Two-way sync
Changes in Materialize or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Keep Materialize 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 Materialize, 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 Materialize in real time, and result tables in Materialize sync back into OCI Database (Oracle Cloud), with schema and type mapping between the two systems handled for you.
Rows from OCI Database (Oracle Cloud) land in Materialize as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Materialize 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.
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.
| Materialize objects | OCI Database (Oracle Cloud) objects | How this pairing syncs | |
|---|---|---|---|
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Tables The primary sync surface; rows are read and written directly over SQL | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Materialized views Precomputed result sets sometimes used as stable read sources for replication | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Sequences Key generators that matter when writing new rows from external systems | Connections & Secrets is specific to Materialize and Sequences to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | PL/SQL procedures and packages Server-side logic that can react to synced data or transform it in place | Schemas & Databases is specific to Materialize and PL/SQL procedures and packages to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | JSON collections Document-style storage in the converged engine, synced alongside relational tables | Sources is specific to Materialize and JSON collections to OCI Database (Oracle Cloud) — each maps to any object or custom field on the other side. | |
| Sinks Outbound connections that emit view changes to Kafka topics. | Partitions Physical table subdivisions relevant when replicating large fact tables | Sinks is specific to Materialize and Partitions 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.
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
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 Materialize as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–OCI Database (Oracle Cloud) connection.
Changes in Materialize or OCI Database (Oracle Cloud) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Materialize 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 Materialize or OCI Database (Oracle Cloud) record.
Track your Materialize ⇄ OCI Database (Oracle Cloud) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Materialize 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 Materialize 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 Materialize 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 Materialize and OCI Database (Oracle Cloud): authenticate both systems, choose the objects to sync (such as Materialize's Tables and Materialized Views), 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 Materialize and OCI Database (Oracle Cloud): Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from OCI Database (Oracle Cloud) land in Materialize as they change, replacing hand-built CDC and batch extract jobs.
Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). 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.
Materialize: Materialize speaks the PostgreSQL wire protocol, so standard Postgres drivers and tools connect without a custom client. OCI Database (Oracle Cloud): OCI database services run the same Oracle Database engine as on-premises installs, so PL/SQL, sequences, and redo-log CDC behave identically to self-managed Oracle. Stacksync's field mapping accounts for these differences between Materialize 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 Materialize 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 367 integrations available for Materialize and OCI Database (Oracle Cloud).