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GeoSpock VS Apache Kudu

Compare GeoSpock VS Apache Kudu and see what are their differences

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

GeoSpock logo GeoSpock

GeoSpock is the platform for data lake management, providing a unified view of the data assets within an organization and making it easily accessible.

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.
  • GeoSpock Landing page
    Landing page //
    2022-04-24
  • Apache Kudu Landing page
    Landing page //
    2021-09-26

GeoSpock videos

+ Add

Introducing GeoSpock DB

Apache Kudu videos

+ Add

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 GeoSpock and Apache Kudu)

GeoSpock

Apache Kudu

Development
100 100%
Development
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Dashboard
66 66%
Data Dashboard
34% 34
Office & Productivity
61 61%
Office & Productivity
39% 39

User comments

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What are some alternatives?

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

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

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

Apache Zeppelin - A web-based notebook that enables interactive data analytics.

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.

Delta Lake - Application and Data, Data Stores, and Big Data Tools

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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