Real-time sync
Changes in Microsoft Power Bi or Sage 100 instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft Power Bi and Sage 100 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 Sage 100, so Sage 100 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 100 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.
Financial records from Sage 100 land in Microsoft Power Bi as they change, so revenue, margin, and spend dashboards read current figures rather than last night's export.
Orders, invoices, and account records from Sage 100 join the behavioral and usage data Microsoft Power Bi already tracks, so customer analysis spans activity and dollars in one view.
Operational records from Sage 100 become measurable in Microsoft Power Bi, joinable with the rest of what the company tracks for supply and fulfillment reporting.
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 100 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. | Purchase Orders Procurement documents read for spend and receiving workflows. | Datasets (Semantic Models) is specific to Microsoft Power Bi and Purchase Orders to Sage 100 — 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. | GL Accounts Chart of accounts read for mapping transactions in finance integrations. | Reports is specific to Microsoft Power Bi and GL Accounts to Sage 100 — 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. | Journal Entries Posted GL activity replicated to warehouses for FP&A. | Dashboards and Tiles is specific to Microsoft Power Bi and Journal Entries to Sage 100 — 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. | Customers AR customer master records synced to CRMs for account and credit visibility. | Dataflows is specific to Microsoft Power Bi and Customers to Sage 100 — 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. | Vendors AP vendor master records synced with procurement and payment tools. | Datasources and Gateways is specific to Microsoft Power Bi and Vendors to Sage 100 — 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. | Inventory Items Item master with pricing and quantities, synced to e-commerce catalogs. | Refresh History is specific to Microsoft Power Bi and Inventory Items to Sage 100 — 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 Sage 100 as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Sage 100 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 100 records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Power Bi–Sage 100 connection.
Changes in Microsoft Power Bi or Sage 100 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft Power Bi or Sage 100 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 Sage 100 record.
Track your Microsoft Power Bi ⇄ Sage 100 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft Power Bi and Sage 100.
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 Sage 100 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 Sage 100 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 Sage 100 — 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.
Common patterns for Microsoft Power Bi and Sage 100: Where Sage 100 holds the books: revenue and finance dashboards from live data; Where Sage 100 runs order-to-cash: customer and account analytics; Where Sage 100 runs operations: inventory and fulfillment metrics. Financial records from Sage 100 land in Microsoft Power Bi as they change, so revenue, margin, and spend dashboards read current figures rather than last night's export.
Microsoft Power Bi: 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. Sage 100: ODBC (ProvideX driver) for reads; Business Object Interface (BOI) or Sage-provided web services for writes. Authentication: Sage 100 company and user credentials; ODBC DSN credentials for direct reads. Stacksync manages authentication, retries, and rate limits on both sides.
Microsoft Power Bi: Row-level data is read with the Execute Queries endpoint (POST datasets/{id}/executeQueries), which runs a DAX query and is capped at 100,000 rows or 1,000,000 values, 15 MB, and 120 requests per minute per user; the tenant setting 'Dataset Execute Queries REST API' must be enabled and the caller needs dataset read and build permissions. Sage 100: There is no event or webhook surface, so integrations detect changes with scheduled polling and often run during off-hours to avoid contention on the on-prem server. Stacksync's field mapping accounts for these differences between Microsoft Power Bi and Sage 100 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 Sage 100 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 Sage 100 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Microsoft Power Bi–Sage 100 integration in-house.
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 439 integrations available for Microsoft Power Bi and Sage 100.