Two-way sync
Changes in Amazon Aurora or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora and Azure Synapse Analytics 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 Amazon Aurora'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 Amazon Aurora where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Amazon Aurora sync into Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into Amazon Aurora, 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 Amazon Aurora focused on its operational workload.
Rows from Amazon Aurora 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 Amazon Aurora, 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.
| Amazon Aurora objects | Azure Synapse Analytics objects | |
|---|---|---|
| Views Read-only query-backed sources for downstream syncs. | Schemas Namespaces that separate staging, integration, and presentation layers. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | |
| Databases Logical databases within a cluster that scope a sync connection. | Views Curated projections used when downstream tools should not read base tables directly. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Azure Synapse Analytics connection.
Changes in Amazon Aurora or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Azure Synapse Analytics data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Azure Synapse Analytics record.
Track your Amazon Aurora ⇄ Azure Synapse Analytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Azure Synapse Analytics.
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 Amazon Aurora and Azure Synapse Analytics 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 Amazon Aurora and Azure Synapse Analytics 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 Amazon Aurora and Azure Synapse Analytics: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Views and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Azure Synapse Analytics: The serverless SQL pool queries files in the data lake directly, so some 'tables' a sync sees are projections over Parquet or CSV rather than managed storage. Amazon Aurora: Change data capture uses the native engine mechanisms: MySQL binary log on Aurora MySQL and logical replication on Aurora PostgreSQL. Stacksync's field mapping accounts for these differences between Amazon Aurora and Azure Synapse Analytics 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 Amazon Aurora and Azure Synapse Analytics records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Azure Synapse Analytics connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Azure Synapse Analytics integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and Azure Synapse Analytics. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Amazon Aurora and Azure Synapse Analytics.