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Arivonix AI

Cloud agnostic data platform with Agentic AI

Works directly on enterprise data across environments, using agentic AI to drive actions and outcomes.

Microsoft Fabric

Cloud-native Data Fabric Platform

Centralizes enterprise data within the Microsoft cloud for analytics, BI, and governance.

Arivonix AI vs Microsoft Fabric | vs
See Platform Differences

Why Each Platform Exists

Arivonix AI was designed for enterprises operating across multiple clouds and systems enabling data and AI driven workflows to run in-place across warehouses, APIs, and on-prem environments without enforced centralization or data movement.

Microsoft Fabric was designed to unify analytics, BI, and data engineering within the Azure ecosystem, providing a streamlined experience for organizations standardized on Microsoft technologies.
arivonix ai vs Ms Fabric

Platform Comparison

Cloud agnostic data platform with Agentic AI
vs Cloud-native Data Fabric Platform

Arivonix AI
Microsoft Fabric
Core Platform Intent
End-to-end data management Agentic AI platform
Unified analytics and BI platform within the Microsoft Azure ecosystem
Core Architecture
Distributed cloud-agnostic fabric data can be queried and processed in place
Centralized cloud-native lakehouse data must be ingested into OneLake before processing
Data Ingestion
Batch and real-time ingestion across 250 data connectors
Optimized for Azure Data Factory pipelines loading data into OneLake
Data Access Model
Zero data movement; query data where it lives
Data must be centralized before querying or analytics
Analytics & BI
Supports analytics, APIs, AI search, and downstream consumers Read More
Deep integration with Power BI for dashboards and reporting
AI Execution
Built-in No code AI designer with system and custom agents
AI enabled via Azure ML and Azure OpenAI services
SLM Model Usage
Native SLM execution inside workflows for real-time reasoning
Supports SLMs through built-in AI Functions and SynapseML
Production Lifecycle
One-click Dev → QA → Prod with governance
Azure-managed deployment and scaling
Security and Compliance
ISO 27001, SOC 2 Type II; Zero Trust security, multi-key encryption, nano-segmentation, multi-layered security Read More
Azure-native security & compliance; inherits Azure certifications (ISO 27001, SOC 1/2/3), Azure AD, RBAC, encryption at rest and in transit
Operational Cost & Exit
Lower costs with in-place processing; easy to switch clouds or infrastructure
Rising Azure storage and compute costs; hard to move out once data and workflows are in Microsoft

When Each Platform Fits?

Choose the right automation platform for your needs

Arivonix AI

Fits when:

  • Data and AI operate across multiple environments
  • Real-time access and AI driven workflows are required
  • Centralization is impractical or undesirable

Microsoft Fabric

Fits when:

  • Azure is the primary cloud strategy
  • Analytics and BI are the main objectives
  • Centralized data models are acceptable

If your goal is consolidating enterprise analytics, BI, and governance in a cloud-native, Microsoft-only environment, Microsoft Fabric offers a tightly integrated Azure platform.

If your goal is acting on data in real time across clouds and on-premises systems, automating intelligent AI workflows, and turning insights into business impact, Arivonix AI is purpose-built for speed and direct revenue focus.

Ready to Choose Arivonix AI?

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Introducing Agent Arivon. Your AI Data Engineer.

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