HortonWorks Data Platform vs Datameer

Struggling to choose between HortonWorks Data Platform and Datameer? 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, Datameer is a Ai Tools & Services product tagged with data-analytics, business-intelligence, data-visualization, big-data.

Its standout features include Drag-and-drop interface for data integration, Pre-built connectors for databases, Hadoop, cloud storage, etc, Data modeling, ETL, and data preparation capabilities, Visualization and dashboarding, Collaboration tools for sharing insights, Support for big data platforms like Hadoop and Spark, Scalable to handle large datasets, REST APIs and SDKs for custom development, Governance features like data lineage, security, and access controls, and it shines with pros like Intuitive visual interface, Broad connectivity to data sources, Strong data preparation and ETL functionality, Scales to large data volumes, Collaboration features help share insights, Can leverage Hadoop and other big data platforms.

Feature	HortonWorks Data Platform	Datameer
Overall Score	N/A	N/A
Primary Category	Ai Tools & Services	Ai Tools & Services

Product Overview

HortonWorks Data Platform

Description: 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.

Datameer

Description: Datameer is a data analytics and business intelligence platform that enables organizations to integrate, analyze, and visualize large datasets from multiple sources. It supports big data technologies like Hadoop, Spark, and cloud platforms for scalable data analytics.

Key Features Comparison

HortonWorks Data Platform 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

Datameer Features

• Drag-and-drop interface for data integration
• Pre-built connectors for databases, Hadoop, cloud storage, etc
• Data modeling, ETL, and data preparation capabilities
• Visualization and dashboarding
• Collaboration tools for sharing insights
• Support for big data platforms like Hadoop and Spark
• Scalable to handle large datasets
• REST APIs and SDKs for custom development
• Governance features like data lineage, security, and access controls

Pros & Cons Analysis

HortonWorks Data Platform

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

Datameer

Pros

• Intuitive visual interface
• Broad connectivity to data sources
• Strong data preparation and ETL functionality
• Scales to large data volumes
• Collaboration features help share insights
• Can leverage Hadoop and other big data platforms

Cons

• Steep learning curve for advanced features
• Limited advanced statistical and machine learning capabilities
• Scripting and coding options are limited
• Can be expensive for larger deployments

Pricing Comparison

HortonWorks Data Platform

• Open Source
• Subscription-Based

Datameer

• Subscription-Based