Two-way sync
Changes in Azure Cosmos DB or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB and Google Cloud Platform 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 Google Cloud Platform, 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 Google Cloud Platform in real time, and result tables in Google Cloud Platform 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 Google Cloud Platform and keep Azure Cosmos DB focused on its operational workload.
Rows from Azure Cosmos DB land in Google Cloud Platform 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 | Google Cloud Platform objects | |
|---|---|---|
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Pub/Sub topics Event streams used to move change events between systems in near real time. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Google Cloud Platform connection.
Changes in Azure Cosmos DB or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB or Google Cloud Platform 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 Google Cloud Platform record.
Track your Azure Cosmos DB ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and Google Cloud Platform.
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 Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform: 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 Google Cloud Platform side: BigQuery datasets, BigQuery tables, Cloud SQL databases, Cloud Storage objects, plus custom fields where Google Cloud Platform exposes them. On the Azure Cosmos DB side: Change feed entries, Stored procedures and triggers, Databases, Containers. 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 Google Cloud Platform: 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. Google Cloud Platform: Per-service REST and gRPC APIs; BigQuery speaks SQL and Cloud SQL exposes standard database wire protocols. Authentication: IAM service accounts with OAuth 2.0 tokens. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud Platform: Authentication is uniform across services through IAM service accounts, so one credential model covers BigQuery, Cloud SQL, Cloud Storage, and Pub/Sub. 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 Google Cloud Platform 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 Google Cloud Platform.