Power BI Connector for ERPNext

Key Features

Provisions a dedicated, least-privilege read-only MariaDB user (SELECT-only on an explicit table allowlist) so Power BI never touches write or DDL grants

Ships a proper Frappe app/module with its own DocTypes for connector configuration, table/measure selection, and refresh audit logging

Curated semantic data model exposed as ERPNext SQL views — cleaned column names, resolved link fields, and pre-joined dimension/fact tables instead of raw `tabSales Invoice`

Pre-built measures and calculated columns (revenue, margin, AR aging, on-time delivery, stock valuation) documented so analysts reuse one definition of truth

Incremental refresh support via indexed `modified` / `creation` watermark columns and a RangeStart/RangeEnd partitioning pattern in the Power BI dataset

Scheduled refresh helper built on Frappe `scheduler_events` that pre-warms materialized views and writes a refresh-ready timestamp Power BI can poll

Row-level security mapping that projects ERPNext User Permissions and role profiles into Power BI RLS roles (e.g. company, territory, cost center scoping)

Whitelisted Frappe REST methods (`@frappe.whitelist`) for metadata discovery, model version, and connection health so Power BI Web/API mode works without DB exposure

`hooks.py` doc events on key DocTypes keep the semantic views and watermark indexes consistent as source records change

Optional Client Script and workspace shortcuts inside ERPNext to launch the published Power BI report in context

Connection hardening: TLS-enforced DB access, IP allowlisting, and rotating credentials stored in ERPNext-encrypted site config rather than in the .pbix

Server Scripts / scheduled jobs to rebuild aggregate tables off-peak so large fact tables refresh in minutes, not hours

Version-tagged data contract so a DocType field change surfaces as a controlled model migration instead of a silently broken dashboard

Compatible with Frappe/ERPNext v15 and v16, and delivered against your DirectQuery or Import mode preference

Built to order, done for you

No DIY setup — a working app, built, installed and supported by ECOSIRE.

You order

Start with a one-time build price. We scope it with you at kickoff.

We build & install

ECOSIRE builds, configures and installs it on your ERPNext.

Go live + support

You go live in about 2–4 weeks, with a post-launch support window.

About this Product

Analysts standardized on Microsoft Power BI usually end up scraping ERPNext data the hard way: exporting Report Builder views to spreadsheets, hitting the /api/method/frappe.client.get_list REST endpoint by hand, or — worst of all — handing someone the production MariaDB root credentials so a dashboard can run raw joins. ERPNext ships strong operational reporting (Query Reports, the Report Builder, dashboards), but it was never designed to be a governed BI source. There is no curated star schema, no stable measure layer, no way to give Power BI a read-only connection that respects ERPNext permissions, and no safe pattern for incremental refresh. The result is fragile dashboards that break every time a DocType changes, and a real security exposure from over-privileged database access.

What you get

Installable source code for your version of the connector app (Frappe app installable via bench)

Installation and configuration on your ERPNext v15/v16 instance, including the read-only DB user and semantic views

Technical documentation: data model diagram, table/measure dictionary, refresh and RLS architecture

A starter Power BI dataset/template plus user guide and one live training session for your analysts

Post-go-live support window for defect fixes and configuration questions

UAT on a staging/clone environment with a documented rollback plan before production cutover

Git repository handover with full commit history and README for your team to maintain or extend

Row-level security mapping worksheet aligning ERPNext role profiles to Power BI RLS roles

Who this is for

BI / Analytics Lead

Owns the Power BI estate and needs a stable, documented ERPNext data contract with measures that don't shift under them, so dashboards stop breaking on every ERPNext update.

ERPNext / IT Administrator

Responsible for the ERPNext site and its security. Needs BI access that is read-only, least-privilege, TLS-enforced, and auditable — not shared root credentials or ad-hoc exports.

Finance / Operations Director

Wants trustworthy live dashboards for revenue, AR aging, inventory, and delivery performance in the Power BI tools their team already uses, without manual spreadsheet pulls.

Data Governance / Security Officer

Needs row-level security that mirrors ERPNext permissions so each viewer only sees their company, territory, or cost center, with the connection surface documented and controlled.

How Power BI Connector for ERPNext Compares

Criterion	ECOSIRE	Custom Build	Competitor
Database access model	Least-privilege read-only user on curated view allowlist	Depends on developer; often over-privileged	Generic DB user, broad table access
Semantic / measure layer	Curated star-schema views + documented measures	Built once, rarely documented	Raw table pass-through, no measures
Row-level security	ERPNext permissions mapped to Power BI RLS roles	Hand-coded per project if at all	Usually none
Incremental & scheduled refresh	Watermark-based incremental + scheduler pre-warm	Possible but bespoke effort	Full reload each refresh
v15 / v16 compatibility & upgrades	Versioned data contract, controlled migrations	Breaks on DocType changes unless maintained	Update cadence out of your control
Fit to your data model	Built to your DocTypes and reporting needs	Fully custom, high build cost	One-size-fits-all, limited fit
Ownership & maintainability	Full git repo + docs handover	You own it but built from scratch	Closed source, vendor lock-in
Support & accountability	Scoped build + post-go-live support window	Only if you retain the developer	Generic vendor support tier

Frequently Asked Questions about Power BI Connector for ERPNext

How long does delivery take?

This is a build-to-order engagement. After a short scoping call and confirmed scope, typical delivery is 2-4 weeks depending on how many DocTypes, measures, and RLS rules you need. You get a milestone timeline before we start — there is no instant download.

Is this a Frappe Cloud Marketplace app I can just install?

No. ECOSIRE builds this specifically for your ERPNext instance and data model, then installs and supports it. You receive installable source code and the full git repository at handover, but it is a bespoke build, not an off-the-shelf marketplace download.

Does Power BI get direct database access to ERPNext?

Only through a dedicated, least-privilege read-only MariaDB user scoped by an explicit SELECT allowlist over curated views — never root, never write access. For teams that prefer no DB exposure, we can drive metadata and health through whitelisted Frappe REST methods instead.

How does row-level security work?

We map ERPNext User Permissions and role profiles into Power BI RLS roles, so a viewer scoped to one company, territory, or cost center in ERPNext sees only that data in Power BI. The mapping is documented so you can extend it as your org changes.

Will it break when we upgrade ERPNext or change a DocType?

The semantic layer sits in versioned views with a documented data contract, and `hooks.py` doc events keep watermarks and indexes consistent. A DocType change surfaces as a controlled model migration we handle, rather than a silently broken dashboard. It targets Frappe/ERPNext v15 and v16.

What about support and updates after go-live?

Every build includes a post-go-live support window for defect fixes and configuration questions. Beyond that, we offer ongoing support and enhancement retainers, and because you hold the git repo, your own team can maintain or extend it too.

Can it handle large fact tables without slow refreshes?

Yes. We use incremental refresh keyed on indexed `modified`/`creation` watermarks plus off-peak scheduled jobs that pre-build aggregate tables, so large Sales Invoice or Stock Ledger volumes refresh in minutes rather than reloading everything each time.