Amazon EMR vs HortonWorks Data Platform

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

Amazon EMR is a Ai Tools & Services solution with tags like hadoop, spark, big-data, distributed-computing, cloud.

It boasts features such as Managed Hadoop and Spark clusters, Supports multiple big data frameworks like Apache Spark, Apache Hive, Apache HBase, and more, Automatic scaling of compute and storage resources, Integration with AWS services like Amazon S3, Amazon DynamoDB, and Amazon Kinesis, Supports custom applications and scripts, Provides easy cluster configuration and management and pros including Fully managed big data platform, Scalable and fault-tolerant, Integrates with other AWS services, Reduces the need for infrastructure management, Flexible and supports various big data frameworks.

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.