Two-way sync
Changes in Azure Synapse Analytics or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics 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 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 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 Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into SQL Server, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Azure Synapse Analytics and keep SQL Server focused on its operational workload.
Rows from SQL Server land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Azure Synapse Analytics sync into SQL Server, where whatever reads from that database gets them without querying the warehouse.
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 | SQL Server objects | |
|---|---|---|
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | Schemas Namespaces (dbo and custom) used to organize synced tables. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | Tables The primary sync target; rows map to records in connected systems. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | Views Read-side projections used as outbound sync sources. | |
| Views Curated projections used when downstream tools should not read base tables directly. | Columns Field-level mapping targets with T-SQL types. | |
| Schemas Namespaces that separate staging, integration, and presentation layers. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–SQL Server connection.
Changes in Azure Synapse Analytics or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics 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 Azure Synapse Analytics or SQL Server record.
Track your Azure Synapse Analytics ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics and SQL Server: 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.
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 SQL Server 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 SQL Server connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Synapse Analytics–SQL Server integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Synapse Analytics and SQL Server. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. On SQL Server: SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure Synapse Analytics side: Materialized views, SQL pools, Tables (dedicated SQL pool), External tables, plus custom fields where Azure Synapse Analytics exposes them. On the SQL Server side: CDC Change Tables, Stored Procedures, Databases, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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 SQL Server.