Two-way sync
Changes in Azure Cosmos DB or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB and Snowflake 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 Snowflake, 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 Snowflake in real time, and result tables in Snowflake sync back into Azure Cosmos DB, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Snowflake 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 Snowflake 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 | Snowflake objects | |
|---|---|---|
| Databases Top-level namespaces that scope containers and throughput provisioning. | Databases Top-level containers that scope which data a sync can touch. | |
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Schemas Namespaces within a database used to organize synced tables. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Tables The main landing and activation target for synced records. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Views Modeled projections used as the source side of outbound syncs. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Materialized Views Precomputed results synced outward for low-latency reads. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Snowflake connection.
Changes in Azure Cosmos DB or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB or Snowflake 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 Snowflake record.
Track your Azure Cosmos DB ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and Snowflake.
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 Snowflake 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 Snowflake 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 Snowflake: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Databases and Containers), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Azure Cosmos DB and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Cosmos DB: Built-in change feed exposing inserts and updates in order within each partition key range. On Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Snowflake side: Views, Materialized Views, Streams, Stages, plus custom fields where Snowflake exposes them. On the Azure Cosmos DB side: Items (JSON documents), Partition keys, Change feed entries, Stored procedures and triggers. Stacksync auto-detects both schemas and converts types between the two systems.
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 Snowflake: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Snowflake sync into Azure Cosmos DB, where whatever reads from that database gets them without querying the warehouse.
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 Snowflake.