Apache Kudu vs Google Cloud Storage

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Apache Kudu
Apache Kudu

26
41
+ 1
3
Google Cloud Storage
Google Cloud Storage

612
353
+ 1
59
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What is Apache Kudu?

A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data.

What is Google Cloud Storage?

Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.
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Why do developers choose Apache Kudu?
Why do developers choose Google Cloud Storage?

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    What are some alternatives to Apache Kudu and Google Cloud Storage?
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    HBase
    Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    Apache Impala
    Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
    Hadoop
    The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
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    How developers use Apache Kudu and Google Cloud Storage
    Avatar of itzMe
    itzMe uses Google Cloud StorageGoogle Cloud Storage

    Amazon / Google... Google / Amazon ... we decided to take the plunge and go for Google Cloud services as their services seem to be a bit more thought through and structured as they have not developed so organically.

    Avatar of Matt Welke
    Matt Welke uses Google Cloud StorageGoogle Cloud Storage

    When creating proofs of concept or small personal projects that are hosted primarily in GCP, this is the object storage service I usually pair them with.

    Avatar of Flutter Health Inc.
    Flutter Health Inc. uses Google Cloud StorageGoogle Cloud Storage

    We use Google Cloud Storage to store the images and other files that are added (uploaded) or generated in the Flutter application.

    Avatar of CommentBox.io
    CommentBox.io uses Google Cloud StorageGoogle Cloud Storage

    All comments, votes, and other actions live here as a highly-scalable, reliable, multi-region storage solution.

    Avatar of Cirrus Labs
    Cirrus Labs uses Google Cloud StorageGoogle Cloud Storage

    Cirrus CI can store build artifacts in Google Cloud Storage

    How much does Apache Kudu cost?
    How much does Google Cloud Storage cost?
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