Real-time
Real-time sync
Changes in Microsoft Power Bi or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ ERP
Microsoft Power Bi to Sage 300 integration — real-time data sync
Keep Microsoft Power Bi and Sage 300 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
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Microsoft Power Bi and Sage 300
Put Sage 300's records into Microsoft Power Bi as live data for reporting and dashboards, without nightly exports, and send the segments and metrics Microsoft Power Bi computes back where Sage 300 can use them.
Microsoft Power Bi is a read-only source: Stacksync reads its data in real time and delivers it into Sage 300, so Sage 300 always reflects the current state of Microsoft Power Bi — without exports, scripts, or schedulers.
ERP data is some of the most requested data for analysis and some of the hardest to pull: the record types are many, the APIs are strict, and export jobs break on every upgrade. Whether Sage 300 carries financials, operations, workforce data, or all three, those numbers belong in Microsoft Power Bi, next to the product, behavioral, and web data the team already measures.
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 Replicate GL, AR, and AP detail to a warehouse for consolidated multi-company reporting.
- 04 Keep inventory items and quantities aligned with e-commerce and warehouse systems on a schedule.
Common sync patterns
Where Sage 300 runs order-to-cash: customer and account analytics
Orders, invoices, and account records from Sage 300 join the behavioral and usage data Microsoft Power Bi already tracks, so customer analysis spans activity and dollars in one view.
Where Sage 300 runs operations: inventory and fulfillment metrics
Operational records from Sage 300 become measurable in Microsoft Power Bi, joinable with the rest of what the company tracks for supply and fulfillment reporting.
Where Sage 300 is the HR system of record: workforce and cost analysis
Worker and organization data from Sage 300 syncs into Microsoft Power Bi for headcount, cost, and utilization reporting alongside other company data.
What you can sync between Microsoft Power Bi and Sage 300
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 | Sage 300 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. | AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting. | Refresh History is specific to Microsoft Power Bi and AR Invoices and Receipts to Sage 300 — 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. | AR Customers Receivables customer master synced to CRMs and billing tools. | Workspaces (Groups) is specific to Microsoft Power Bi and AR Customers to Sage 300 — 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. | AP Vendors Payables vendor master synced with procurement and payment systems. | Activity Events (Audit Log) is specific to Microsoft Power Bi and AP Vendors to Sage 300 — 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. | GL Accounts Chart of accounts read for transaction mapping across integrations. | Users and Access is specific to Microsoft Power Bi and GL Accounts to Sage 300 — 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. | Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. | Datasets (Semantic Models) is specific to Microsoft Power Bi and Journal Batches to Sage 300 — 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. | Order Entry Orders Sales orders written from e-commerce or EDI feeds. | Reports is specific to Microsoft Power Bi and Order Entry Orders to Sage 300 — each maps to any object or custom field on the other side. |
How changes propagate between Microsoft Power Bi and Sage 300
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 Sage 300 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 Sage 300 as a row-level write, with types converted between the two schemas.
Sage 300 Microsoft Power Bi Interval-based propagation
DetectionStacksync polls Sage 300 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled 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 Sage 300 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.
What ships with Microsoft Power Bi ⇄ Sage 300
Connect Microsoft Power Bi and Sage 300 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Power Bi–Sage 300 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Microsoft Power Bi or Sage 300 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 Sage 300 record.
Observability
Monitoring
Track your Microsoft Power Bi ⇄ Sage 300 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 Sage 300.
How the Microsoft Power Bi and Sage 300 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.
Sage 300
- Integration surface
- Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
- Authentication
- Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
- Change detection
- Scheduled polling; batch-oriented modules with no webhook surface
- Capabilities
- read · write
How it works
How to connect Microsoft Power Bi to Sage 300 — 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 Sage 300 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
Sage 300
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Microsoft Power Bi and Sage 300 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 ⇄ Sage 300Customers 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 Sage 300Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Microsoft Power Bi and Sage 300 integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Microsoft Power Bi and Sage 300 — 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 pricing is usage-based and starts at $1,000/month, including the managed Microsoft Power Bi and Sage 300 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Microsoft Power Bi–Sage 300 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Microsoft Power Bi and Sage 300. 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 Sage 300: Scheduled polling; batch-oriented modules with no webhook surface. 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: Workspaces (Groups), Activity Events (Audit Log), Users and Access, Datasets (Semantic Models), plus custom fields where Microsoft Power Bi exposes them. On the Sage 300 side: Journal Batches, Order Entry Orders, Purchase Orders, Inventory Items. Stacksync auto-detects both schemas and converts types between the two systems.
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Microsoft Power Bi is a read-only source, so this integration runs one-way: Stacksync reads from Microsoft Power Bi in real time and delivers into Sage 300. Field mapping and monitoring work the same as for two-way pairs.
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 441 integrations available for Microsoft Power Bi and Sage 300.
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Microsoft Power Bi ⇄ Oracle Fusion ERP -
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Microsoft Power Bi ⇄ SAP S/4HANA -
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Sage 300 ⇄ Treasuredata -
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Sage 300 ⇄ Adobeanalytics
No integrations match .
