Two-way sync
Changes in OCI Database (Oracle Cloud) or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep OCI Database (Oracle Cloud) and Snowflake 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 Snowflake, 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 Snowflake in real time, and result tables in Snowflake sync back into OCI Database (Oracle Cloud), with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in Snowflake sync into OCI Database (Oracle Cloud), 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 Snowflake and keep OCI Database (Oracle Cloud) 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.
| OCI Database (Oracle Cloud) objects | Snowflake objects | |
|---|---|---|
| Sequences Key generators that matter when writing new rows from external systems | Tables The main landing and activation target for synced records. | |
| PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place | Views Modeled projections used as the source side of outbound syncs. | |
| JSON collections Document-style storage in the converged engine, synced alongside relational tables | Materialized Views Precomputed results synced outward for low-latency reads. | |
| Partitions Physical table subdivisions relevant when replicating large fact tables | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | |
| Tables The primary sync surface; rows are read and written directly over SQL | Stages File staging areas used for bulk loads into synced tables. | |
| Views Read-only projections used to expose curated subsets to downstream systems | Tasks Scheduled SQL used to transform synced data after it lands. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every OCI Database (Oracle Cloud)–Snowflake connection.
Changes in OCI Database (Oracle Cloud) or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever OCI Database (Oracle Cloud) or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single OCI Database (Oracle Cloud) or Snowflake record.
Track your OCI Database (Oracle Cloud) ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between OCI Database (Oracle Cloud) and Snowflake.
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 OCI Database (Oracle Cloud) and Snowflake 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 OCI Database (Oracle Cloud) and Snowflake 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 OCI Database (Oracle Cloud) and Snowflake: authenticate both systems, choose the objects to sync (such as OCI Database (Oracle Cloud)'s Sequences and PL/SQL procedures and packages), map fields visually, and changes propagate both ways in milliseconds — no code required.
Snowflake: Compute runs on virtual warehouses that are billed and scaled separately from storage, so sync workloads can be isolated on their own warehouse. OCI Database (Oracle Cloud): Autonomous Database connections commonly use mutual TLS with a downloaded client wallet, which differs from a plain host-and-port database setup. Stacksync's field mapping accounts for these differences between OCI Database (Oracle Cloud) and Snowflake 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 OCI Database (Oracle Cloud) and Snowflake records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed OCI Database (Oracle Cloud) and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom OCI Database (Oracle Cloud)–Snowflake integration in-house.
Yes — Stacksync ships production-grade connectors for both OCI Database (Oracle Cloud) and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on OCI Database (Oracle Cloud): Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling. On Snowflake: Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 OCI Database (Oracle Cloud) and Snowflake.