Two-way sync
Changes in Databricks or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Keep Databricks 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 Databricks, 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 Databricks in real time, and result tables in Databricks sync back into OCI Database (Oracle Cloud), with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Databricks and keep OCI Database (Oracle Cloud) focused on its operational workload.
Rows from OCI Database (Oracle Cloud) land in Databricks as they change, replacing hand-built CDC and batch extract jobs.
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.
| Databricks objects | OCI Database (Oracle Cloud) objects | |
|---|---|---|
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | Sequences Key generators that matter when writing new rows from external systems | |
| Delta Tables The primary read and write target; operational data lands here as managed or external tables. | PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place | |
| Views Curated read-only projections used as sync sources for downstream tools. | JSON collections Document-style storage in the converged engine, synced alongside relational tables | |
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Partitions Physical table subdivisions relevant when replicating large fact tables | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Tables The primary sync surface; rows are read and written directly over SQL | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | Views Read-only projections used to expose curated subsets to downstream systems |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–OCI Database (Oracle Cloud) connection.
Changes in Databricks or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Databricks 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 Databricks or OCI Database (Oracle Cloud) record.
Track your Databricks ⇄ OCI Database (Oracle Cloud) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Databricks 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 Databricks 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 Databricks 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 Databricks and OCI Database (Oracle Cloud): authenticate both systems, choose the objects to sync (such as Databricks's Schemas and Delta Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Databricks and OCI Database (Oracle Cloud) records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Databricks and OCI Database (Oracle Cloud) connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Databricks–OCI Database (Oracle Cloud) integration in-house.
Yes — Stacksync ships production-grade connectors for both Databricks and OCI Database (Oracle Cloud). The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Databricks: Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns. On OCI Database (Oracle Cloud): Log-based CDC from redo logs (LogMiner or GoldenGate), or timestamp polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Databricks side: Change Data Feed, Catalogs, Schemas, Delta Tables, plus custom fields where Databricks exposes them. On the OCI Database (Oracle Cloud) side: Sequences, PL/SQL procedures and packages, JSON collections, Partitions. Stacksync auto-detects both schemas and converts types between the two systems.
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 Databricks and OCI Database (Oracle Cloud).