Microsoft HDInsight vs HortonWorks Data Platform

Struggling to choose between Microsoft HDInsight and HortonWorks Data Platform? Both products offer unique advantages, making it a tough decision.

Microsoft HDInsight is a Ai Tools & Services solution with tags like hadoop, hive, spark, azure, big-data, analytics.

It boasts features such as Managed Hadoop clusters in the cloud, Integration with other Azure services, Supports popular open source frameworks like Hadoop, Spark, Hive, LLAP, Kafka, Storm, R & more, Enterprise-grade security and governance and pros including Reduced time to insight with managed clusters, Lower operational costs with cloud-based service, Flexibility to work with open source frameworks, Built-in integration and compatibility with other Azure services.

On the other hand, HortonWorks Data Platform is a Ai Tools & Services product tagged with hadoop, big-data, analytics.

Its standout features include Distributed storage and processing using Hadoop, Real-time data processing with Storm, Data governance and security, Simplified management and monitoring, Integration with R, Python, Spark and more, and it shines with pros like Open source and free, Scalable and flexible, Supports wide variety of workloads, Enterprise-grade security and governance, Large ecosystem of integrations.

Feature	Microsoft HDInsight	HortonWorks Data Platform
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

Microsoft HDInsight

Description: Microsoft HDInsight is a fully managed, full spectrum open source analytics service for enterprises. It is a cloud service that makes it easier, faster, and more cost-effective to process massive amounts of data.

HortonWorks Data Platform

Description: HortonWorks Data Platform (HDP) is an open source distributed data management platform based on Apache Hadoop. It provides scalable and flexible data storage and processing for big data workloads.

Key Features Comparison

Microsoft HDInsight Features

• Managed Hadoop clusters in the cloud
• Integration with other Azure services
• Supports popular open source frameworks like Hadoop, Spark, Hive, LLAP, Kafka, Storm, R & more
• Enterprise-grade security and governance

HortonWorks Data Platform Features

• Distributed storage and processing using Hadoop
• Real-time data processing with Storm
• Data governance and security
• Simplified management and monitoring
• Integration with R, Python, Spark and more

Pros & Cons Analysis

Microsoft HDInsight

Pros

• Reduced time to insight with managed clusters
• Lower operational costs with cloud-based service
• Flexibility to work with open source frameworks
• Built-in integration and compatibility with other Azure services

Cons

• Dependency on Microsoft Azure cloud
• Less flexibility compared to managing own Hadoop clusters
• Complex pricing structure
• Steep learning curve for some features

HortonWorks Data Platform

Pros

• Open source and free
• Scalable and flexible
• Supports wide variety of workloads
• Enterprise-grade security and governance
• Large ecosystem of integrations

Cons

• Complex to set up and manage
• Requires expertise in Hadoop and big data
• Not as user friendly as some alternatives
• Limited support options

Pricing Comparison

Microsoft HDInsight

• Subscription-Based
• Pay-As-You-Go

HortonWorks Data Platform

• Open Source
• Subscription-Based