Databricks vs Microsoft Fabric: Comparison

Databricks offers open-source flexibility with advanced AI capabilities, while Microsoft Fabric provides a more integrated experience for existing Microsoft users.

Features

Databricks

Databricks

Microsoft Fabric

Microsoft Fabric

Implementation timeline
Typically 3--6+ months for full implementation
Typically 3--6+ months for full implementation
Faster implementation (1--3 months) with existing Microsoft ecosystem
Faster implementation (1--3 months) with existing Microsoft ecosystem
Integration with CRM, ERP
Strong integration capabilities through connectors and APIs
Native integration with Dynamics 365 and excellent ERP connectivity
Pre-built connectors
200+ pre-built connectors available
300+ connectors with native integration to Microsoft ecosystem
AI/ML capabilities
Excellent capabilities with MLflow, advanced ML tooling, and Databricks Runtime for ML
Strong capabilities through Azure ML integration, but slightly less mature than Databricks
Total Cost of Ownership (TCO)
Higher costs, especially for compute resources and required expertise
Lower TCO for organizations already invested in Microsoft ecosystem
Ease of use
Steeper learning curve, more suitable for technical users
More intuitive UI, better for business analysts and less technical users
Vendor lock-in
Based on open-source technologies (Spark), more portable code
Higher vendor lock-in with Microsoft-specific features and ecosystem

Features

Databricks

Databricks

Microsoft Fabric

Microsoft Fabric

Implementation timeline
Typically 3--6+ months for full implementation
Faster implementation (1--3 months) with existing Microsoft ecosystem
Integration with CRM, ERP
Strong integration capabilities through connectors and APIs
Native integration with Dynamics 365 and excellent ERP connectivity
Pre-built connectors
200+ pre-built connectors available
300+ connectors with native integration to Microsoft ecosystem
AI/ML capabilities
Excellent capabilities with MLflow, advanced ML tooling, and Databricks Runtime for ML
Strong capabilities through Azure ML integration, but slightly less mature than Databricks
Total Cost of Ownership (TCO)
Higher costs, especially for compute resources and required expertise
Lower TCO for organizations already invested in Microsoft ecosystem
Ease of use
Steeper learning curve, more suitable for technical users
More intuitive UI, better for business analysts and less technical users
Vendor lock-in
Based on open-source technologies (Spark), more portable code
Higher vendor lock-in with Microsoft-specific features and ecosystem

Why businesses struggle with these solutions

Trapped data creates blind spots

Complex
implementation delay results

Fragmented tools prevent
AI success

Why businesses choose 5X instead

Access dedicated implementation services

5X provides dedicated implementation services that reduce setup time by 80%. Our expert team handles all technical complexity so you can focus entirely on business outcomes.

Deploy one platform for your data & AI journey

5X includes 500+ pre-built connectors in an end-to-end platform that eliminates tool sprawl. Integrate, transform, analyze, and deploy AI—all from a single platform.

Break free from vendor lock-in

5X is built on open standards with cloud-agnostic architecture. By leveraging best-in-class open-source technologies, we ensure your data remains portable and accessible, protecting your long-term investment.

Power enterprise-grade capabilities

Unlike tools that focus on either data integration or AI capabilities, 5X delivers both. Advanced semantic layers, robust role-based access control, and integrated data and AI applications work seamlessly together.

Cut infrastructure costs dramatically

5X's Kubernetes-based architecture delivers superior performance with lower cloud costs. The platform optimizes resource utilization, reducing infrastructure costs by up to 40% compared to piecing together multiple tools.

Get started risk-free in 48 hours

No other platform offers the confidence of our 48-hour jumpstart program. Experience real results with your actual business data before making any commitment—proving value before you invest fully.

Enterprise-grade security and compliance.

End-to-end data encryption

Industry-standard encryption for data at rest and in transit.

Enterprise-grade access controls

Granular role-based access (RBAC) and multi-factor authentication (MFA) to prevent unauthorized access.

Regulatory compliance and certifications

Meets global security standards including SOC 2, GDPR, HIPAA,and more.

Audit logs and governance

Comprehensive logging and monitoring for full data visibility and compliance.

Cloud deployment flexibility

Deploy securely on your cloud (AWS, Azure, GCP) for maximum control.

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