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.
hadoop
big-data
analytics
HortonWorks Data Platform: Open Source Distributed Data Management
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.
What is HortonWorks Data Platform?
HortonWorks Data Platform (HDP) is an open-source distributed data management platform powered by Apache Hadoop. HDP provides a scalable, flexible, and cost-effective solution for managing and analyzing big data workloads.
Some key features of HDP include:
- Distributed data processing and storage using the Hadoop Distributed File System (HDFS)
- YARN for job scheduling and cluster resource management
- Data ingestion, streaming, and real-time analytics with components like Kafka, Storm, and Spark
- Data governance, security, and lineage tracking
- Interoperability with common enterprise data platforms
HDP includes all the major Hadoop ecosystem components in a single pre-integrated software stack. This simplifies management and avoids compatibility issues across components. HDP is enterprise-ready for deploying in on-premise data centers or cloud environments.
Overall, HDP provides a flexible, scalable platform for working with big data on commodity hardware. With its wide array of components and active community support, HDP is a popular open source option among organizations adopting Hadoop and big data technologies.
HortonWorks Data Platform Features
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
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
Official Links
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