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HortonWorks Data Platform VS Mode

Compare HortonWorks Data Platform VS Mode and see what are their differences

HortonWorks Data Platform logo HortonWorks Data Platform

The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

Mode logo Mode

A complete analytical toolkit, free forever
  • HortonWorks Data Platform Landing page
    Landing page //
    2023-09-28
  • Mode Landing page
    Landing page //
    2023-09-17

HortonWorks Data Platform features and specs

  • Open Source Foundation
    HortonWorks Data Platform (HDP) is built entirely on open-source technologies, allowing for greater community support, flexibility, and transparency in its development and deployment.
  • Enterprise-Grade Security
    HDP offers robust security features, including authentication, authorization, auditing, and data protection, which are critical for managing sensitive data in enterprise environments.
  • Scalability
    The platform can handle large volumes of data, making it suitable for enterprises that require scalable solutions to manage their big data demands.
  • Comprehensive Ecosystem
    HortonWorks provides a comprehensive suite of tools and integrations, including Apache Hadoop, Hive, HBase, and others, enabling diverse data processing and analytics capabilities.

Possible disadvantages of HortonWorks Data Platform

  • Complexity
    The platform's extensive set of features and integrations can be complex to configure and manage, especially for organizations without dedicated data engineering teams.
  • Resource Intensiveness
    Running HDP can be resource-intensive, requiring significant hardware and infrastructure investments, which might be a barrier for smaller organizations.
  • Learning Curve
    Due to its complexity and the breadth of technologies involved, there is a steep learning curve for new users or teams unfamiliar with the Hadoop ecosystem.
  • Support and Documentation
    While there is community support available due to its open-source nature, some users might find official support and comprehensive documentation lacking compared to proprietary solutions.

Mode features and specs

  • Ease of Use
    Mode offers a user-friendly interface that is intuitive and easy to navigate, making it accessible for users with varying levels of technical proficiency.
  • Collaborative Features
    Mode facilitates collaboration by allowing multiple users to work together on reports and dashboards simultaneously, enhancing teamwork and productivity.
  • Integrated SQL Editor
    The platform includes a built-in SQL editor, making it easy for users to write and execute SQL queries without needing external tools.
  • Interactive Dashboards
    Mode provides dynamic and interactive dashboards that enable users to drill down into data and gain insights quickly.
  • Data Source Integration
    The platform supports integration with a wide variety of data sources, allowing users to centralize their data analysis efforts in one place.
  • Python and R Support
    Mode supports both Python and R, offering data scientists and analysts the flexibility to conduct advanced statistical analysis and modeling within the platform.

Possible disadvantages of Mode

  • Cost
    The pricing structure can be expensive for small organizations or individual users, potentially making it less accessible for those with limited budgets.
  • Learning Curve
    While Mode is user-friendly, there can be a learning curve for users who are not familiar with SQL or other data analytic tools.
  • Performance Issues
    Some users have reported performance issues, such as slow load times and lag when dealing with large datasets.
  • Limited Advanced Visualization
    While Mode offers a variety of basic visualization options, it may lack the advanced and customizable visualization capabilities found in other BI tools.
  • Dependency on SQL Knowledge
    Mode relies heavily on SQL for data analysis, which may pose a challenge for users who do not have a strong background in SQL programming.
  • Customer Support
    Some users have reported that customer support can be slow to respond and may not always provide satisfactory solutions to more complex issues.

Analysis of Mode

Overall verdict

  • Mode is considered a robust tool for data analysis and visualization, especially for organizations requiring rapid insights and collaboration across different roles within data teams. It effectively bridges the gap between data engineering, analysis, and business strategy.

Why this product is good

  • Mode (mode.com) is a comprehensive data analysis and business intelligence platform that is praised for its ability to quickly combine SQL, Python, and R in a collaborative data analytics environment. It offers powerful visualization tools and seamless integration with data warehouses, making it useful for data teams needing to analyze and share insights efficiently. Its user-friendly interface and collaborative features make it easy for cross-functional teams to work together on data projects.

Recommended for

  • Data Analysts
  • Data Scientists
  • Business Intelligence Teams
  • Organizations with strong SQL, Python, or R usage
  • Teams requiring seamless collaboration across data roles

HortonWorks Data Platform videos

Why You Need Hortonworks Data Platform 3.0

More videos:

  • Review - Hortonworks Data Platform 3.0 – Faster, Smarter, Hybrid Data

Mode videos

How Mode Analytics designs for both new and power users

Category Popularity

0-100% (relative to HortonWorks Data Platform and Mode)
Data Dashboard
34 34%
66% 66
Big Data
100 100%
0% 0
Business Intelligence
0 0%
100% 100
Data Warehousing
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare HortonWorks Data Platform and Mode

HortonWorks Data Platform Reviews

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Mode Reviews

Best Alternatives to LeetCode For Data Science
Mode.com is one of the valuable alternatives to LeetCode if you're looking for a basic and straightforward method to learn. However, Mode Analytics is somewhat limited in terms of offering the opportunity to grow and test your skills.
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Mode is an analytics tool that helps companies make smarter decisions and answer questions by uncovering their data through interactive visualizations.
Source: www.datapad.io
25 Best Reporting Tools for 2022
Connecting data sources to the built-in SQL editor and visualization platform is simple with Mode Analytics. You may also set dashboards to auto-update, with themes and styles that can be changed on the fly to create visually appealing data representations.You can even share Python or R notebooks without having to worry about replicating development settings because the...
Source: hevodata.com

Social recommendations and mentions

Based on our record, Mode seems to be a lot more popular than HortonWorks Data Platform. While we know about 16 links to Mode, we've tracked only 1 mention of HortonWorks Data Platform. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

HortonWorks Data Platform mentions (1)

Mode mentions (16)

  • Mysterious Depeche Mode Show in the 80's
    I’ve seen a concert ticket from Turin for that tour. And the ticket stub is identical to that poster. If you go on depeche mode.com and check past tours. Go on music for masses tour and scroll down to Turin ( view ticket). I’m guessing they did something promotional and the promoter used that for poster. 🤷🏼‍♂️. Source: almost 2 years ago
  • SQL tips
    The sql training by mode.com is good enough, then go through leetcode or datalemur for practice. Source: over 2 years ago
  • Ask HN: Who is hiring? (September 2022)
    Mode | HQ - San Francisco, CA or Remote (US) | REMOTE | https://mode.com | VISA Mode is building a world-class platform for data scientists, analysts, and everyone else who needs to ask and answer questions with data. Our product is an integral part of data science workflows at Lyft, Twitch, Shopify, and thousands of other data-savvy organizations. To learn more about who we are, our engineering culture, and... - Source: Hacker News / over 2 years ago
  • Fix for the keyboard repeat delay issue
    - All this does is call "mode.com", which manages serial connections to the computer, and sets the keyboard repeat rate on login and unlock. Source: almost 3 years ago
  • Ask HN: Who is hiring? (February 2022)
    Mode | San Francisco, CA or Remote (US) | Onsite | Remote OK | https://mode.com Mode is building a world-class platform for data scientists, analysts, and everyone else who needs to ask and answer questions with data. Our product is an integral part of data science workflows at Lyft, Twitch, Shopify, and thousands of other data-savvy organizations. To learn more about who we are, our engineering culture, and... - Source: Hacker News / over 3 years ago
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What are some alternatives?

When comparing HortonWorks Data Platform and Mode, you can also consider the following products

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Chartio - Chartio is a powerful business intelligence tool that anyone can use.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Domo - Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.