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.
Cloudera CDH, Google Cloud Dataproc, Domino Data Lab, Datameer, Greenplum HD, Platfora, IBM InfoSphere BigInsights, Alpine Chorus, Amazon EMR, Sybase IQ, Microsoft HDInsight are some alternatives to HortonWorks Data Platform.