Every Fabric partner has an accelerator. Here's what makes ours different.

It usually starts with a question from the board. What's our AI plan? Or something less glamorous: why do finance and sales have different revenue figures for the same month?

Either way, the honest answer is the same. The data isn't ready. It's spread across a finance system, a CRM, a few SQL databases and a SharePoint site nobody fully trusts, and getting a straight number out of it depends on one person's spreadsheet.

So you look at Microsoft Fabric, which is the right instinct. Then you search for help, and you find that everyone has an "accelerator". As of September 2026, more than 40 Fabric listings on Microsoft's UK Marketplace use the word. There are free accelerators on GitHub, partner accelerators measured in weeks, accelerator software, and accelerators from Microsoft itself.

When one word covers that many different things, it has stopped telling you anything. This article explains what is actually being sold under the label, and where the MPowerUp Fabric Accelerator differs from the rest.

We're obviously not neutral. We've tried to be fair to the alternatives, though, because if you're going to choose us, you should do it knowing what else is out there.

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The question that cuts through the noise

Most accelerator marketing compares speed: four weeks, six weeks, twenty days. Speed matters, but it's no longer what separates the offers. Plenty of good partners can get something live in a month.

A more useful question is this:

Ask that of every offer on your shortlist and they quickly sort themselves into four groups.

The four things sold as a "Fabric accelerator"

01A free framework on GitHub

Some excellent engineers have published open-source, metadata-driven Fabric frameworks. The best known have hundreds of forks, and some claim to automate most of the bronze and silver layer work. They're genuinely good, and if you have a strong in-house engineering team, they're worth a look.

But a framework is a kit, not a platform. You fork it, adapt it, fill the gaps your organisation needs, deploy it and harden it. After that, you support it. Your fork drifts away from the original the moment you change it. When a pipeline fails at 6am on the Monday of a board meeting, there's a community forum, not a support desk.

02A consulting project with a product name

This is the most common kind. A partner runs a fixed-length engagement, often four to eight weeks, and calls it an accelerator. Inside it is usually a sound method and a set of reusable patterns the partner's engineers have built up.

The details vary, but some patterns repeat. The scope is often one bounded use case. The price is often set after a discovery workshop rather than before it. And the engagement ends with a handover: you receive the code and documentation, and the partner moves on to the next client.

That handover is often presented as a benefit ("you own all the code"), and for some organisations it is one. But code that's handed over is frozen on the day it's handed over. It only improves if someone pays to improve it, and that someone is you.

03Data automation software

A few established vendors sell metadata-driven automation tools that now generate code for Fabric. They're capable products, often built for several platforms.

They're also another licensed tool for your team to learn and another layer between you and Fabric. And they're a generic engine. You still need someone to design your bronze, silver and gold layers, your governance and your reporting model on top of it.

04Microsoft's own features

Fabric itself keeps getting better. Mirroring replicates operational databases into OneLake without custom pipelines. Materialized Lake Views became generally available in March 2026 and take much of the work out of medallion transformations. Copilot now helps write notebooks and pipelines. Microsoft also publishes solution accelerators and learning labs.

We use these features natively. They're also building blocks, not a governed platform. Mirroring copies tables, but it doesn't decide what "a customer" means when your CRM and your finance system disagree. Copilot writes code, but it doesn't own what happens when that code breaks.

What the MPowerUp Fabric Accelerator is

The MPowerUp Fabric Accelerator is none of those four. It's a working Microsoft Fabric data platform that already exists.

It isn't a template to build on, and it isn't a discovery phase with a platform at the end. We deploy it into your Fabric tenant, configure it to your source systems, and typically have your first trusted reporting running in four weeks.

Here's where that makes a practical difference.

01You can see it before you talk to us

Most accelerators exist as a slide deck until you've signed. Ours is a product, so you can click through the real configuration interface, health dashboard and run history in your browser, with sample data, before you speak to anyone. Open the live demo. There's no login and nothing to install.

That matters because it changes what you're buying. You aren't paying for someone to design and build a platform and hoping it turns out well. You're paying to have something you've already seen pointed at your own systems.

02A whole platform, not one use case

The Accelerator is a complete bronze, silver and gold architecture with the pipeline, governance, monitoring and reporting model included:

It connects to the systems mid-market Microsoft organisations actually run: Dynamics 365, Business Central, Dynamics F&O, Dataverse, SQL Server, Azure SQL, Fabric Warehouse, SharePoint Lists, Excel, CSV, JSON, Xero and REST APIs.

Adding a standard source is usually a matter of hours, not days. You describe the source, choose the tables and set how each one loads, and the framework handles the rest. When you acquire a business or replace a system next year, connecting it is a form to fill in, not a project to commission. Unusual APIs or sources that need heavy business logic take longer, and we'll tell you that before you start, not in week three.

03Governance built into the engine

Governance written in a policy document tends to get skipped under deadline pressure. Governance enforced by the platform can't be. The Accelerator has nine governance mechanisms built in from the first deployment:

• Irreversible PII masking (salted hash, nullify, redact, year-only date or partial reveal) applied before the silver layer is written.
• Dynamic data masking at the SQL endpoint, so clear values are visible only to a named unmask group in your own Entra ID.
• Full history (SCD Type 2), so you can answer "what did we believe was true on the day that order was placed?" for any date in the past.
• Five Entra-mapped roles that default to restrictive: someone the platform doesn't recognise sees a summary, nothing more.
• An append-only audit trail of every save, masking change, alert and schema drift.
• Schema drift and failed type casts captured and flagged as warnings, rather than dropped silently.
• CI/CD across environments, so every change is reviewed and repeatable.
• Metadata-driven ingestion, so every source follows the same governed path.
• Health monitoring and anomaly detection on every run.

For an ISO 27001, SOC 2 or sector-regulator conversation, that covers most of what an auditor asks about, and it's all there on day one rather than in a phase two that rarely gets funded.

04It tells you when something's wrong

Most data platforms fail in one of two ways: they rerun everything whenever anything fails, or they fail silently. The Accelerator does neither.

Batches run in ordered stages with partial-failure retry, so if three sources succeed and one fails, only the failed one reruns. Each run is compared in real time with its own baseline for typical duration, row counts and consecutive failures. If something looks wrong, an alert goes out automatically. You hear about a problem from the platform before your finance director asks why Monday's numbers look odd.

05Reports you can build on straight away

A lot of data projects lose months between "the data has landed" and "someone can build a report they trust". The Accelerator closes that gap. Gold-layer tables come with an auto-generated Power BI semantic model, with relationships, hierarchies and measures already defined.

Your existing Power BI reports, Power Apps and Dynamics stay as they are. Usually they get faster and more consistent once they're pointed at a governed layer instead of an operational database.

This is also why the Accelerator is a sound foundation for AI. Copilot and Fabric's AI features only know what they're given. Point them at four systems that disagree and you get confident answers that happen to be wrong. A gold layer with agreed definitions and traceable lineage is what makes AI trustworthy, and it's the same thing that makes your Monday reporting trustworthy.

06It keeps improving after go-live

This is the difference we think matters most, and the one the other models struggle to match.

The Accelerator is one framework, deployed per client, with core improvements flowing down from a shared codebase. When we make the platform better for one client, every client gets it. Bespoke code, a handed-over engagement or a forked GitHub repo stays frozen at go-live and only improves when someone pays for it. Ours improves because improving it is our business.

It's fair to ask what that means for ownership, so here's the plain answer:

• Your data is entirely yours. It's held as open Delta Lake tables in your own OneLake, in your own tenant. Anything that reads Delta or Parquet can read it, including Databricks, Snowflake or your own Spark. There's no proprietary format and no export to negotiate.
• The framework is licensed, not sold, like any software product, and that's what pays for its continued improvement. If a licence ever ends, we work through the transition with you, and we explain your options before you sign, not afterwards.
• Running it day to day can come in-house. It's designed to be operated by your own team through configuration. Plenty of organisations take the managed service for the first year and step down once their people are confident.

It also scales without a rebuild. The same platform runs on F2, Fabric's smallest paid capacity, and on the largest, so growth is a capacity setting, not a re-platforming project.

07The price is published, and so are the incentives

Very few Fabric partners publish prices. We do:

• Deployment from £20,000, typically live in four weeks. The final figure depends on the number and type of sources, and we tell you that figure before you commit, not after a discovery phase.
• Managed service tiers with defined deliverables, not a bank of hours: Essentials at £1,000 a month, Accelerate at £3,000 and Elevate at £5,000, plus Enterprise for larger estates.

There's a less obvious reason this matters. A day-rate business does better when work takes longer. A product business does better when the platform works and you stay. Those incentives point in different directions, and it's reasonable to ask any supplier which one describes them.

And because we're a small team, the person you speak to is generally the person doing the work. There's no account-management layer and no offshore delivery team you've never met.

At a glance

Comparisons describe typical offers in each category, not any named provider. Individual offers vary.

When we're not the right choice

A biased article is only useful if it also tells you when to look elsewhere, so here are the cases.

• If your requirement is genuinely unusual, so that no product fits it, you should commission something bespoke. We'll tell you that on the first call.
• If you have a strong in-house data engineering team that wants to build and own every line, a well-maintained open-source framework may suit you better. You'll be taking on the build and the support, but some teams want exactly that.
• If you aren't building on Microsoft Fabric, we aren't the right fit at all.

For most mid-market organisations on the Microsoft stack, though, the problem isn't unique. It's finance, CRM and operations data that disagree with each other, governance nobody has had time to build, and a board asking about AI. That doesn't need a blank page. It needs a platform that already works, configured to you.

See it for yourself

You don't have to take our word for any of this. The difference between a product and a promise is that you can look at the product.