Two-way sync
Changes in Azure Synapse Analytics or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Azure Synapse Analytics and keep Google Cloud Spanner focused on its operational workload.
Rows from Google Cloud Spanner land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
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 | |
|---|---|---|
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Rows The unit of read and write in each sync cycle, keyed by primary key. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Interleaved tables Child rows physically co-located with parents; synced as related records. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Secondary indexes Used to make incremental read queries efficient on non-key columns. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Change streams Capture inserts, updates, and deletes for log-style change data capture. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | Views Read-only projections useful for shaping data before it leaves Spanner. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Databases Top-level containers that scope schema and sync configuration. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–Google Cloud Spanner connection.
Changes in Azure Synapse Analytics or Google Cloud Spanner instantly reflect in both systems. No stale data, no manual imports.
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.
Handle millions of events per minute without losing a single Azure Synapse Analytics or Google Cloud Spanner record.
Track your Azure Synapse Analytics ⇄ Google Cloud Spanner sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics and Google Cloud Spanner.
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 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.
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.
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 Synapse Analytics and Google Cloud Spanner: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's SQL pools and Tables (dedicated SQL pool)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Azure Synapse Analytics: 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. Google Cloud Spanner: GRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects). Authentication: Google Cloud IAM (service accounts). Stacksync manages authentication, retries, and rate limits on both sides.
Azure Synapse Analytics: Batch-style loading (staged, set-based inserts) performs far better than row-by-row writes, which shapes how a sync should deliver data into it. Google Cloud Spanner: Interleaved tables physically store child rows with their parent rows, which affects how related records are read. Stacksync's field mapping accounts for these differences between Azure Synapse Analytics and Google Cloud Spanner 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 Synapse Analytics and Google Cloud Spanner records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Synapse Analytics and Google Cloud Spanner connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Synapse Analytics–Google Cloud Spanner integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Synapse Analytics and Google Cloud Spanner. 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 Azure Synapse Analytics and Google Cloud Spanner.