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.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Microsoft HDInsight

Microsoft HDInsight

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.

Categories:
hadoop hive spark azure big-data analytics

Microsoft HDInsight Features

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

Pricing

  • Subscription-Based
  • Pay-As-You-Go

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

HortonWorks Data Platform

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.

Categories:
hadoop big-data analytics

HortonWorks Data Platform Features

  1. Distributed storage and processing using Hadoop
  2. Real-time data processing with Storm
  3. Data governance and security
  4. Simplified management and monitoring
  5. Integration with R, Python, Spark and more

Pricing

  • Open Source
  • Subscription-Based

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