Top 15 Big Data Tools and Software 2021

We are gradually heading towards a world run by IT. In IT, data is the crux of everything. Therefore, the importance of data mining is growing by manifolds with each passing day. 

From the era of the humble floppy disks and dealing in megabytes, we have transcended to supercomputers dealing with terabytes of data. 

However, the unprocessed data is not of much use. We have to analyse the data and process it into something relevant to make a decision. To that end, here are the best softwares and tools for mining and analysing data.

• Xplenty

Xplenty is a cloud-based platform that helps in preparing, processing and integrating data for effective analysis. It compiles all the data sources under one umbrella. In addition, it’s equipped with a graphic interface that is intuitive enough to implement a replication solution like ELT or ETL.

It helps in extracting the maximum out of data without requiring any help from extra hardware. With a 24/7 support system through calls, chats, emails and online meets, Xplenty is a one-stop solution for marketers, sales personnel, to developers. In addition, Xplenty is touted to be a comprehensive tool necessary for building data pipelines with practically no-code or minimal code capabilities.

• Adverity

Its data integration happens from over 600 sources. With such a vast span of sources, Adverity effortlessly tracks market performances in real time. Adverity analyses every cross-channel performance with its ROI Advisor. The best part is all these happen in a single view thanks to the AI-powered GUI and predictive analysis technique. This software also boasts of an excellent customer support system. The customers love its high flexibility and security. 

• Cloudera

Cloudera or as formally known, Cloudera Distribution for Hadoop, is an open-source, free platform tool. It circumscribes many other softwares like Apache Spark, Impala, etc. Cloudera targets business-class deployments of the technology to collect, administer, process, manage and distribute unlimited data. Some of the pros which make Cloudera stand out are

• Uncomplicated implementation
• Extensive Distribution
• High security 
• Flexible governance and administration

Although Cloudera is free, getting access to their Hadoop Cluster comes with a hefty price tag. The charts on its CM service looks like a complicated feature. But still, Cloudera is one of the rather popular data analysing tools to date.

• Dataddo

Dataddo is a very flexible tool, which enables you to pick your attributes. It acts as a major time saver as the basic workflows remain unchanged. It is very popular among tech newbies for its friendly interface and quick set-ups. 

• Apache Cassandra 

Apache Cassandra is a widely used data analytics tool that comes free of cost. Several MNCs like GE, Facebook, Accenture uses Apache Cassandra for its number of benefits –

• Storage is log-structured.
• Uses a basic ring architecture.
• Linear scalability
• Speedy data handling
• Automatic replication process

Though it lacks a row-level lock feature and faces some niggles while troubleshooting, this is still a solid tool for data analysis.

• Datawrapper 

A user friendly data analytics tool that runs on desktops, tablets and even mobiles. Since it is accessible on mobiles, people from the journalism sector are the main customers of Datawrapper. This tool is as good as it gets for customising and bringing every chart to one place without any coding.

• Knime

Konstanz Information Miner or KNIME is a simple ETL operated open-source tool. It gets used in an array of jobs like

• Data Mining
• Data Analysis
• Researching
• CRM
• Business intelligence 
• Text Mining

A versatile tool, Kinme runs smoothly on Windows, Linux and even OS X operating systems. Although it gets a bit heavy on RAM usage, many big companies like Johnson & Johnson, Comcast, etc., are its clients.

• MongoDB

A paid software whose price is available as per job requirement, MongoDB is an open-source software used to support platforms like Google, Facebook, eBay, etc. Its main features are –

• Adhoc queries
• Sharding
• Replication
• Indexing
• File Storage
• Load Balancing
• MMS

This low cost software is already making ripples because of its reliability and ease of learning.

• HPCC Systems

High-Performance Computing Cluster is a supercomputer for doing data analytics. HPCC is written using C++ and Enterprise control language. This open-sourced tool is extensively used for data parallelism, system parallelism and pipeline parallelism. It’s also relatively fast and cost-effective.

• Lumify

Another free of cost, cloud based secure open-source software for data integrating, data analysis and visualisation. They allow it to work on a series of workspaces in real time.

• Storm

Storm is a blazingly fast, fault-tolerant computational framework from the house of tech giants, Apache. This Java and Clojure written tool operates on cross platforms, distributing streams of data. 

• Talend

This is an open-source and free of cost tool providing web and phone support using NoSQL and Hadoop connectors. It can handle more than one data source and provide customised solutions in real time.

• Rapidminer

This open-source Java written cross-platform tool is excellent data science, predictive analysis and machine learning software. The option of no code GUI and the ability to rack 10,000 data rows makes them popular in many companies like Samsung, Hitachi, BMW etc. 

• Qubole

Qubole operates by tracking your usage and learning and optimising through an independent, big data platform. This software helps in eliminating vendors and concentrates on business results instead of platform management. 

• Tableau

One of the most popular softwares globally, Tableau provides business intelligence solutions to some of the biggest organisations. Tableau can handle enormous chunks of data in a single time. Its user-friendliness makes it popular among non-technical people as well. This is one of the best tools for data visualisation, and its accessibility to mobile platforms makes it super popular.

Parting thoughts,

We know that there are ample options in the market when it comes to Big Data tools. Understand the requirement of the project before zeroing on a specific tool. Every software has its own USP and advantages, and you must be the best judge to understand what your project needs. Explore the free trial version before splurging on the paid versions and going through the reviews.

Author Bio: Mike Keller has a doctorate in IT and is an eminent professor from the UK. He is associated with MyAssignmenthelp.com as an essay Help writer. Apart from Assignment writing, he is an ardent follower of football.