Two-way sync
Changes in Actian Vector or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Keep Actian Vector and Oracle DB 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 Actian Vector, 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 Actian Vector in real time, and result tables in Actian Vector sync back into Oracle DB, with schema and type mapping between the two systems handled for you.
Rows from Oracle DB land in Actian Vector as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Actian Vector sync into Oracle DB, 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.
| Actian Vector objects | Oracle DB objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to organize synced tables. | Schemas Per-user namespaces that scope sync permissions and object visibility | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Tables Columnar tables that serve as sync sources or destinations. | Tables The primary read/write surface for row-level sync over SQL | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Views SQL views readable as query-backed sync sources. | Views Curated read-only projections exposed to downstream consumers | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Databases Top-level containers targeted by a sync connection. | Materialized views Precomputed results occasionally used as stable replication sources | Databases is specific to Actian Vector and Materialized views to Oracle DB — each maps to any object or custom field on the other side. | |
| Columns Typed columns mapped field-by-field during schema mapping. | Sequences Key generators to respect when external systems insert rows | Columns is specific to Actian Vector and Sequences to Oracle DB — each maps to any object or custom field on the other side. | |
| Users and Roles Database principals used to grant the sync connection least-privilege access. | PL/SQL procedures and packages In-database logic that can consume or transform synced data | Users and Roles is specific to Actian Vector and PL/SQL procedures and packages to Oracle DB — 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 Actian Vector for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or key columns.
DeliveryEach detected change is applied to Oracle DB as a row-level write, with types converted between the two schemas.
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
DeliveryEach detected change is applied to Actian Vector as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Actian Vector–Oracle DB connection.
Changes in Actian Vector or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Actian Vector or Oracle DB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Actian Vector or Oracle DB record.
Track your Actian Vector ⇄ Oracle DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Actian Vector and Oracle DB.
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 Actian Vector and Oracle DB 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 Actian Vector and Oracle DB 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 Actian Vector and Oracle DB: authenticate both systems, choose the objects to sync (such as Actian Vector's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Actian Vector: Polling on timestamp or key columns; no log-based CDC interface is generally exposed to external consumers. On Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Actian Vector side: Users and Roles, Databases, Schemas, Tables, plus custom fields where Actian Vector exposes them. On the Oracle DB side: Views, Materialized views, Schemas, Sequences. 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 Actian Vector and Oracle DB: Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed; Fresh analytics without loading windows. Rows from Oracle DB land in Actian Vector as they change, replacing hand-built CDC and batch extract jobs.
Actian Vector: SQL over JDBC/ODBC. Authentication: Database credentials. 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. 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 220 integrations available for Actian Vector and Oracle DB.