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BitRefiney VS Apache Kudu

Compare BitRefiney VS Apache Kudu and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

BitRefiney logo BitRefiney

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

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
  • BitRefiney Landing page
    Landing page //
    2023-09-18
  • Apache Kudu Landing page
    Landing page //
    2021-09-26

BitRefiney videos

No BitRefiney videos yet. You could help us improve this page by suggesting one.

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Apache Kudu videos

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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 BitRefiney and Apache Kudu)

BitRefiney

Apache Kudu

Data Management
100 100%
Data Management
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Big Data
100 100%
Big Data
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100

User comments

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What are some alternatives?

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

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

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.

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.

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