Big Data

Top Big Data Analytics Tools – To measure the Performance

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At present, the market is filled with a wide assortment of big data tools. They offer better management of time in the data analytics tasks.

They are cost-effective and involve a huge cut off from the pocket. Here is a list of few of the leading big data tools, available in the market:


It is recognized to be an open-source and free big data computation system. It stands second to none in conferring fault-tolerant and distributed real-time processing system.

In addition to this, it is equipped with computational capabilities in real-time. It makes use of parallel calculations which run across different machines. It is known to restart automatically if the node dies. Thus, the worker is sure to be restarted on the other mode. The tool ensures that every data unit will get processed once.


HPCC is recognized to be a leading big data tool which is known to deliver on the single architecture, a single platform as well as a single programming language to process the data. Thus, it is capable of completing different tasks, related to big data with reduced code.

It also provides high availability and redundancy. It is beneficial for the processing of complex data on the Thor Cluster. The graphical IDE is useful for debugging, testing and development. It also plays an indispensable role in optimizing the code for achieving parallel processing. IN addition to this, it offers enhanced performance and scalability.

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It is recognized to be a big data framework. It offers the distributed processing of huge volume of data across computer clusters. It is useful in scaling from one server to a wide array of machines.

It provides faster processing of data. It includes flexibility in the processing of data. It bestows a robust ecosystem which is suited for accomplishing different analytical requirements of the developer. It offers authentic improvements at the time of using the HTTP proxy server.


It is recognized to be the autonomous platform for the management of big data. It is regarded as the self-optimizing and self-management tool which helps the data team for focusing on different outcomes of the business. It has different features of comprehensive security, compliance, and governance.

It is equipped with a single platform for each use case. It is known to enact different policies automatically so that you do not need to perform manual actions repetitively. It offers actionable insights, alerts, and recommendations for the optimization of performance, reliability, and costs.


It is regarded as the easy to use statistical tool which was developed for and by the big data solutions. The modern interface of this tool selects the statistical tests automatically.

This tool plays a vital role in exploring the data in no time. This tool is useful in cleaning the data, developing charts quickly and exploration of relationships. You can also make the best use of this tool for the creation of heatmaps, scatterplots, histograms, bar charts with export to PowerPoint or Excel.


Pentaho offers big data tools for the blending, preparation, and extraction of data. In addition to this, it provides analytics and visualizations which may bring a change in the way in which a business operates. Thus, big data tools are useful to turn big data into insights.

It offers data access as well as integration for efficient visualization of data. It is also known to provide immense power to the end-users for using big data at the source point and streaming them for the right analytics. It helps in checking the data with the hassle-free access to analytics, which is inclusive of visualization, charts, and reporting. It also bestows support to the wide spectrum of sources of big data by providing different unique capabilities.


CouchDB is another popular big data tool which is stored in JSON documents. It is possible to get access to query or web with the aid of javascript.

It provides distributed scaling along with fault-tolerant storage. It offers access to the data as well. It helps to run a single logical database server on different servers. It uses the ubiquitous HTTP protocol along with JSON data format. It offers hassle-free database replication across different server instances. Furthermore, it is equipped with the easy interface for the updates, insertion, deletion, and retrieval of documents.


It is regarded as an open-source stream processing tool. It bestows high performance. It is distributed, available always. It stands second to none in offering results which are accurate, late-arriving or out of order data.

It is fault-tolerant, stateful, and is capable of recovering from different failures. Besides this, it is capable of performing on a wide array of nodes at a large scale. It is an effective big data tools which bestow support to stream processing as well as windowing along with event time semantics. It bestows support to the flexible windowing, based on count, time and sessions to the data-driven windows. It also offers the prerequisite support to the wide array of connectors to the third party systems for the sinks and data sources.


It is considered to be a highly secure, easy and fast big data platform. Thus, individuals can fetch data across environment within the scalable and single platform. It provides provisions for the multi-cloud.

It is useful in the management and deployment of Cloudera enterprise across Microsoft Azure, AWS, and Google Cloud Platform. It is also known to conduct an accurate model serving and scoring. Besides this, it can offer real-time insights for detection and monitoring.

Bottom Line

The above mentioned big data tools play a vital role to find the latest trends in the market, the preferences of the customers, and relevant information.

You can also make the best use of these tools for measuring the performance of the business. A wide array of businesses is making the best use of these tools, to determine the performance of the business.