Enterprise data platform that unifies everything

Microsoft Fabric implementation for large organizations with complex data needs. Complete data warehouse, real-time analytics, and AI capabilities that scale to billions of rows. Built with AI, so it is live in days rather than months.

Fixed price
from $200
Delivery
2 to 10 working days
Billing
Agreed before work starts
If not live in 10 working days
We work for free

Is Microsoft Fabric the right fit?

Not ideal if

  • Simple reporting (3-5 dashboards): use Power BI standalone
  • Small data (under 1M rows): Zoho Analytics sufficient
  • Tight budget: platform starts ₹50K/month
  • Small team (under 50 people): simpler tools work fine

Perfect if you have

  • Complex data landscape (10+ systems)
  • High data volume (millions of rows)
  • Need real-time analytics
  • Microsoft ecosystem (Office 365, Azure, Dynamics)
  • Advanced analytics needs (ML, AI)
  • Budget for enterprise platform (₹1L+/month)

Enterprise capabilities

Unified data platform

All-in-one analytics platform combining data engineering, warehousing, data science, real-time analytics, and BI. No more integration nightmares.

OneLake storage

Single data lake that all tools can access. No more copying data between systems. One source of truth for your entire organization.

AI-first architecture

Built-in machine learning, natural language queries, and auto-insights. Advanced analytics capabilities without additional platforms.

Real-time pipelines

Stream data in real time or process it in batches. Incremental loads, scheduled refreshes, and continuous monitoring of data quality.

Power BI integration

Unlimited Power BI users included. Pre-built dashboards for sales, finance, operations, and custom analytics for your team.

Enterprise security

Row-level security, data governance, compliance features (GDPR, HIPAA, SOC 2), and complete audit logging built in.

What's included

Microsoft Fabric is 7 products in one platform.

The 7 products

  • Data Factory
  • Synapse Data Engineering
  • Data Warehouse
  • Data Science
  • Real-Time Analytics
  • Power BI
  • Data Activator

What we set up

  • OneLake data lake configuration
  • Data Factory pipelines (5-20 sources)
  • Synapse data warehouse design
  • Power BI dashboards (5-20 dashboards)
  • Machine learning models (2-3 models)
  • Real-time data streaming setup
  • Data quality and governance framework
  • Security and compliance configuration
  • User training sessions
  • 90-180 day support included

Fabric packages

Three sizes, each with a fixed price range and a fixed delivery time. We confirm the exact figure in writing before work starts.

Fabric Foundation

$200 – $700
Live in 2–3 working days

First Fabric implementation, essential analytics (5-10 systems)

  • Fabric workspace setup
  • OneLake data lake configuration
  • Data Factory pipelines (5-10 sources)
  • Data warehouse design and implementation
  • Power BI dashboards (5-8 dashboards)
  • Basic data quality rules
Show all 10
  • Automated alerts (10 alerts)
  • Security and governance setup
  • User training (4 sessions)
  • 90-day support
Get a fixed quote

Fabric Enterprise

$1,600 – $4,000
Live in 6–10 working days

Enterprise-wide data platform (20+ systems)

  • Everything in Advanced, plus:
  • Multiple Fabric workspaces (dev, test, prod)
  • Complex ML pipelines
  • Real-time decision automation
  • Advanced AI features
  • Custom integrations
Show all 16
  • Disaster recovery and backup
  • High availability architecture
  • Dedicated Fabric capacity
  • Full data governance platform
  • Compliance (GDPR, HIPAA, SOC 2)
  • DevOps and CI/CD pipelines
  • Unlimited dashboards and reports
  • 10 training sessions
  • Dedicated data engineer (6 months)
  • 180-day support + quarterly optimization
Get a fixed quote

Fixed scope, fixed price, fixed date. Live in 10 working days, or we keep working for free.

Ready for an enterprise data platform?

Schedule a Fabric assessment. We'll discuss your data landscape, architecture approach, and ROI estimate.

No obligation. Live in 10 working days, or we keep working for free.