Microsoft Fabric Consulting: 8 Azure-Capable Firms Compared for 2026
microsoft fabric consulting, fabric consulting companies, azure data engineering, microsoft fabric partners, power bi consulting, fabric analytics engineer
Microsoft Fabric is a unified SaaS analytics platform that combines Power BI, Azure Synapse Analytics, and Azure Data Factory into one product, built around OneLake as a single storage layer in the open Delta Parquet format. It became generally available on November 15, 2023. Below are 8 Azure- and Power BI-capable data engineering firms from our directory whose stack maps to Fabric’s building blocks - Data Factory, Synapse Data Engineering, Synapse Data Warehousing, and Power BI.
Of the 8 firms, only EY currently lists Microsoft Fabric by name in our records. The rest list Azure, Power BI, or Azure Synapse capability, the foundation Fabric consolidates, but not a stated Fabric practice. We don’t verify Microsoft Fabric certifications (the Fabric Analytics Engineer Associate exam, DP-600) or Microsoft Solutions Partner designations for any firm here. If certified Fabric specialization is a requirement, verify it directly through Microsoft’s Fabric partner directory before you shortlist.
Compare Fabric-capable firms
| Firm | Best for | Wrong for |
|---|---|---|
| Celebal Technologies | Azure-led programs; Power BI and AI solutions | AWS- or GCP-led programs, where its listed focus is Azure |
| DataArt | Custom software development with embedded data engineering; European nearshore delivery | Buyers who need deep single-platform specialization |
| Devoteam | European enterprises; cloud and cybersecurity work | Local delivery outside Europe |
| EY | Global compliance, audit-ready data platforms, and finance transformation | A straightforward migration that needs no audit, compliance, or finance-data depth |
| Kanerika Inc | Intelligent automation and data analytics on Azure | Snowflake-led programs outside Azure |
| ProCogia | Data consultancy and bioinformatics; enterprise data mesh | Large multi-workstream programs |
| Wipro | Large-scale global enterprises; offshore delivery model | Focused mid-market implementations |
| XenonStack | Agentic AI systems; real-time analytics; platform engineering | Batch warehouse or Snowflake-led migrations |
Firms are listed alphabetically. We don’t rank firms by quality, and the table reflects each firm’s listed scope, not a Fabric credential check. Use the best-for and wrong-for columns to narrow the list, then verify Fabric specialization directly with Microsoft before you send an RFP.
1. Celebal Technologies
Celebal Technologies positions as a Microsoft Azure AI platform specialist, with named strength in Power BI and AI solutions, and its listed stack also includes Databricks, Snowflake, AWS, and GCP. It is a weak fit for an AWS- or GCP-led program, since its listed focus is Azure, Power BI, and Azure AI. If your target cloud isn’t Azure, ask for consultants who work on that platform.
2. DataArt
DataArt works across AWS, Azure, GCP, Databricks, Snowflake, and Spark, built around custom software development with embedded data engineering and European nearshore delivery. It is less suited to buyers who need deep single-platform specialization - its broad custom-build model spans all clouds rather than centering on one.
3. Devoteam
Devoteam serves European enterprises as a cloud and cybersecurity specialist, working across AWS, GCP, Azure, Snowflake, Databricks, Microsoft, and Salesforce. It is a weak fit for buyers who need local delivery outside Europe. For a small engagement, ask for a scoped team and quote rather than assuming a standard enterprise staffing model.
4. EY
EY is the only firm on this list that lists Microsoft Fabric explicitly in our records, alongside Azure, Snowflake, and Databricks. It fits global compliance, audit-ready data platforms, and finance transformation work. It is overbuilt for a straightforward data migration that needs no audit, compliance, or finance-data depth; if that describes your project, ask EY to scope technical delivery apart from advisory work.
5. Kanerika Inc
Kanerika Inc focuses on intelligent automation and data analytics, positioning as a Microsoft Azure specialist across Azure, Power BI, and a stack that also includes AWS, GCP, Databricks, and Snowflake. It is a weak fit for Snowflake-led programs outside Azure, since its listed stack leads with Azure and Power BI. If Snowflake is your core platform, ask for Snowflake references and the proposed architects.
6. ProCogia
ProCogia runs data consultancy and bioinformatics work, including enterprise data mesh projects, for life sciences, pharma, and biotechnology teams, with Azure listed first in its stack ahead of AWS, GCP, Snowflake, Databricks, and Spark. It is less suited to a large multi-workstream program, so ask for named leads and staffing commitments if your scope is broad.
7. Wipro
Wipro serves large-scale global enterprises through an offshore delivery model, across AWS, Azure, GCP, Snowflake, Databricks, SAP, and Hadoop. It is the wrong scale for a focused mid-market implementation. If you are considering it anyway, ask for a scoped team and quote.
8. XenonStack
XenonStack builds agentic AI systems, real-time analytics, and platform engineering work, which maps to Fabric’s Real-Time Intelligence workload, across AWS, Azure, GCP, Databricks, Kafka, Spark, and Kubernetes. It is a poor match for a batch warehouse or Snowflake-led migration: Snowflake is absent from its listed stack, which centers on agentic AI and streaming.
What does a Microsoft Fabric consulting engagement involve?
A Fabric engagement typically covers lakehouse and schema design in OneLake, Synapse Data Engineering and Data Warehousing work, Data Factory pipeline builds, and Power BI semantic models, plus migration from standalone Synapse or Power BI Premium capacity into Fabric’s unified SaaS model. Some engagements add Copilot enablement. Scope varies by firm - confirm what’s included before signing a statement of work.
How much does Microsoft Fabric consulting cost?
We don’t publish rates or project minimums for the firms above. Cost depends mostly on scope: how many workloads move into Fabric, how much Power BI semantic-model rework is involved, and whether you need ongoing support. Fabric capacity is a separate platform cost from consulting fees. Ask each shortlisted firm for a scoped quote, and see data engineering consulting rates for market-level context.
How do you verify a firm’s Microsoft Fabric expertise?
To confirm a firm holds the Fabric Analytics Engineer Associate credential (DP-600) or a relevant partner tier, check Microsoft’s Fabric partner directory directly. We don’t verify Fabric-specific certifications or Microsoft Solutions Partner designations.
Which of these firms lead with the Microsoft stack?
EY is the only firm that lists Microsoft Fabric explicitly. Kanerika Inc and Celebal Technologies position themselves as Azure and Power BI specialists. The remaining five firms are multi-cloud shops where Azure is one platform among several, alongside AWS, GCP, and Snowflake.
When do you need a Fabric consultant vs in-house?
Bring in a consultant for platform-specific work your team hasn’t done before - OneLake shortcut design, Synapse-to-Fabric migration, or rebuilding semantic models across Power BI and Fabric together. Handle Fabric in-house when your team already owns the Power BI and Azure Synapse environment being migrated, and the remaining work is routine pipeline maintenance.
Frequently asked questions
Which of these 8 firms explicitly list Microsoft Fabric in your directory?
Only EY. The other seven firms - Celebal Technologies, DataArt, Devoteam, Kanerika Inc, ProCogia, Wipro, and XenonStack - list Azure, Power BI, or Azure Synapse capability, which forms the foundation Fabric consolidates, but not a stated Fabric practice.
Which of these firms suit a small or mid-market project?
Check scope before size. Devoteam and Wipro are positioned for larger enterprise work, so ask either for a scoped team and quote. EY is built around compliance, audit, and finance-data depth, so ask it to separate technical delivery from advisory work. ProCogia is less suited to a large multi-workstream program, so ask for named leads and staffing commitments.
Does the DP-600 Fabric Analytics Engineer certification matter for hiring a consultant?
It can, if certified individual expertise is a requirement. DP-600 (Microsoft Certified: Fabric Analytics Engineer Associate) became generally available May 7, 2024. We don’t verify which consultants or firms hold it - verify directly through Microsoft’s Fabric partner directory before you shortlist a firm on that basis.
How many firms in your directory offer Azure services overall?
70 of the 86 firms profiled in our directory list Azure capability, and 21 list Power BI. The 8 above are a subset selected for this guide because their stack maps most closely to Fabric’s building blocks; browse the full Data Engineering Companies Index to see the rest.
- Part of our guide: Azure Data Engineering →
Researched & written by
Peter Korpak , Chief Analyst & Founder
Data-driven market researcher with 20+ years in market research and 10+ years helping software agencies and IT organizations make evidence-based decisions. Former market research analyst at Aviva Investors and Credit Suisse.
Previously: Aviva Investors · Credit Suisse · Brainhub · 100Signals
- Accenture779000 people · unverified
Large enterprises running multi-cloud transformations across AWS, Azure, and GCP simultaneously, where a single integrator needs to own the full program.
Listed, not reviewed - BIZTORY100 people · unverified
Asian markets; Microsoft Azure and PowerBI specialists
Listed, not reviewed - BlueCloud100 people · unverified
Mid-market companies modernizing to a cloud data stack on Databricks or Snowflake with AWS or Azure. Ask for comparable implementations and the proposed team.
Listed, not reviewed
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