Two-way sync
Changes in BigQuery or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Keep BigQuery 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.
Operational databases and analytical warehouses want the same data at different moments. Analysts want OCI Database (Oracle Cloud)'s rows in BigQuery, 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 BigQuery in real time, and result tables in BigQuery sync back into OCI Database (Oracle Cloud), with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in BigQuery and keep OCI Database (Oracle Cloud) focused on its operational workload.
Rows from OCI Database (Oracle Cloud) land in BigQuery as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in BigQuery sync into OCI Database (Oracle Cloud), 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.
| BigQuery objects | OCI Database (Oracle Cloud) objects | |
|---|---|---|
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Views Read-only projections used to expose curated subsets to downstream systems | |
| Clustered tables Supported; clustering is transparent to the sync. | Materialized views Precomputed result sets sometimes used as stable read sources for replication | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Schemas Namespace boundaries that scope which objects a sync connection can access | |
| Projects Connection scope: the service account grants access per project. | Sequences Key generators that matter when writing new rows from external systems | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–OCI Database (Oracle Cloud) connection.
Changes in BigQuery or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or OCI Database (Oracle Cloud) data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or OCI Database (Oracle Cloud) record.
Track your BigQuery ⇄ OCI Database (Oracle Cloud) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and OCI Database (Oracle Cloud).
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 BigQuery 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.
Pick the BigQuery 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.
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 BigQuery and OCI Database (Oracle Cloud): authenticate both systems, choose the objects to sync (such as BigQuery's Partitioned tables and Clustered tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 BigQuery and OCI Database (Oracle Cloud): 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 BigQuery and keep OCI Database (Oracle Cloud) focused on its operational workload.
BigQuery: GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs. Authentication: Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver. OCI Database (Oracle Cloud): 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. Stacksync manages authentication, retries, and rate limits on both sides.
BigQuery: Google quota of 1,500 table modifications per BigQuery table per day (DELETE, INSERT, MERGE, TRUNCATE TABLE, UPDATE). OCI Database (Oracle Cloud): The converged data model holds relational, JSON, spatial, and graph data in one engine, so a single connection can cover mixed workloads. Stacksync's field mapping accounts for these differences between BigQuery and OCI Database (Oracle Cloud) without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means BigQuery and OCI Database (Oracle Cloud) records are not retained after a sync operation.
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 BigQuery and OCI Database (Oracle Cloud).