Top Data Analytic Tools of 2018

In order to provide a useful analysis of large sets of data, Big Data Analytics software is becoming increasingly used. This software aids in getting information such as customer preferences, current market trends and other useful information.

The commerce industry would not be as it is without this software. Here are the top data analytic tools that were widely used in 2018:

Microsoft HDInsight

This tool is a Spark and Hadoop service in the cloud that provides big data services in Standard and Premium categories. It makes it possible for organizations to run their big data workloads. This tool has the following features:

  • – Offers a high-productivity platform for scientists and developers
  • – It is a reliable analytics tool with an SLA that is an industry leader
  • – Offers enterprise-grade monitoring and security
  • – Protects data assets
  • – Extends on-premises security
  • – Integrates with a leading productivity application
  • – Deploys Hadoop in the cloud without the need to buy new hardware

Skytree

Skytree allows data scientists to build more accurate models a lot faster. It offers predictive machine models that are not only accurate but also easy to use. Skytree comes with the following features:

  • – Highly scalable algorithms
  • – Supports Artificial Intelligence data for scientists
  • – Allows data scientists to visualize the logic behind ML decisions and understand it
  • – Makes model interpretation easy
  • – Available via the easy-to-adopt GUI found in Java

Talend

Talend makes big data integration easier and automates it and comes with a graphical wizard that generates native code. Additionally, Talend big data integration masters data management and checks the quality of data. It comes with features such as:

  • – Ability to accelerate time value for big data projects
  • – Supports Big Data platform which simplifies the use of MaoReduce and Spark
  • – Natural language processing
  • – Streamlines all DevOps processes

Splice Machine

This big data tool has an architecture that is portable across public clouds such as Azure, AWS and Google. Features include:

  • – Scalability from a few thousand nodes
  • – Automatically evaluates every question to the distributed HBase regions
  • – Reduces risk
  • – Absorbs fast streaming data
  • – Develops, tests and deploys machine learning models

Apache Spark

It is a powerful tool that offers 80 high-level operators that aid in making the building of parallel apps easy. Many organizations use it to process big data. Features include:

  • – Ability to run an application in Hadoop cluster 100 hundred times faster in memory and 10 times faster on disk
  • – Offers very fast processing
  • – Provides built-in APIs in Python, Scala or Java

Other big data analytic tools of note include Plotly, Apache Samoa, Lumify, Elasticsearch, and R-Programming. These were the most sought-after data analytic tools by organizations in 2018.

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