Two-way sync
Changes in Couchbase or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Couchbase 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 Couchbase'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 Couchbase where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Couchbase sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into Couchbase, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Google Cloud Platform sync into Couchbase, 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 Google Cloud Platform and keep Couchbase 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.
| Couchbase objects | Google Cloud Platform objects | |
|---|---|---|
| Collections Table-like groupings of documents that syncs typically map one-to-one to destination tables. | BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. | |
| JSON Documents The core records; schemaless JSON keyed by document id, flattened or mapped to relational rows in syncs. | Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. | |
| Global Secondary Indexes Indexes that make SQL++ query-based extraction efficient. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | |
| XDCR replications Cluster-to-cluster replication streams, useful context when choosing a sync source cluster. | Pub/Sub topics Event streams used to move change events between systems in near real time. | |
| Full-text search indexes Search indexes over documents, relevant when syncing searchable content. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. | |
| Buckets Top-level data containers, roughly analogous to a database, that scope replication and memory quotas. | Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Couchbase–Google Cloud Platform connection.
Changes in Couchbase or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Couchbase 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 Couchbase or Google Cloud Platform record.
Track your Couchbase ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Couchbase 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 Couchbase 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 Couchbase 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 Couchbase and Google Cloud Platform: authenticate both systems, choose the objects to sync (such as Couchbase's Collections and JSON Documents), 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 Couchbase and Google Cloud Platform connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Couchbase–Google Cloud Platform integration in-house.
Yes — Stacksync ships production-grade connectors for both Couchbase and Google Cloud Platform. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Couchbase: Database Change Protocol (DCP) streams document mutations; SQL++ polling on document fields as an alternative. On Google Cloud Platform: Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery tables. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Google Cloud Platform side: Firestore documents, Spanner tables, BigQuery datasets, BigQuery tables, plus custom fields where Google Cloud Platform exposes them. On the Couchbase side: JSON Documents, Global Secondary Indexes, XDCR replications, Full-text search indexes. 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 Couchbase and Google Cloud Platform.