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HortonWorks Data Platform VS Altiscale Data Cloud

Compare HortonWorks Data Platform VS Altiscale Data Cloud and see what are their differences

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HortonWorks Data Platform logo HortonWorks Data Platform

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

Altiscale Data Cloud logo Altiscale Data Cloud

Altiscale is a Hadoop-as-a-Service startup founded by ex-Yahoo CTO Raymie Stata designed to free users from the complexities of deploying, managing, and scaling a big data platform.
  • HortonWorks Data Platform Landing page
    Landing page //
    2023-09-28
  • Altiscale Data Cloud Landing page
    Landing page //
    2021-12-17

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.

Altiscale Data Cloud features and specs

No features have been listed yet.

HortonWorks Data Platform videos

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Why You Need Hortonworks Data Platform 3.0

More videos:

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

Altiscale Data Cloud videos

No Altiscale Data Cloud videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to HortonWorks Data Platform and Altiscale Data Cloud)

HortonWorks Data Platform

Altiscale Data Cloud

Data Dashboard
91 91%
Data Dashboard
9% 9
Data Warehousing
69 69%
Data Warehousing
31% 31
Big Data
80 80%
Big Data
20% 20
Development
100 100%
Development
0% 0

User comments

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Social recommendations and mentions

Based on our record, HortonWorks Data Platform seems to be more popular. It has been mentiond 1 time since March 2021. 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)

Altiscale Data Cloud mentions (0)

We have not tracked any mentions of Altiscale Data Cloud yet. Tracking of Altiscale Data Cloud recommendations started around Mar 2021.

What are some alternatives?

When comparing HortonWorks Data Platform and Altiscale Data Cloud, 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.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

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

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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