Real-time sync
Changes in Oracle DB or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep Oracle DB and Tableau in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Tableau is a read-only source: Stacksync reads its data in real time and delivers it into Oracle DB, so Oracle DB always reflects the current state of Tableau — without exports, scripts, or schedulers.
A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Tableau is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from Oracle DB into Tableau usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.
A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.
Attributes teams slice by, such as plan, region, or account owner, stay current in Tableau because they sync from Oracle DB as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Tableau sync into Oracle DB as rows, so applications and internal tools can read behavioral data next to the records they already keep.
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 | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Views Curated read-only projections exposed to downstream consumers | Views Worksheets and dashboards inside workbooks; their data and crosstab export as CSV via the REST query-view-data endpoint. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in the writable direction. | |
| Partitions Physical subdivisions relevant when replicating high-volume tables | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Partitions is specific to Oracle DB and Projects to Tableau — each maps to any object or custom field on the other side. | |
| JSON columns Document data stored in the converged engine and synced alongside relational rows | Users Site users with site roles and group membership; read via REST for access reviews and to reconcile identities against an HR or IdP source. | JSON columns is specific to Oracle DB and Users to Tableau — each maps to any object or custom field on the other side. | |
| Tables The primary read/write surface for row-level sync over SQL | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Tables is specific to Oracle DB and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed results occasionally used as stable replication sources | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Materialized views is specific to Oracle DB and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side. | |
| Schemas Per-user namespaces that scope sync permissions and object visibility | Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. | Schemas is specific to Oracle DB and Fields and Columns to Tableau — 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 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.
DeliveryTableau does not accept inbound record writes, so this direction carries requests rather than records: Tableau's output flows back as field updates on the originating Oracle DB records.
DetectionTableau notifies Stacksync of record changes through webhook events. Webhooks fire on workbook and data source create/update/delete and extract refresh events.
DeliveryEach detected change is applied to Oracle DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Oracle DB–Tableau connection.
Changes in Oracle DB or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Oracle DB or Tableau 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 Tableau record.
Track your Oracle DB ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Oracle DB and Tableau.
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 Tableau 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 Tableau 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 integration between Oracle DB and Tableau — Tableau is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate 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 Oracle DB and Tableau records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Oracle DB and Tableau connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Oracle DB–Tableau integration in-house.
Yes — Stacksync ships production-grade connectors for both Oracle DB and Tableau. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. On Tableau: Webhooks fire on workbook and data source create/update/delete and extract refresh events; otherwise content and metadata are polled via REST list endpoints (updatedAt) and the Metadata API. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Tableau side: Workbooks, Views, Projects, Users, plus custom fields where Tableau exposes them. On the Oracle DB side: JSON columns, Tables, Views, Materialized views. 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 390 integrations available for Oracle DB and Tableau.