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Database ⇄ Analytics

Google Cloud Spanner to Microsoft Power Bi integration — real-time data sync

Keep Google Cloud Spanner and Microsoft Power Bi 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Google Cloud Spanner and Microsoft Power Bi

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

Microsoft Power Bi is a read-only source: Stacksync reads its data in real time and delivers it into Google Cloud Spanner, so Google Cloud Spanner 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 Google Cloud Spanner 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 Mirror Workspaces, Reports, Dashboards, and Dataset metadata into a catalog database so teams discover Power BI content from a central index.
  • 02 Pull Dataflow and Datasource definitions to document lineage between Power BI and its upstream warehouses in a governance database.
  • 03 Push billing or entitlement changes from finance tools into Spanner tables the application reads at runtime.
  • 04 Use change streams to feed near-real-time copies of operational tables into an analytics warehouse.

Common sync patterns

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 Google Cloud Spanner as they change, instead of going stale after a one-time import.

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

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

What you can sync between Google Cloud Spanner and Microsoft Power Bi

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.

Google Cloud Spanner objects Microsoft Power Bi objects How this pairing syncs
Change streams Capture inserts, updates, and deletes for log-style change data capture. Dataflows Power Query ETL definitions read via GET /groups/{id}/dataflows; used to document lineage from upstream sources into datasets. Change streams is specific to Google Cloud Spanner and Dataflows to Microsoft Power Bi — each maps to any object or custom field on the other side.
Views Read-only projections useful for shaping data before it leaves Spanner. Datasources and Gateways The connections behind datasets and dataflows and the on-premises gateways serving them, read via REST for lineage and dependency mapping. Views is specific to Google Cloud Spanner and Datasources and Gateways to Microsoft Power Bi — each maps to any object or custom field on the other side.
Databases Top-level containers that scope schema and sync configuration. Refresh History Dataset refresh runs read via GET /datasets/{id}/refreshes, including status, type, and timing, to alert on failed or slow scheduled refreshes. Databases is specific to Google Cloud Spanner and Refresh History to Microsoft Power Bi — each maps to any object or custom field on the other side.
Tables Relational tables mapped one-to-one to sync targets. 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. Tables is specific to Google Cloud Spanner and Workspaces (Groups) to Microsoft Power Bi — each maps to any object or custom field on the other side.
Rows The unit of read and write in each sync cycle, keyed by primary key. 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. Rows is specific to Google Cloud Spanner and Activity Events (Audit Log) to Microsoft Power Bi — each maps to any object or custom field on the other side.
Interleaved tables Child rows physically co-located with parents; synced as related records. 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. Interleaved tables is specific to Google Cloud Spanner and Users and Access to Microsoft Power Bi — each maps to any object or custom field on the other side.

How changes propagate between Google Cloud Spanner and Microsoft Power Bi

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.

Google Cloud Spanner Microsoft Power Bi Sub-second propagation

DetectionChanges in Google Cloud Spanner are captured at the source via change data capture — no polling loop against its API. Change streams (log-style CDC), or timestamp-based polling queries.

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 Google Cloud Spanner records.

Microsoft Power Bi Google Cloud Spanner 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 Google Cloud Spanner as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Google Cloud Spanner: Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.
  • 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.
What ships with Google Cloud Spanner ⇄ Microsoft Power Bi

Connect Google Cloud Spanner and Microsoft Power Bi for flexible, real-time data sync.

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google Cloud Spanner or Microsoft Power Bi 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 Google Cloud Spanner or Microsoft Power Bi record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Google Cloud Spanner and Microsoft Power Bi.

How the Google Cloud Spanner and Microsoft Power Bi connectors work

Google Cloud Spanner

Integration surface
gRPC/REST client API with SQL query surface (GoogleSQL and PostgreSQL-interface dialects)
Authentication
Google Cloud IAM (service accounts)
Change detection
Change streams (log-style CDC), or timestamp-based polling queries
Capabilities
read · write · CDC
Rate limits
Throughput is bounded by the instance's provisioned compute capacity rather than a fixed API quota.

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.
How it works

How to connect Google Cloud Spanner to Microsoft Power Bi — 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 Google Cloud Spanner and Microsoft Power Bi 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
    Google Cloud Spanner connected
    Microsoft Power Bi connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google Cloud Spanner and Microsoft Power Bi 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 · Google Cloud Spanner ⇄ Microsoft Power Bi
    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
    Google Cloud Spanner Microsoft Power Bi
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google Cloud Spanner and Microsoft Power Bi 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 359 integrations available for Google Cloud Spanner and Microsoft Power Bi.

Popular · 7 of 359
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