Databricks vs Microsoft Azure
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description: Databricks is a specialized Apache Spark-based analytics platform optimized for data engineering and ML workflows, while Azure is a comprehensive cloud infrastructure provider offering compute, storage, databases, and AI services. Databricks excels at unified data and AI processing, whereas Azure provides broader enterprise cloud capabilities with deeper Microsoft ecosystem integration.
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Databricks vs Microsoft Azure
type: Article
type: TechArticle
abstract: Databricks is a specialized Apache Spark-based analytics platform optimized for data engineering and ML workflows, while Azure is a comprehensive cloud infrastructure provider offering compute, storage, databases, and AI services. Databricks excels at unified data and AI processing, whereas Azure provides broader enterprise cloud capabilities with deeper Microsoft ecosystem integration.
description: Databricks is a specialized Apache Spark-based analytics platform optimized for data engineering and ML workflows, while Azure is a comprehensive cloud infrastructure provider offering compute, storage, databases, and AI services. Databricks excels at unified data and AI processing, whereas Azure provides broader enterprise cloud capabilities with deeper Microsoft ecosystem integration.
language: en-US
main entity of page: Databricks vs Microsoft Azure
content reference time: 2026-07-08T06:01:29.262Z
author: A Versus B
publisher: A Versus B
date published: 2026-07-08T06:01:29.215Z
date created: 2026-07-08T06:01:29.215Z
date modified: 2026-07-08T06:01:29.262Z
text: Choose Databricks if your primary workload involves big data analytics, data engineering, or machine learning model development with Apache Spark—it offers superior data lakehouse architecture and unified analytics. Choose Azure if you need a comprehensive enterprise cloud platform with broad service offerings, require deep Microsoft product integration (Office 365, Dynamics 365, Power BI), or want a single vendor managing compute, storage, databases, and applications.
genre: Software
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potential action: Compare Databricks vs Microsoft Azure
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  target: Databricks vs Microsoft Azure
  object: Databricks
  object: Microsoft Azure
about: Databricks
about: Microsoft Azure
mentions: Primary Purpose
mentions: Apache Spark Optimization
mentions: Data Lakehouse Capabilities
mentions: Enterprise Breadth
mentions: Microsoft Ecosystem Integration
mentions: Starter Pricing (Monthly)
mentions: AI/ML Model Training
related link: https://www.aversusb.net/compare/databricks-vs-azure
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related link: https://www.aversusb.net/compare/apache-spark-vs-databricks
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related link: https://www.aversusb.net/compare/databricks-vs-bigquery
citation: Databricks — Wikipedia
citation: Microsoft Azure — Wikipedia
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A Versus B
type: Organization

Databricks
type: Thing
description: Managed cloud analytics platform built on Apache Spark with native collaboration, MLOps, and governance
language: en-US
image: ImageObject
  caption: Databricks
subject of: Databricks vs Microsoft Azure

Microsoft Azure
type: SoftwareApplication
description: Enterprise cloud platform offering 200+ services across compute, storage, databases, AI, and business applications
alternate name: MA
language: en-US
image: ImageObject
  caption: Microsoft Azure
subject of: Databricks vs Microsoft Azure

Databricks vs Microsoft Azure — Comparison Data
type: Dataset
description: Structured comparison data for Databricks vs Microsoft Azure with 179 attributes.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: Schema.org JSON-LD (pure)
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distribution: AI Answer API (citation-ready)
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variable measured: Starting Monthly Cost
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variable measured: SQL Query Standards Compliance
variable measured: Query Latency (median, standard ETL workload)
variable measured: Built-in Collaboration Tools (notebooks, dashboards, repos)
variable measured: Community Size (GitHub Stars)

Databricks vs Microsoft Azure — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Databricks vs Microsoft Azure.
has defined term: Pricing
has defined term: User Experience
has defined term: Performance
has defined term: Capabilities
has defined term: Market Position
has defined term: Flexibility
has defined term: Features
has defined term: Development
has defined term: Infrastructure
has defined term: ML Features
has defined term: Collaboration
has defined term: Integrations
has defined term: Data Architecture
has defined term: Cost Optimization
has defined term: Cost
has defined term: Deployment
has defined term: Operations
has defined term: Security
has defined term: Compatibility
has defined term: Community
has defined term: Query Capability
has defined term: Integration
has defined term: Reliability
has defined term: AI/ML Capabilities
has defined term: Architecture
has defined term: Implementation
has defined term: Platform Capabilities
has defined term: Enterprise Adoption
has defined term: AI/ML
has defined term: Data Management
has defined term: Market
has defined term: Machine Learning
has defined term: Governance
has defined term: Usability
has defined term: Functionality
has defined term: Ease of Use
has defined term: Platform Breadth
has defined term: Enterprise Integration
has defined term: Security & Governance
has defined term: Data Reliability
has defined term: Scalability
has defined term: ML Operations
has defined term: Data Portability
has defined term: Platform
has defined term: Artificial Intelligence
has defined term: Containerization
has defined term: AI & Analytics
has defined term: Enterprise Features
has defined term: Support
has defined term: Container Tech
has defined term: Data Analytics
has defined term: Onboarding
has defined term: Security & Compliance
has defined term: Database Performance
has defined term: Platform Integration
has defined term: Data & Storage
has defined term: Market Adoption
has defined term: Infrastructure Scale
has defined term: Compute
has defined term: Advanced Features
has defined term: Pricing Clarity
has defined term: Breadth
has defined term: BI Capability

Pricing
type: DefinedTerm
term code: pricing
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

User Experience
type: DefinedTerm
term code: user-experience
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Capabilities
type: DefinedTerm
term code: capabilities
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Market Position
type: DefinedTerm
term code: market-position
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Flexibility
type: DefinedTerm
term code: flexibility
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Development
type: DefinedTerm
term code: development
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

ML Features
type: DefinedTerm
term code: ml-features
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Collaboration
type: DefinedTerm
term code: collaboration
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Integrations
type: DefinedTerm
term code: integrations
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Data Architecture
type: DefinedTerm
term code: data-architecture
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Cost Optimization
type: DefinedTerm
term code: cost-optimization
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Operations
type: DefinedTerm
term code: operations
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Security
type: DefinedTerm
term code: security
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Compatibility
type: DefinedTerm
term code: compatibility
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Query Capability
type: DefinedTerm
term code: query-capability
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

AI/ML Capabilities
type: DefinedTerm
term code: ai/ml-capabilities
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Implementation
type: DefinedTerm
term code: implementation
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Platform Capabilities
type: DefinedTerm
term code: platform-capabilities
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Enterprise Adoption
type: DefinedTerm
term code: enterprise-adoption
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

AI/ML
type: DefinedTerm
term code: ai/ml
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Data Management
type: DefinedTerm
term code: data-management
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Market
type: DefinedTerm
term code: market
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Machine Learning
type: DefinedTerm
term code: machine-learning
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Governance
type: DefinedTerm
term code: governance
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Functionality
type: DefinedTerm
term code: functionality
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Platform Breadth
type: DefinedTerm
term code: platform-breadth
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Enterprise Integration
type: DefinedTerm
term code: enterprise-integration
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Security & Governance
type: DefinedTerm
term code: security-&-governance
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Data Reliability
type: DefinedTerm
term code: data-reliability
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

ML Operations
type: DefinedTerm
term code: ml-operations
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Data Portability
type: DefinedTerm
term code: data-portability
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Platform
type: DefinedTerm
term code: platform
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Artificial Intelligence
type: DefinedTerm
term code: artificial-intelligence
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Containerization
type: DefinedTerm
term code: containerization
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

AI & Analytics
type: DefinedTerm
term code: ai-&-analytics
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Enterprise Features
type: DefinedTerm
term code: enterprise-features
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Support
type: DefinedTerm
term code: support
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Container Tech
type: DefinedTerm
term code: container-tech
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Data Analytics
type: DefinedTerm
term code: data-analytics
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Onboarding
type: DefinedTerm
term code: onboarding
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Security & Compliance
type: DefinedTerm
term code: security-&-compliance
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Database Performance
type: DefinedTerm
term code: database-performance
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Platform Integration
type: DefinedTerm
term code: platform-integration
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Data & Storage
type: DefinedTerm
term code: data-&-storage
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Market Adoption
type: DefinedTerm
term code: market-adoption
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Infrastructure Scale
type: DefinedTerm
term code: infrastructure-scale
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Compute
type: DefinedTerm
term code: compute
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Advanced Features
type: DefinedTerm
term code: advanced-features
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Pricing Clarity
type: DefinedTerm
term code: pricing-clarity
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

Breadth
type: DefinedTerm
term code: breadth
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

BI Capability
type: DefinedTerm
term code: bi-capability
in defined term set: Databricks vs Microsoft Azure — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-08T06:01:29.262Z
author: A Versus B
publisher: A Versus B
is part of: Databricks vs Microsoft Azure
main entity: Can I use Databricks with Azure?
  type: Question
  accepted answer: Answer
    text: Yes. Databricks operates as a SaaS platform on top of cloud providers, including Azure. You can deploy Databricks on Azure infrastructure while retaining multi-cloud portability, and integrate with Azure services like Synapse Analytics and Power BI.
    language: en-US
main entity: Which is better for SQL analytics?
  type: Question
  accepted answer: Answer
    text: Both support SQL, but differently. Databricks uses Spark SQL optimized for large-scale distributed queries with Delta Lake ACID support. Azure offers SQL Database and Synapse SQL with strong transactional guarantees. For petabyte-scale data lake queries, Databricks excels; for traditional OLTP/OLAP, Azure SQL is purpose-built.
    language: en-US
main entity: How much does each cost for a small team?
  type: Question
  accepted answer: Answer
    text: Databricks: ~$400-800/month for 1-2 developers on standard compute. Azure: ~$100-300/month for equivalent compute (VMs), but professional services and Power BI licensing add $500+/month. Databricks has predictable per-DBU pricing; Azure's cost depends heavily on resource type and consumption patterns.
    language: en-US
main entity: Does Databricks replace Azure?
  type: Question
  accepted answer: Answer
    text: No. Databricks is a specialized platform for data analytics and ML; it doesn't replace Azure's broader cloud services (networking, databases, app hosting, identity management). Many organizations use both—Databricks for data workloads on top of Azure infrastructure.
    language: en-US
main entity: Which has better machine learning capabilities?
  type: Question
  accepted answer: Answer
    text: Databricks includes MLflow (industry standard), unified ML runtime, and AutoML natively in the platform. Azure offers Azure ML Studio and AutoML as separate services. For end-to-end ML from data prep to deployment, Databricks has a more integrated experience; Azure provides more enterprise governance tools.
    language: en-US

Data Governance Features
type: PropertyValue
value reference: Data Management

Typical Enterprise Migration Time
type: PropertyValue
value reference: Implementation

Initial Setup Time to Production
type: PropertyValue
value reference: Deployment

Processing Speed vs MapReduce Baseline
type: PropertyValue
value reference: Performance

Monthly Cost (100GB monthly data ingestion, 1,000 compute hours)
type: PropertyValue
value reference: Pricing

Required Team Skills (FTE equivalents for operations)
type: PropertyValue
value reference: Operations

SQL Query Standards Compliance
type: PropertyValue
value reference: Features

Query Latency (median, standard ETL workload)
type: PropertyValue
value reference: Performance

Built-in Collaboration Tools (notebooks, dashboards, repos)
type: PropertyValue
value reference: Features

Community Size (GitHub Stars)
type: PropertyValue
value reference: Community

SQL Query Performance (TPC-DS 100TB)
type: PropertyValue
value reference: Performance

Spark Job Acceleration
type: PropertyValue
value reference: Performance

ML Frameworks Supported
type: PropertyValue
value reference: AI/ML Capabilities

Data Governance Granularity
type: PropertyValue
value reference: Security & Governance

Global Region Availability
type: PropertyValue
value reference: Infrastructure

Enterprise Service Count
type: PropertyValue
value reference: Platform Breadth

Starting Monthly Cost (10TB workload)
type: PropertyValue
value reference: Pricing

ACID Transaction Support
type: PropertyValue
value reference: Data Reliability

SQL Query Performance (1TB dataset)
type: PropertyValue
value reference: Performance

Base Monthly Cost (minimum)
type: PropertyValue
value reference: Pricing

Native ML/AI Capabilities
type: PropertyValue
value reference: Features

Data Format Support
type: PropertyValue
value reference: Flexibility

Concurrent Users Support
type: PropertyValue
value reference: Scalability

Data Warehouse Setup Time
type: PropertyValue
value reference: Ease of Use

Global Market Share (2024)
type: PropertyValue
value reference: Market Position

ML Model Training Cost Efficiency
type: PropertyValue
value reference: ML Operations

Starting Monthly Cost (10GB active data)
type: PropertyValue
value reference: Pricing

SQL Query Performance (TPC-DS Benchmark)
type: PropertyValue
value reference: Performance

Native ML Framework Integration
type: PropertyValue
value reference: Capabilities

Data Format Lock-in Risk
type: PropertyValue
value reference: Data Portability

BI Tool Native Connectors
type: PropertyValue
value reference: Integrations

Maximum Concurrent Queries Per Warehouse
type: PropertyValue
value reference: Performance

Customer Satisfaction Rating (G2 2025)
type: PropertyValue
value reference: User Experience

Setup Complexity (1-10 scale)
type: PropertyValue
value reference: Deployment

Initial Deployment Time
type: PropertyValue
value reference: Operations

Processing Speed (Iterative ML)
type: PropertyValue
value reference: Performance

SQL Query Latency (100GB dataset)
type: PropertyValue
value reference: Performance

Annual Cost (100TB/year, 5-node baseline)
type: PropertyValue
value reference: Cost

Native Row/Column-Level Access Control
type: PropertyValue
value reference: Governance

Cluster Auto-scaling Capability
type: PropertyValue
value reference: Operations

Collaborative Notebooks with Version Control
type: PropertyValue
value reference: Collaboration

On-Premises Deployment Option
type: PropertyValue
value reference: Deployment

Total Available Services
type: PropertyValue
value reference: Platform

Standard Storage Cost
type: PropertyValue
value reference: Pricing

Archival Storage Cost
type: PropertyValue
value reference: Pricing

AI/ML Model Flexibility
type: PropertyValue
value reference: Artificial Intelligence

Hybrid Cloud Support Maturity
type: PropertyValue
value reference: Infrastructure

Global Data Centers
type: PropertyValue
value reference: Infrastructure

Container Serverless Performance
type: PropertyValue
value reference: Containerization

Market Share 2026
type: PropertyValue
value reference: Market Position

Global Market Share (2026)
type: PropertyValue
value reference: Market Position

Global Availability Zones
type: PropertyValue
value reference: Infrastructure

Pricing Model Complexity
type: PropertyValue
value reference: Pricing

ML/AI Service Innovation Rating
type: PropertyValue
value reference: AI & Analytics

Hybrid Cloud Support Level
type: PropertyValue
value reference: Enterprise Features

Windows/Active Directory Integration
type: PropertyValue
value reference: Enterprise Integration

Developer Community Size
type: PropertyValue
value reference: Support

Container/Kubernetes Strength
type: PropertyValue
value reference: Container Tech

BigQuery-Grade Analytics
type: PropertyValue
value reference: Data Analytics

Data Warehouse Query Speed (Typical)
type: PropertyValue
value reference: Performance

Global Edge Locations
type: PropertyValue
value reference: Infrastructure

Free Tier Monthly Requests
type: PropertyValue
value reference: Pricing

DDoS Protection Capacity
type: PropertyValue
value reference: Security

Entry-Level VM Cost (Monthly)
type: PropertyValue
value reference: Pricing

Pro Plan Monthly Price
type: PropertyValue
value reference: Pricing

Average DNS Query Response Time
type: PropertyValue
value reference: Performance

Supported Programming Languages (Workers/Serverless)
type: PropertyValue
value reference: Development

Enterprise Support Response SLA
type: PropertyValue
value reference: Support

Entry-Level VM/Droplet Cost
type: PropertyValue
value reference: Pricing

Standard 2GB RAM VM Cost
type: PropertyValue
value reference: Pricing

Available Services/Products
type: PropertyValue
value reference: Features

Uptime SLA
type: PropertyValue
value reference: Reliability

Time to Deploy First VM
type: PropertyValue
value reference: Usability

AI/ML Services
type: PropertyValue
value reference: Features

Free Tier Credit
type: PropertyValue
value reference: Onboarding

Global Market Share
type: PropertyValue
value reference: Market Position

Compute Instance Cost (Monthly)
type: PropertyValue
value reference: Pricing

AI/ML Service Portfolio
type: PropertyValue
value reference: Platform Capabilities

Global Regions
type: PropertyValue
value reference: Infrastructure

Compliance Certifications
type: PropertyValue
value reference: Security & Compliance

Oracle Database Performance Optimization
type: PropertyValue
value reference: Database Performance

Microsoft Enterprise Integration
type: PropertyValue
value reference: Integration

License Mobility Cost Advantage
type: PropertyValue
value reference: Pricing

Global Market Share 2026
type: PropertyValue
value reference: Market Position

Available Regions
type: PropertyValue
value reference: Infrastructure

AI/ML Services Available
type: PropertyValue
value reference: AI & Analytics

Entry-Level VM Monthly Cost
type: PropertyValue
value reference: Pricing

Red Hat OpenShift Integration
type: PropertyValue
value reference: Platform Integration

Windows Server Optimization
type: PropertyValue
value reference: Enterprise Integration

Uptime SLA Guarantee
type: PropertyValue
value reference: Reliability

Database Services Offered
type: PropertyValue
value reference: Data & Storage

Global Market Share (Cloud IaaS)
type: PropertyValue
value reference: Market Position

Total Cloud Services
type: PropertyValue
value reference: Capabilities

Fortune 500 Adoption Rate
type: PropertyValue
value reference: Market Adoption

Global Data Center Regions
type: PropertyValue
value reference: Infrastructure Scale

Compute Instance Starting Price (hourly)
type: PropertyValue
value reference: Pricing

Reserved Instance Discount (1-year)
type: PropertyValue
value reference: Pricing

SQL Server Database Support
type: PropertyValue
value reference: Enterprise Features

Machine Learning Service Maturity
type: PropertyValue
value reference: AI/ML Capabilities

Basic Compute Instance Hourly Cost
type: PropertyValue
value reference: Pricing

Monthly Compute Instance Cost
type: PropertyValue
value reference: Pricing

Free Trial Credit
type: PropertyValue
value reference: Pricing

Available Cloud Regions
type: PropertyValue
value reference: Infrastructure

Platform Services Offered
type: PropertyValue
value reference: Features

Maximum Virtual Machine RAM
type: PropertyValue
value reference: Compute

Premium Support Response Time
type: PropertyValue
value reference: Support

Entry-Level Pricing
type: PropertyValue
value reference: Pricing

Free Trial Duration
type: PropertyValue
value reference: Onboarding

Setup Time to First Deployment
type: PropertyValue
value reference: User Experience

AI/ML Service Coverage
type: PropertyValue
value reference: Advanced Features

Enterprise Compliance Certifications
type: PropertyValue
value reference: Security

Monthly Billing Transparency
type: PropertyValue
value reference: Pricing Clarity

Spark Query Performance (vs baseline)
type: PropertyValue
value reference: Performance

Base Compute Cost (per DBU/hour)
type: PropertyValue
value reference: Pricing

Cloud Platform Options
type: PropertyValue
value reference: Infrastructure

Native Data Lakehouse
type: PropertyValue
value reference: Architecture

Total Cloud Services Available
type: PropertyValue
value reference: Breadth

Power BI Integration
type: PropertyValue
value reference: BI Capability

Multi-workspace Collaboration
type: PropertyValue
value reference: Collaboration

Data Security (Encryption)
type: PropertyValue
value reference: Security