Software Alternatives & Reviews

BlueData VS Apache Kudu

Compare BlueData VS Apache Kudu and see what are their differences

BlueData logo BlueData

BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
  • BlueData Landing page
    Landing page //
    2023-06-13
  • Apache Kudu Landing page
    Landing page //
    2021-09-26

BlueData videos

HPE BlueData Software Demo | AI, Machine Learning and Data Science

More videos:

  • Review - Kumar Sreekanti, BlueData - #BigDataSV 2016 - #theCUBE

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 BlueData and Apache Kudu)
Big Data
100 100%
0% 0
Technical Computing
0 0%
100% 100
Data Dashboard
40 40%
60% 60
Office & Productivity
0 0%
100% 100

User comments

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What are some alternatives?

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

BitRefiney - Bit Refinery is an enterprise VMware and Big Data hosting provider.

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

Impala - Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.

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.

Fujitsu Symfoware Analytics Server - Fujitsu Symfoware Analytics Server is a high-performance database software that is designed for use with data warehouses.

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.