Skip to content
Data warehouse ⇄ Database

Google Cloud Platform to OCI Database (Oracle Cloud) integration — real-time, two-way sync

Keep Google Cloud Platform and OCI Database (Oracle Cloud) 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
  • POC with real engineers in minutes

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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Google Cloud Platform and OCI Database (Oracle Cloud)

Connect OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud)'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 OCI Database (Oracle Cloud) where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in OCI Database (Oracle Cloud) sync into Google Cloud Platform in real time, and result tables in Google Cloud Platform sync back into OCI Database (Oracle Cloud), 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 Replicate operational tables from OCI to an analytics warehouse with log-based CDC instead of nightly batch dumps.
  • 03 Run on-prem Oracle and OCI side by side during a cloud migration while keeping both ends writable.

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 OCI Database (Oracle Cloud) focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud)

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 OCI Database (Oracle Cloud) objects How this pairing syncs
BigQuery tables The primary analytics destination, written through load jobs or the Storage Write API and queried with SQL. Sequences Key generators that matter when writing new rows from external systems BigQuery tables is specific to Google Cloud Platform and Sequences to OCI Database (Oracle Cloud) — 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. PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place Cloud SQL databases is specific to Google Cloud Platform and PL/SQL procedures and packages to OCI Database (Oracle Cloud) — 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. JSON collections Document-style storage in the converged engine, synced alongside relational tables Cloud Storage objects is specific to Google Cloud Platform and JSON collections to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side.
Pub/Sub topics Event streams used to move change events between systems in near real time. Partitions Physical table subdivisions relevant when replicating large fact tables Pub/Sub topics is specific to Google Cloud Platform and Partitions to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side.
Firestore documents Document data read and written through the Firestore API for app-facing syncs. Tables The primary sync surface; rows are read and written directly over SQL Firestore documents is specific to Google Cloud Platform and Tables to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side.
Spanner tables Strongly consistent relational tables accessed via SQL for transactional workloads. Views Read-only projections used to expose curated subsets to downstream systems Spanner tables is specific to Google Cloud Platform and Views to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud Platform and OCI Database (Oracle Cloud)

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 OCI Database (Oracle Cloud) 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 applied to OCI Database (Oracle Cloud) as a row-level write, with types converted between the two schemas.

OCI Database (Oracle Cloud) Google Cloud Platform Sub-second propagation

DetectionChanges in OCI Database (Oracle Cloud) are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling.

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.
  • OCI Database (Oracle Cloud): Throughput bounded by instance sizing rather than API quotas.
What ships with Google Cloud Platform ⇄ OCI Database (Oracle Cloud)

Connect Google Cloud Platform and OCI Database (Oracle Cloud) for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google Cloud Platform–OCI Database (Oracle Cloud) connection.

Real-time

Two-way sync

Changes in Google Cloud Platform or OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud) record.

Observability

Monitoring

Track your Google Cloud Platform ⇄ OCI Database (Oracle Cloud) 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 OCI Database (Oracle Cloud).

How the Google Cloud Platform and OCI Database (Oracle Cloud) 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

OCI Database (Oracle Cloud)

Integration surface
SQL wire protocol (Oracle Net) via JDBC, ODBC, and native drivers; ORDS REST optionally exposes tables over HTTP
Authentication
database credentials, commonly with mutual TLS using a client wallet on Autonomous Database; OCI IAM integration available
Change detection
log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling
Capabilities
read · write · CDC
Rate limits
throughput bounded by instance sizing rather than API quotas
How it works

How to connect Google Cloud Platform to OCI Database (Oracle Cloud) — 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 OCI Database (Oracle Cloud) 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
    OCI Database (Oracle Cloud) connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud Platform and OCI Database (Oracle Cloud) 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 ⇄ OCI Database (Oracle Cloud)
    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 OCI Database (Oracle Cloud)
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Google Cloud Platform and OCI Database (Oracle Cloud) 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
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:

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 467 integrations available for Google Cloud Platform and OCI Database (Oracle Cloud).

Popular · 4 of 467
All Google Cloud Platform integrations All OCI Database (Oracle Cloud) integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own