Two-way sync
Changes in CockroachDB or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Keep CockroachDB 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 CockroachDB'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 CockroachDB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in CockroachDB sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into CockroachDB, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in Google Cloud Platform and keep CockroachDB focused on its operational workload.
Rows from CockroachDB land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Google Cloud Platform sync into CockroachDB, 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.
| CockroachDB objects | Google Cloud Platform objects | |
|---|---|---|
| Databases Logical containers a sync connects to, addressed like PostgreSQL databases. | Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. | |
| Schemas Namespaces within a database used to isolate synced tables from application tables. | Pub/Sub topics Event streams used to move change events between systems in near real time. | |
| Tables The core read/write target; rows sync bi-directionally with SaaS objects or other databases. | Firestore documents Document data read and written through the Firestore API for app-facing syncs. | |
| Views Read-only projections used as curated sync sources. | Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. | |
| Indexes Secondary indexes that keep sync lookup queries fast on key columns. | BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. | |
| Sequences ID generators that matter when writes originate from an external system. | 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 CockroachDB–Google Cloud Platform connection.
Changes in CockroachDB or Google Cloud Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever CockroachDB 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 CockroachDB or Google Cloud Platform record.
Track your CockroachDB ⇄ Google Cloud Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between CockroachDB 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 CockroachDB 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 CockroachDB 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 CockroachDB and Google Cloud Platform: authenticate both systems, choose the objects to sync (such as CockroachDB's Databases and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both CockroachDB 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 CockroachDB: CDC via changefeeds, which stream row-level changes; polling as a fallback. 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: Cloud Storage objects, Pub/Sub topics, Firestore documents, Spanner tables, plus custom fields where Google Cloud Platform exposes them. On the CockroachDB side: Views, Indexes, Sequences, Changefeeds. 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 CockroachDB and Google Cloud Platform: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in Google Cloud Platform and keep CockroachDB focused on its operational workload.
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 CockroachDB and Google Cloud Platform.