Two-way sync
Changes in Amazon Redshift or Azure Cosmos DB instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Azure Cosmos DB 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 Amazon Redshift, 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 Amazon Redshift in real time, and result tables in Amazon Redshift sync back into Azure Cosmos DB, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Amazon Redshift and keep Azure Cosmos DB focused on its operational workload.
Rows from Azure Cosmos DB land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Amazon Redshift sync into Azure Cosmos DB, 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 Redshift objects | Azure Cosmos DB objects | |
|---|---|---|
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | |
| Schemas Namespaces used to organize synced tables and control grants. | Databases Top-level namespaces that scope containers and throughput provisioning. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Containers The unit of partitioning and throughput; each container maps to a synced collection. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Azure Cosmos DB connection.
Changes in Amazon Redshift or Azure Cosmos DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Azure Cosmos DB 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 Redshift or Azure Cosmos DB record.
Track your Amazon Redshift ⇄ Azure Cosmos DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Azure Cosmos DB.
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 Redshift and Azure Cosmos DB 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 Redshift and Azure Cosmos DB 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 Redshift and Azure Cosmos DB: authenticate both systems, choose the objects to sync (such as Amazon Redshift's External Tables (Spectrum) and Stored Procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Redshift and Azure Cosmos DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Redshift–Azure Cosmos DB integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Redshift and Azure Cosmos DB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Redshift: Polling or query-based diffing; Redshift does not expose a transaction log for external CDC consumers. On Azure Cosmos DB: Built-in change feed exposing inserts and updates in order within each partition key range. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon Redshift side: Schemas, Tables, Views, Materialized Views, plus custom fields where Amazon Redshift exposes them. On the Azure Cosmos DB side: Stored procedures and triggers, Databases, Containers, Items (JSON documents). 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.
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 Redshift and Azure Cosmos DB.