Real-time sync
Changes in Microsoft Power Bi or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft Power Bi 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.
Microsoft Power Bi 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 Microsoft Power Bi — 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. Microsoft Power Bi is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from Oracle DB into Microsoft Power Bi 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.
Attributes teams slice by, such as plan, region, or account owner, stay current in Microsoft Power Bi 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 Microsoft Power Bi sync into Oracle DB as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Segments, cohorts, or scores computed in Microsoft Power Bi sync back into Oracle DB, where the services that read from the database act on them at query speed without calling the analytics API.
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.
| Microsoft Power Bi objects | Oracle DB objects | How this pairing syncs | |
|---|---|---|---|
| Refresh History Dataset refresh runs read via GET /datasets/{id}/refreshes, including status, type, and timing, to alert on failed or slow scheduled refreshes. | PL/SQL procedures and packages In-database logic that can consume or transform synced data | Refresh History is specific to Microsoft Power Bi and PL/SQL procedures and packages to Oracle DB — each maps to any object or custom field on the other side. | |
| Workspaces (Groups) Containers for content read via GET /groups (tenant-wide via GET /admin/groups); mirrored to reproduce the tenant's content hierarchy in a catalog. | Partitions Physical subdivisions relevant when replicating high-volume tables | Workspaces (Groups) is specific to Microsoft Power Bi and Partitions to Oracle DB — each maps to any object or custom field on the other side. | |
| Activity Events (Audit Log) Admin audit log of user and content actions read via GET /admin/activityevents; loaded for security, access, and usage reporting across the tenant. | JSON columns Document data stored in the converged engine and synced alongside relational rows | Activity Events (Audit Log) is specific to Microsoft Power Bi and JSON columns to Oracle DB — each maps to any object or custom field on the other side. | |
| Users and Access Workspace users and roles read via GET /groups/{id}/users or the admin scanner APIs; read for access reviews and identity reconciliation against an IdP. | Tables The primary read/write surface for row-level sync over SQL | Users and Access is specific to Microsoft Power Bi and Tables to Oracle DB — each maps to any object or custom field on the other side. | |
| Datasets (Semantic Models) Tabular models behind reports; their rows are read with DAX via POST datasets/{id}/executeQueries, and datasource and refresh metadata via REST list endpoints. | Views Curated read-only projections exposed to downstream consumers | Datasets (Semantic Models) is specific to Microsoft Power Bi and Views to Oracle DB — each maps to any object or custom field on the other side. | |
| Reports Report definitions and metadata read via GET /reports and per-workspace GET /groups/{id}/reports; enumerated to mirror the content inventory into a catalog. | Materialized views Precomputed results occasionally used as stable replication sources | Reports is specific to Microsoft Power Bi and Materialized views 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 Microsoft Power Bi for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: no webhooks or change-data-capture.
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.
DeliveryMicrosoft Power Bi does not accept inbound record writes, so this direction carries requests rather than records: Microsoft Power Bi's output flows back as field updates on the originating Oracle DB records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Power Bi–Oracle DB connection.
Changes in Microsoft Power Bi or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft Power Bi 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 Microsoft Power Bi or Oracle DB record.
Track your Microsoft Power Bi ⇄ Oracle DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft Power Bi 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 Microsoft Power Bi 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 Microsoft Power Bi 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 integration between Microsoft Power Bi and Oracle DB — Microsoft Power Bi 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.
Microsoft Power Bi: App-only service principal authentication must be enabled under the tenant's Developer settings ('Allow service principals to use Power BI APIs') and the principal added to each workspace; service principals cannot use Execute Queries against datasets with row-level security or SSO. Oracle DB: The engine is multi-model: relational, JSON, XML, and spatial data live in one database, so a single connection covers mixed data types. Stacksync's field mapping accounts for these differences between Microsoft Power Bi and Oracle DB 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 Microsoft Power Bi and Oracle DB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Microsoft Power Bi and Oracle DB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Microsoft Power Bi–Oracle DB integration in-house.
Yes — Stacksync ships production-grade connectors for both Microsoft Power Bi and Oracle DB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Microsoft Power Bi: Pull-based: no webhooks or change-data-capture. Content is polled via REST list endpoints, dataset changes are inferred from Refresh History and the admin Activity Events audit log, and the scanner API's GetModifiedWorkspaces reports workspaces changed since a given time. 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.
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 Microsoft Power Bi and Oracle DB.