Two-way sync
Changes in Azure Cosmos DB or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB 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 Azure Cosmos DB'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 Azure Cosmos DB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Azure Cosmos DB sync into Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into Azure Cosmos DB, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Azure Synapse Analytics sync into Azure Cosmos DB, 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 Azure Cosmos DB 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.
| Azure Cosmos DB objects | Azure Synapse Analytics objects | |
|---|---|---|
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | Views Curated projections used when downstream tools should not read base tables directly. | |
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Schemas Namespaces that separate staging, integration, and presentation layers. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Azure Synapse Analytics connection.
Changes in Azure Cosmos DB or Azure Synapse Analytics instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB 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 Azure Cosmos DB or Azure Synapse Analytics record.
Track your Azure Cosmos DB ⇄ Azure Synapse Analytics sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB 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 Azure Cosmos DB 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 Azure Cosmos DB 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 Azure Cosmos DB and Azure Synapse Analytics: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Items (JSON documents) and Partition keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Azure Cosmos DB 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 Azure Cosmos DB, where whatever reads from that database gets them without querying the warehouse.
Azure Cosmos DB: REST API and SDKs over HTTPS (API for NoSQL, formerly the SQL API); also MongoDB, Cassandra, Gremlin, and Table API surfaces. Authentication: Account keys, resource tokens, or Microsoft Entra ID role-based access. 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. Azure Cosmos DB: The change feed is a first-class feature: it records inserts and updates (and, in newer modes, deletes) so incremental sync does not require scanning containers. Stacksync's field mapping accounts for these differences between Azure Cosmos DB 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 Azure Cosmos DB and Azure Synapse Analytics records are not retained after a sync operation.
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 Cosmos DB and Azure Synapse Analytics.