Two-way sync
Changes in Azure Cosmos DB or Rockset instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB and Rockset 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 Rockset, 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 Rockset in real time, and result tables in Rockset sync back into Azure Cosmos DB, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Rockset and keep Azure Cosmos DB focused on its operational workload.
Rows from Azure Cosmos DB land in Rockset as they change, replacing hand-built CDC and batch extract jobs.
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 | Rockset objects | |
|---|---|---|
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Documents JSON records addressable by _id, written via the Write API in sync pipelines. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Workspaces Namespaces that group collections and query lambdas per team or environment. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Aliases Stable names that point at collections, used to swap datasets without changing queries. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | Integrations Managed source connections (databases, streams, object storage) feeding collections. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | Virtual Instances Isolated compute units that separate ingest from query workloads. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Rockset connection.
Changes in Azure Cosmos DB or Rockset instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB or Rockset 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 Rockset record.
Track your Azure Cosmos DB ⇄ Rockset sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and Rockset.
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 Rockset 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 Rockset 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 Rockset: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Containers and Items (JSON documents)), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Rockset side: Virtual Instances, Collections, Documents, Workspaces, plus custom fields where Rockset 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.
Common patterns for Azure Cosmos DB and Rockset: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
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. Rockset: REST API (SQL over HTTP, plus a document Write API). Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
Rockset: Ingest is schemaless: JSON documents are indexed as-is with dynamic typing, so upstream schema drift does not break the pipeline. Azure Cosmos DB: Throughput is provisioned in request units per container or database, which means sync read and write volume has a direct cost and throttling dimension. Stacksync's field mapping accounts for these differences between Azure Cosmos DB and Rockset without custom code.
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 Rockset.