud Platform 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want SQL Server'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 SQL Server where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in SQL Server sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into SQL Server, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Google Cloud Platform sync into SQL Server, 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.
Point analytical queries at the synced copy in Google Cloud Platform and keep SQL Server focused on its operational workload.
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 Cloud Platform objects | SQL Server objects | |
|---|---|---|
| Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | Columns Field-level mapping targets with T-SQL types. | |
| BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | |
| BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | |
| Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | |
| Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | Databases Instance-level databases that scope a sync's reads and writes. | |
| Pub/Sub topics Event streams used to move change events between systems in near real time. | Schemas Namespaces (dbo and custom) used to organize synced tables. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–SQL Server connection.
Changes in Google Cloud Platform or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google Cloud Platform or SQL Server 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 Cloud Platform or SQL Server record.
Track your Google Cloud Platform ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and SQL Server.
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 Cloud Platform 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.
Pick the Google Cloud Platform 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.
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 Cloud Platform and SQL Server: authenticate both systems, choose the objects to sync (such as Google Cloud Platform's Spanner tables and BigQuery datasets), map fields visually, and changes propagate both ways in milliseconds — no code required.
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. SQL Server: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: Cloud SQL Postgres and MySQL expose log-based CDC (logical replication and binlog), which Datastream and external sync tools consume for real-time replication. SQL Server: CDC setup requires a one-time script run by a DBA with sysadmin privileges. Stacksync's field mapping accounts for these differences between Google Cloud Platform and SQL Server 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 Google Cloud Platform and SQL Server records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google Cloud Platform and SQL Server connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google Cloud Platform–SQL Server integration in-house.
Yes — Stacksync ships production-grade connectors for both Google Cloud Platform and SQL Server. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Google Cloud Platform and SQL Server.