HortonWorks Data Platform vs Domino Data Lab

Struggling to choose between HortonWorks Data Platform and Domino Data Lab? 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, Domino Data Lab is a Ai Tools & Services product tagged with data-science, machine-learning, model-management, collaboration.

Its standout features include Centralized model building workspace, Integrated tools for data access, model training, deployment and monitoring, Collaboration features like workspaces, permissions and version control, MLOps capabilities like CI/CD pipelines and model monitoring, Security and governance features, and it shines with pros like Improves efficiency and collaboration for data science teams, Enables rapid experimentation and deployment of models, Provides end-to-end MLOps capabilities, Built-in security and governance controls.

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

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.

Categories:
hadoop big-data analytics

HortonWorks Data Platform Features

  1. Distributed storage and processing using Hadoop
  2. Real-time data processing with Storm
  3. Data governance and security
  4. Simplified management and monitoring
  5. 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


Domino Data Lab

Domino Data Lab

Domino Data Lab is a collaborative data science platform that enables data science teams to develop, deploy, and monitor analytical models in a centralized workspace. It offers tools for model building, deployment, monitoring, and more with integrated security and governance features.

Categories:
data-science machine-learning model-management collaboration

Domino Data Lab Features

  1. Centralized model building workspace
  2. Integrated tools for data access, model training, deployment and monitoring
  3. Collaboration features like workspaces, permissions and version control
  4. MLOps capabilities like CI/CD pipelines and model monitoring
  5. Security and governance features

Pricing

  • Subscription-Based

Pros

Improves efficiency and collaboration for data science teams

Enables rapid experimentation and deployment of models

Provides end-to-end MLOps capabilities

Built-in security and governance controls

Cons

Can be complex to set up and manage

Requires change in processes for some data science teams

Limited customizability compared to open source options