Real-time
Real-time sync
Changes in Microsoft Power Bi or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Database
Microsoft Power Bi to Scaleway Postgres integration — real-time data sync
Keep Microsoft Power Bi and Scaleway Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Live sync
stacksync.com - <1s
- latency
- real-time
- sync
- 100M+
- records
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Microsoft Power Bi and Scaleway Postgres
Give Microsoft Power Bi the users, events, and records that live in Scaleway Postgres in real time, and sync the cohorts and scores Microsoft Power Bi computes back into Scaleway Postgres where your applications read them.
Microsoft Power Bi is a read-only source: Stacksync reads its data in real time and delivers it into Scaleway Postgres, so Scaleway Postgres 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 Scaleway Postgres 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 Sync admin Activity Events into a warehouse for tenant-wide security, access, and usage reporting.
- 02 Read Users and workspace access for periodic access reviews reconciled against an HR or Microsoft Entra ID source of record.
- 03 Run a two-way sync between Scaleway Postgres and SaaS tools so edits made in either system converge on the same rows
- 04 Replicate the application database into a warehouse for analytics without writing custom pipelines
Common sync patterns
Analytics on live operational data, minus the pipeline
The users, events, orders, and records stored in Scaleway Postgres land in Microsoft Power Bi as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
One version of each user or account
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.
Filter and grouping dimensions kept fresh
Attributes teams slice by, such as plan, region, or account owner, stay current in Microsoft Power Bi because they sync from Scaleway Postgres as they change, instead of going stale after a one-time import.
What you can sync between Microsoft Power Bi and Scaleway Postgres
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 | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| 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 result sets that can be read on a schedule for downstream syncs. | Reports is specific to Microsoft Power Bi and Materialized views to Scaleway Postgres — 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. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Dashboards and Tiles is specific to Microsoft Power Bi and Schemas to Scaleway Postgres — 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. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Dataflows is specific to Microsoft Power Bi and Sequences to Scaleway Postgres — 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. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Datasources and Gateways is specific to Microsoft Power Bi and Columns to Scaleway Postgres — 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. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Refresh History is specific to Microsoft Power Bi and Tables to Scaleway Postgres — 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. | Views Read-only sources for shaping data before it leaves the database. | Workspaces (Groups) is specific to Microsoft Power Bi and Views to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Microsoft Power Bi and Scaleway Postgres
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 Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Microsoft Power Bi Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
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 Scaleway Postgres 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.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Microsoft Power Bi ⇄ Scaleway Postgres
Connect Microsoft Power Bi and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Power Bi–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Microsoft Power Bi or Scaleway Postgres 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 Scaleway Postgres record.
Observability
Monitoring
Track your Microsoft Power Bi ⇄ Scaleway Postgres 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 Scaleway Postgres.
How the Microsoft Power Bi and Scaleway Postgres 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.
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect Microsoft Power Bi to Scaleway Postgres — 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.
- 01
Connect your apps
Authenticate Microsoft Power Bi and Scaleway Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Microsoft Power Bi
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Microsoft Power Bi and Scaleway Postgres 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.
objects · Microsoft Power Bi ⇄ Scaleway PostgresCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Microsoft Power Bi Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Microsoft Power Bi and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Microsoft Power Bi and Scaleway Postgres — 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.
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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 Scaleway Postgres records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Microsoft Power Bi and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Microsoft Power Bi–Scaleway Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Microsoft Power Bi and Scaleway Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Microsoft Power Bi side: Reports, Dashboards and Tiles, Dataflows, Datasources and Gateways, plus custom fields where Microsoft Power Bi exposes them. On the Scaleway Postgres side: Tables, Views, Materialized views, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 375 integrations available for Microsoft Power Bi and Scaleway Postgres.
Popular · 7 of 375
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Microsoft Power Bi ⇄ DuckDB -
Microsoft Power Bi ⇄ Elasticsearch -
Microsoft Power Bi ⇄ Google Cloud Spanner - Microsoft Power Bi ⇄ Google Cloud SQL
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Scaleway Postgres ⇄ Adobeanalytics -
Scaleway Postgres ⇄ Pendo -
Scaleway Postgres ⇄ Splunk
No integrations match .
