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Analytics ⇄ Database

Microsoft Power Bi to Supabase integration — real-time data sync

Keep Microsoft Power Bi and Supabase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Microsoft Power Bi and Supabase

Give Microsoft Power Bi the users, events, and records that live in Supabase in real time, and sync the cohorts and scores Microsoft Power Bi computes back into Supabase where your applications read them.

Microsoft Power Bi is a read-only source: Stacksync reads its data in real time and delivers it into Supabase, so Supabase 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 Supabase 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.

Common use cases

  • 01 Pull Dataflow and Datasource definitions to document lineage between Power BI and its upstream warehouses in a governance database.
  • 02 Load dataset Refresh History into an operational database to alert on-call teams when scheduled refreshes fail or run long.
  • 03 Sync application tables in Supabase with the CRM two-way so new signups appear as contacts and sales edits flow back to the app
  • 04 Mirror billing and subscription records into Supabase tables the application can join directly

Common sync patterns

Where Microsoft Power Bi tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Microsoft Power Bi sync into Supabase as rows, so applications and internal tools can read behavioral data next to the records they already keep.

Where Microsoft Power Bi builds cohorts or scores: results your services can read

Segments, cohorts, or scores computed in Microsoft Power Bi sync back into Supabase, where the services that read from the database act on them at query speed without calling the analytics API.

Analytics on live operational data, minus the pipeline

The users, events, orders, and records stored in Supabase land in Microsoft Power Bi as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.

What you can sync between Microsoft Power Bi and Supabase

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 Supabase objects How this pairing syncs
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. Row Level Security Policies Row-level access rules that govern what the REST layer exposes. Datasets (Semantic Models) is specific to Microsoft Power Bi and Row Level Security Policies to Supabase — 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. JSONB Columns Semi-structured payloads such as event properties or nested objects. Reports is specific to Microsoft Power Bi and JSONB Columns to Supabase — each maps to any object or custom field on the other side.
Dashboards and Tiles Dashboards and their pinned tiles read via GET /dashboards and /dashboards/{id}/tiles; inventoried to map dashboard content back to its source datasets. Database Functions Postgres functions that can transform or validate synced rows. Dashboards and Tiles is specific to Microsoft Power Bi and Database Functions to Supabase — each maps to any object or custom field on the other side.
Dataflows Power Query ETL definitions read via GET /groups/{id}/dataflows; used to document lineage from upstream sources into datasets. Storage Object Metadata File metadata rows that can be joined to synced application data. Dataflows is specific to Microsoft Power Bi and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side.
Datasources and Gateways The connections behind datasets and dataflows and the on-premises gateways serving them, read via REST for lineage and dependency mapping. Tables Standard Postgres tables; the primary two-way sync target. Datasources and Gateways is specific to Microsoft Power Bi and Tables to Supabase — each maps to any object or custom field on the other side.
Refresh History Dataset refresh runs read via GET /datasets/{id}/refreshes, including status, type, and timing, to alert on failed or slow scheduled refreshes. Views Read-side projections exposed to outbound syncs. Refresh History is specific to Microsoft Power Bi and Views to Supabase — each maps to any object or custom field on the other side.

How changes propagate between Microsoft Power Bi and Supabase

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.

Microsoft Power Bi Supabase Interval-based propagation

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 Supabase as a row-level write, with types converted between the two schemas.

Supabase Microsoft Power Bi Sub-second propagation

DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.

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 Supabase records.

Rate-limit considerations

  • Microsoft Power Bi: Endpoints throttle per user and per app and return HTTP 429 with a Retry-After header. Execute Queries allows up to 120 requests per minute per user and caps a query at 100,000 rows (or 1,000,000 values) and 15 MB; admin scanner metadata APIs are limited to about 500 requests per hour with 16 concurrent.
  • Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with Microsoft Power Bi ⇄ Supabase

Connect Microsoft Power Bi and Supabase for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Power Bi–Supabase connection.

Real-time

Real-time sync

Changes in Microsoft Power Bi or Supabase instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Microsoft Power Bi or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Microsoft Power Bi or Supabase record.

Observability

Monitoring

Track your Microsoft Power Bi ⇄ Supabase sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Microsoft Power Bi and Supabase.

How the Microsoft Power Bi and Supabase connectors work

Microsoft Power Bi

Integration surface
Power BI REST API, including the Execute Queries (DAX) endpoint and admin scanner APIs; a read-write XMLA endpoint is available on Premium, Premium-Per-User, and Fabric capacity.
Authentication
Microsoft Entra ID (Azure AD) OAuth 2.0 bearer tokens. Supports delegated user tokens and app-only service principals; service principals must be enabled under the tenant's Developer settings and granted workspace access. Tenant-wide admin reads require the Tenant.Read.All scope.
Change detection
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.
Capabilities
read
Rate limits
Endpoints throttle per user and per app and return HTTP 429 with a Retry-After header. Execute Queries allows up to 120 requests per minute per user and caps a query at 100,000 rows (or 1,000,000 values) and 15 MB; admin scanner metadata APIs are limited to about 500 requests per hour with 16 concurrent.

Supabase

Integration surface
Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
Authentication
Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
Change detection
Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
Capabilities
read · write · CDC · webhooks
Rate limits
SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works

How to connect Microsoft Power Bi to Supabase — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Microsoft Power Bi and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Microsoft Power Bi connected
    Supabase connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Microsoft Power Bi and Supabase 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Microsoft Power Bi ⇄ Supabase
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Microsoft Power Bi Supabase
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Microsoft Power Bi and Supabase integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 472 integrations available for Microsoft Power Bi and Supabase.

Popular · 8 of 472
All Microsoft Power Bi integrations All Supabase integrations Browse all integrations
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