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Apache AsterixDB VS Hortonworks

Compare Apache AsterixDB VS Hortonworks and see what are their differences

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Apache AsterixDB logo Apache AsterixDB

Apache AsterixDB is a scalable, open source Big Data Management System.

Hortonworks logo Hortonworks

Hadoop-Related
  • Apache AsterixDB Landing page
    Landing page //
    2018-10-02
  • Hortonworks Landing page
    Landing page //
    2023-07-11

Apache AsterixDB features and specs

No features have been listed yet.

Hortonworks features and specs

  • Open Source Model
    Hortonworks is known for its 100% open-source model, which allows free access to its source code. This encourages innovation, collaboration, and a wide adoption within the community.
  • Integration with Apache Hadoop
    Hortonworks provides a robust distribution of Apache Hadoop, offering various tools and services that simplify and enhance data management and analytics capabilities using the Hadoop ecosystem.
  • Enterprise-Grade Support
    The company provides enterprise-grade support and services, helping businesses implement and manage big data solutions efficiently while ensuring stability and security.
  • Wide Ecosystem Support
    Hortonworks offers extensive support for a vast array of third-party applications and tools, allowing for a versatile and interconnected big data ecosystem.

Possible disadvantages of Hortonworks

  • Complexity of Deployment
    The deployment and management of Hortonworks can be complex, requiring specialized skills and knowledge, which might be challenging for organizations lacking in-house expertise.
  • Resource Intensive
    Running Hortonworks on-premises can demand significant infrastructure resources, which may result in high operational costs and complexity.
  • Market Competition
    Hortonworks faced intense competition from other big data solution providers, including Cloudera and MapR, which led to its eventual merger with Cloudera in 2019.
  • Limited Cloud Offering
    Compared to some competitors, Hortonworks' cloud offerings were perceived as less mature, which might have driven enterprises to consider other cloud-native big data services.

Apache AsterixDB videos

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Hortonworks videos

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Hadoop Tutorial: Introduction to Hortonworks Sandbox

More videos:

  • Review - A New Era - Hortonworks and Cloudera
  • Review - Hortonworks SmartSense data capture and recommendations.

Category Popularity

0-100% (relative to Apache AsterixDB and Hortonworks)

Apache AsterixDB

Hortonworks

Big Data
48 48%
Big Data
52% 52
Data Management
100 100%
Data Management
0% 0
Big Data Infrastructure
41 41%
Big Data Infrastructure
59% 59
Databases
0 0%
Databases
100% 100

User comments

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What are some alternatives?

When comparing Apache AsterixDB and Hortonworks, 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.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

RJ Metrics - RJMetrics provides hosted business intelligence & data analysis software to companies that operate online.

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

IBM Analytics Engine - Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.

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

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