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Data warehouse ⇄ Database

Google Cloud Platform to RavenDB integration — real-time, two-way sync

Keep Google Cloud Platform and RavenDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Google Cloud Platform and RavenDB

Connect RavenDB and Google Cloud Platform with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want RavenDB'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 RavenDB where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in RavenDB sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into RavenDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Publish change events to Pub/Sub so downstream services react to record updates as they happen.
  • 02 Keep external search indexes or caches current from RavenDB change feeds without custom pollers.
  • 03 Stream RavenDB document changes into Postgres or a warehouse via data subscriptions for SQL analytics.

Common sync patterns

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

Offload heavy reads

Point analytical queries at the synced copy in Google Cloud Platform and keep RavenDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from RavenDB land in Google Cloud Platform as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between Google Cloud Platform and RavenDB

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.

Google Cloud Platform objects RavenDB objects How this pairing syncs
Firestore documents Document data read and written through the Firestore API for app-facing syncs. Revisions Historical versions of documents, useful for audit-oriented replication Firestore documents is specific to Google Cloud Platform and Revisions to RavenDB — each maps to any object or custom field on the other side.
Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Counters Numeric values attached to documents that change independently of the document body Spanner tables is specific to Google Cloud Platform and Counters to RavenDB — each maps to any object or custom field on the other side.
BigQuery datasets Namespaces that group tables; syncs target tables within a dataset. Time series Timestamped measurements stored per document, synced for metrics analysis BigQuery datasets is specific to Google Cloud Platform and Time series to RavenDB — each maps to any object or custom field on the other side.
BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Data subscriptions Server-side change feeds that push matching documents to consumers BigQuery tables is specific to Google Cloud Platform and Data subscriptions to RavenDB — each maps to any object or custom field on the other side.
Cloud SQL databases Managed Postgres, MySQL, and SQL Server instances synced like ordinary relational databases. Documents JSON records, the primary unit read and written during sync Cloud SQL databases is specific to Google Cloud Platform and Documents to RavenDB — each maps to any object or custom field on the other side.
Cloud Storage objects Staging area for file-based bulk loads into BigQuery and other services. Collections Groupings of documents by type, mapped to tables in relational targets Cloud Storage objects is specific to Google Cloud Platform and Collections to RavenDB — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud Platform and RavenDB

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.

Google Cloud Platform RavenDB Sub-second propagation

DetectionGoogle Cloud Platform pushes changes as they happen — webhook events backed by change data capture. Varies by service: log-based CDC on Cloud SQL (logical replication or binlog, also via Datastream), Pub/Sub for event delivery, polling for BigQuery.

DeliveryEach detected change is written to RavenDB through its API, with automatic retries and rate-limit backoff.

RavenDB Google Cloud Platform Sub-second propagation

DetectionChanges in RavenDB are captured at the source via change data capture — no polling loop against its API. Data subscriptions and the Changes API provide server-pushed change feeds.

DeliveryEach detected change is applied to Google Cloud Platform as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google Cloud Platform: Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits.
  • RavenDB: Throughput bounded by cluster resources rather than API quotas.
What ships with Google Cloud Platform ⇄ RavenDB

Connect Google Cloud Platform and RavenDB for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–RavenDB connection.

Real-time

Two-way sync

Changes in Google Cloud Platform or RavenDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud Platform or RavenDB 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 Google Cloud Platform or RavenDB record.

Observability

Monitoring

Track your Google Cloud Platform ⇄ RavenDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud Platform and RavenDB.

How the Google Cloud Platform and RavenDB connectors work

Google Cloud Platform

Integration surface
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
Change detection
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
Capabilities
read · write · CDC · webhooks
Rate limits
Quotas are set per service and per project; BigQuery, Pub/Sub, and Cloud SQL each enforce their own limits

RavenDB

Integration surface
HTTP REST API with official clients (.NET, Java, Node.js, Python, and others)
Authentication
X.509 client certificates on secured servers, instead of username and password
Change detection
data subscriptions and the Changes API provide server-pushed change feeds
Capabilities
read · write · CDC
Rate limits
throughput bounded by cluster resources rather than API quotas
How it works

How to connect Google Cloud Platform to RavenDB — 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.

  1. 01

    Connect your apps

    Authenticate Google Cloud Platform and RavenDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Google Cloud Platform connected
    RavenDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud Platform and RavenDB 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Google Cloud Platform ⇄ RavenDB
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Google Cloud Platform RavenDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud Platform and RavenDB integration FAQ

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.

Learn more about security
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ISO 27001
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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 463 integrations available for Google Cloud Platform and RavenDB.

Popular · 4 of 463
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