Struggling to choose between HortonWorks Data Platform and Greenplum HD? Both products offer unique advantages, making it a tough decision.
HortonWorks Data Platform is a Ai Tools & Services solution with tags like hadoop, big-data, analytics.
It boasts features such as 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 pros including Open source and free, Scalable and flexible, Supports wide variety of workloads, Enterprise-grade security and governance, Large ecosystem of integrations.
On the other hand, Greenplum HD is a Ai Tools & Services product tagged with analytics, big-data, postgresql, parallel-processing.
Its standout features include Massively parallel processing (MPP) architecture, Column-oriented storage, In-database analytics, In-database Python programming, SQL support, Hadoop integration, Cloud-native deployment, and it shines with pros like Fast query performance on large datasets, Scales to petabyte-scale data volumes, Flexible deployment options - on-prem or cloud, Opensource and free to use, Supports standard SQL, Integrates with Hadoop ecosystem.
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.
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.
Greenplum HD is an open-source data analytics platform that enables fast processing of big data workloads. It is based on PostgreSQL and provides massively parallel processing capabilities for analytics queries across large data volumes.