Real-time
Two-way sync
Changes in Azure Cosmos DB or Google AlloyDB instantly reflect in both systems. No stale data, no manual imports.
Database
Azure Cosmos DB to Google AlloyDB integration — real-time, two-way sync
Keep Azure Cosmos DB and Google AlloyDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Azure Cosmos DB and Google AlloyDB
Keep Azure Cosmos DB and Google AlloyDB synchronized in real time, across engines, regions, or services, in one or both directions.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between Azure Cosmos DB and Google AlloyDB continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Common use cases
- 01 Mirror Cosmos DB items into Postgres so teams can query operational data with standard SQL.
- 02 Two-way sync between a Cosmos DB-backed product catalog and a PIM or commerce platform.
- 03 Migrate workloads from self-managed Postgres while keeping existing syncs pointed at a compatible endpoint.
- 04 Mirror CRM objects into AlloyDB tables so product and internal tools query customer data with plain SQL.
Common sync patterns
Regional or environment copies
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Cross-engine sync
Keep the same dataset live in both Azure Cosmos DB and Google AlloyDB, so each workload runs on the engine that suits it.
Migration with zero-downtime cutover
When one database is replacing the other, sync both directions during the transition and switch traffic when ready, without a freeze window.
What you can sync between Azure Cosmos DB and Google AlloyDB
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 AlloyDB objects | How this pairing syncs | |
|---|---|---|---|
| Databases Top-level namespaces that scope containers and throughput provisioning. | Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Sequences ID generation relevant when external systems insert rows. | Partition keys is specific to Azure Cosmos DB and Sequences to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Replication Slots Logical replication artifacts that back log-based change capture. | Change feed entries is specific to Azure Cosmos DB and Replication Slots to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | Schemas Namespaces used to separate synced SaaS data from application tables. | Stored procedures and triggers is specific to Azure Cosmos DB and Schemas to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Tables Primary read/write target for bi-directional sync with CRMs and other systems. | Containers is specific to Azure Cosmos DB and Tables to Google AlloyDB — each maps to any object or custom field on the other side. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | Views Curated projections used as read-only sync sources. | Items (JSON documents) is specific to Azure Cosmos DB and Views to Google AlloyDB — each maps to any object or custom field on the other side. |
How changes propagate between Azure Cosmos DB and Google AlloyDB
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Azure Cosmos DB Google AlloyDB Sub-second propagation
DetectionChanges in Azure Cosmos DB are captured at the source via change data capture — no polling loop against its API. Built-in change feed exposing inserts and updates in order within each partition key range.
DeliveryEach detected change is applied to Google AlloyDB as a row-level write, with types converted between the two schemas.
Google AlloyDB Azure Cosmos DB Sub-second propagation
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
DeliveryEach detected change is applied to Azure Cosmos DB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
What ships with Azure Cosmos DB ⇄ Google AlloyDB
Connect Azure Cosmos DB and Google AlloyDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–Google AlloyDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Azure Cosmos DB or Google AlloyDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Azure Cosmos DB or Google AlloyDB record.
Observability
Monitoring
Track your Azure Cosmos DB ⇄ Google AlloyDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and Google AlloyDB.
How the Azure Cosmos DB and Google AlloyDB connectors work
Azure Cosmos DB
- Integration surface
- 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
- Change detection
- Built-in change feed exposing inserts and updates in order within each partition key range
- Capabilities
- read · write · CDC
Google AlloyDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
- Authentication
- Database credentials or IAM database authentication
- Change detection
- Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API-style rate limits; throughput is bounded by instance size
How it works
How to connect Azure Cosmos DB to Google AlloyDB — three steps, no code
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.
- 01
Connect your apps
Authenticate Azure Cosmos DB and Google AlloyDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Azure Cosmos DB
connected
Google AlloyDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Azure Cosmos DB and Google AlloyDB 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.
objects · Azure Cosmos DB ⇄ Google AlloyDBCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Azure Cosmos DB Google AlloyDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Azure Cosmos DB and Google AlloyDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Azure Cosmos DB and Google AlloyDB: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Databases and Partition keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Cosmos DB and Google AlloyDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Cosmos DB–Google AlloyDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Azure Cosmos DB and Google AlloyDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Azure Cosmos DB: Built-in change feed exposing inserts and updates in order within each partition key range. On Google AlloyDB: Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Azure Cosmos DB side: Change feed entries, Stored procedures and triggers, Databases, Containers, plus custom fields where Azure Cosmos DB exposes them. On the Google AlloyDB side: Replication Slots, Databases, Schemas, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
Every pair below is a real-time, two-way sync. Search all 381 integrations available for Azure Cosmos DB and Google AlloyDB.
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