Software Alternatives & Reviews

Qubole VS Apache Kudu

Compare Qubole VS Apache Kudu and see what are their differences

Qubole logo Qubole

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

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
  • Qubole Landing page
    Landing page //
    2023-06-22
  • Apache Kudu Landing page
    Landing page //
    2021-09-26

Qubole videos

Fast and Cost Effective Machine Learning Deployment with S3, Qubole, and Spark

More videos:

  • Review - Migrating Big Data to the Cloud: WANdisco, GigaOM and Qubole
  • Review - Democratizing Data with Qubole

Apache Kudu videos

Apache Kudu and Spark SQL for Fast Analytics on Fast Data (Mike Percy)

More videos:

  • Review - Apache Kudu (Incubating): New Hadoop Storage for Fast Analytics on Fast Data
  • Review - Apache Kudu: Fast Analytics on Fast Data | DataEngConf SF '16

Category Popularity

0-100% (relative to Qubole and Apache Kudu)
Data Dashboard
78 78%
22% 22
Technical Computing
62 62%
38% 38
Big Data
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Qubole and Apache Kudu, you can also consider the following products

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

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

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

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.