Best Big Data Processing and Distribution Software

Big data processing and distribution systems offer a way to collect, distribute, store, and manage massive, unstructured data sets in real time. These solutions provide a simple way to process and distribute data amongst parallel computing clusters in an organized fashion. Built for scale, these products are created to run on hundreds or thousands of machines simultaneously, each providing local computation and storage capabilities. Big data processing and distribution systems provide a level of simplicity to the common business problem of data collection at a massive scale and are most often used by companies that need to organize an exorbitant amount of data. Many of these products offer a distribution that runs on top of the open-source big data clustering tool Hadoop.

Companies commonly have a dedicated administrator for managing big data clusters. The role requires in-depth knowledge of database administration, data extraction, and writing host system scripting languages. Administrator responsibilities often include implementation of data storage, performance upkeep, maintenance, security, and pulling the data sets. Businesses often use big data analytics tools to then prepare, manipulate, and model the data collected by these systems.

To qualify for inclusion in the Big Data Processing and Distribution category, a product must:

  • Collect and process big data sets in real-time
  • Distribute data across parallel computing clusters
  • Organize the data in such a manner that it can be managed by system administrators and pulled for analysis
  • Allow businesses to scale machines to the number necessary to store its data

Big Data Processing and Distribution Software Grid® Overview

The best Big Data Processing and Distribution Software products are determined by customer satisfaction (based on user reviews) and scale (based on market share, vendor size, and social impact) and placed into four categories on the Grid®:
  • Products in the Leader quadrant are rated highly by G2 Crowd users and have substantial Market Presence scores. Leaders include: Hadoop HDFS
  • High Performers are highly rated by their users, but have not yet achieved the market share and scale of the Leaders.
  • Contenders have significant Market Presence and resources, but have received below average user Satisfaction ratings or have not yet received a sufficient number of reviews to validate the solution. Contenders include: Cloudera
  • Niche solutions do not have the Market Presence of the Leaders. They may have been rated positively on customer Satisfaction, but have not yet received enough reviews to validate them. Niche products include: Hortonworks Data Platform
G2 Crowd Grid® for Big Data Processing and Distribution
Leaders
High Performers
Contenders
Niche
Hadoop hdfs
Cloudera
1460489894
Market Presence
Satisfaction
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    Hadoop HDFS
    Hadoop HDFS

    We have developed module to push .eml files to HDFS and store it in sequential file. The retrieval of data is much faster as compared to traditio...

    Big Data Processing and Distribution reviews by real, verified users. Find unbiased ratings on user satisfaction, features, and price based on the most reviews available anywhere.

    Cloudera
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    Databricks
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    Amazon EMR
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    Altiscale Data Cloud
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    Apache Ambari
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    Apache Apex
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    Apache AsterixDB
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    Apache Bahir
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    Apache Beam
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    Apache Chukwa
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    Apache Falcon
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    Apache Fluo
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    Azure Data Lake Store
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    Azure HDInsight
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    Azure Time Series Insights
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    Kate from G2 Crowd

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