Two-way sync
Changes in Amazon RDS or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS 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 RDS'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 RDS 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 RDS sync into Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into Amazon RDS, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Azure Synapse Analytics sync into Amazon RDS, 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 Azure Synapse Analytics and keep Amazon RDS 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.
| Amazon RDS objects | Azure Synapse Analytics objects | |
|---|---|---|
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | |
| Schemas Namespaces within a database used to isolate synced tables. | Views Curated projections used when downstream tools should not read base tables directly. | |
| Tables The core sync target; rows map to records in connected SaaS systems. | Schemas Namespaces that separate staging, integration, and presentation layers. | |
| Views Read-side projections exposed to outbound syncs. | Materialized views Precomputed aggregates that speed reads of frequently synced result sets. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Azure Synapse Analytics connection.
Changes in Amazon RDS or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS 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 RDS or Azure Synapse Analytics record.
Track your Amazon RDS ⇄ Azure Synapse Analytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS 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 RDS 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 RDS 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 RDS and Azure Synapse Analytics: authenticate both systems, choose the objects to sync (such as Amazon RDS's Read Replicas and Stored Procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon RDS and Azure Synapse Analytics: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Azure Synapse Analytics sync into Amazon RDS, where whatever reads from that database gets them without querying the warehouse.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. 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. 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. Amazon RDS: IAM database authentication can replace static passwords on supported engines, letting integrations authenticate with short-lived tokens. Stacksync's field mapping accounts for these differences between Amazon RDS 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 RDS 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 RDS and Azure Synapse Analytics connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon RDS–Azure Synapse Analytics integration in-house.
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 RDS and Azure Synapse Analytics.