Two-way sync
Changes in Oracle DB or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle DB and StarRocks 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 Oracle DB's rows in StarRocks, 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 Oracle DB where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Oracle DB sync into StarRocks in real time, and result tables in StarRocks sync back into Oracle DB, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in StarRocks and keep Oracle DB focused on its operational workload.
Rows from Oracle DB land in StarRocks as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in StarRocks sync into Oracle DB, 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.
| Oracle DB objects | StarRocks objects | |
|---|---|---|
| PL/SQL procedures and packages In-database logic that can consume or transform synced data | Databases Top-level namespaces addressed exactly as in MySQL clients. | |
| Partitions Physical subdivisions relevant when replicating high-volume tables | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | |
| JSON columns Document data stored in the converged engine and synced alongside relational rows | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | |
| Tables The primary read/write surface for row-level sync over SQL | Views Logical views for shaping analytical reads. | |
| Views Curated read-only projections exposed to downstream consumers | Partitions Time or range partitions that scope loads and retention. | |
| Materialized views Precomputed results occasionally used as stable replication sources | Columns Columnar storage with types mapped from source systems during sync. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle DB–StarRocks connection.
Changes in Oracle DB or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle DB or StarRocks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Oracle DB or StarRocks record.
Track your Oracle DB ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle DB and StarRocks.
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 Oracle DB and StarRocks 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 Oracle DB and StarRocks 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 Oracle DB and StarRocks: authenticate both systems, choose the objects to sync (such as Oracle DB's PL/SQL procedures and packages and Partitions), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the StarRocks side: Tables, Materialized views, Views, Partitions, plus custom fields where StarRocks exposes them. On the Oracle DB side: Partitions, JSON columns, Tables, Views. 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 Oracle DB and StarRocks: 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 StarRocks and keep Oracle DB focused on its operational workload.
Oracle DB: SQL wire protocol (Oracle Net) via JDBC, ODBC, and native OCI drivers. Authentication: Database username and password; wallets, Kerberos, and directory-based authentication in enterprise setups. StarRocks: MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion. Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
StarRocks: It speaks the MySQL wire protocol, so standard MySQL clients, drivers, and BI tools connect without a special driver. Oracle DB: Keys have traditionally come from sequences rather than auto-increment columns, though identity columns exist in newer releases. Stacksync's field mapping accounts for these differences between Oracle DB and StarRocks without custom code.
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 Oracle DB and StarRocks.