Hortonworks Data Platform (HDP) is designed for businesses seeking robust big data management. It provides tools for data collection, processing, and analysis. Key features include seamless integration with Hadoop, scalable architecture, and a comprehensive suite of applications for diverse data needs.

What are the main features of Hortonworks Data Platform HDP?

Seamless Hadoop Integration

Leverage the power of Apache Hadoop with Hortonworks Data Platform, offering seamless and efficient integration, enabling enterprises to maximize data-driven insights.

• Native Hadoop Support: Easily integrate with Hadoop ecosystems for comprehensive data processing.
• Open Source Flexibility: Benefit from an open source framework tailored for versatility and customization.
• Optimized Resource Management: Efficiently allocate resources for enhanced processing across multiple nodes.

Scalable Architecture

Adapt to evolving business needs with HDP’s scalable architecture, providing robust data management and processing capabilities.

• Elastic Scaling: Meet fluctuating data demands with seamless scaling.
• High Availability: Ensure uptime and reliability with distributed architecture.
• Cost-Effective Expansion: Reduce infrastructure costs as your data grows.

Comprehensive Data Applications

Empower users with a suite of applications designed to handle diverse data workloads efficiently and effectively.

• Real-Time Analytics: Run analytics in real-time with Apache Storm and Apache Kafka integration.
• Data Governance and Security: Ensure compliance with comprehensive data governance tools.
• Interactive Data Access: Offer intuitive data access with Hive and Pig applications for fast queries.

With Hortonworks Data Platform, businesses can enhance their big data management strategy, meeting complex data needs with innovation and precision.