Two-way sync
Changes in Apache Druid or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid 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 Apache Druid, 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 Apache Druid in real time, and result tables in Apache Druid 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 Apache Druid 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 Apache Druid 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.
| Apache Druid objects | OCI Database (Oracle Cloud) objects | How this pairing syncs | |
|---|---|---|---|
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Schemas Namespace boundaries that scope which objects a sync connection can access | Lookups is specific to Apache Druid and Schemas to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Sequences Key generators that matter when writing new rows from external systems | Tasks is specific to Apache Druid and Sequences to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place | Datasources is specific to Apache Druid and PL/SQL procedures and packages to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | JSON collections Document-style storage in the converged engine, synced alongside relational tables | Segments is specific to Apache Druid and JSON collections to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Partitions Physical table subdivisions relevant when replicating large fact tables | Dimensions is specific to Apache Druid and Partitions to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Tables The primary sync surface; rows are read and written directly over SQL | Metrics is specific to Apache Druid and Tables to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. |
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.
DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.
DeliveryEach detected change is applied to OCI Database (Oracle Cloud) as a row-level write, with types converted between the two schemas.
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 Apache Druid as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–OCI Database (Oracle Cloud) connection.
Changes in Apache Druid or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid 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 Apache Druid or OCI Database (Oracle Cloud) record.
Track your Apache Druid ⇄ OCI Database (Oracle Cloud) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid 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 Apache Druid 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 Apache Druid 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 Apache Druid and OCI Database (Oracle Cloud): authenticate both systems, choose the objects to sync (such as Apache Druid's Lookups and Tasks), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. 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 Apache Druid side: Datasources, Segments, Dimensions, Metrics, plus custom fields where Apache Druid exposes them. On the OCI Database (Oracle Cloud) side: Materialized views, Schemas, Sequences, PL/SQL procedures and packages. Stacksync auto-detects both schemas and converts types between the two systems.
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 Apache Druid and OCI Database (Oracle Cloud): Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in Apache Druid sync into OCI Database (Oracle Cloud), where whatever reads from that database gets them without querying the warehouse.
Apache Druid: REST API (SQL over HTTP and native JSON queries); JDBC via Avatica. Authentication: Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy. 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.
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 370 integrations available for Apache Druid and OCI Database (Oracle Cloud).