Top 15 Big Data Analytics Tools

Big Data analytic tools have outgrown their conventional purpose and are satisfying a major portion of web development including spheres like Data mining, data analytics, and data visualization. The role of big data analytics in Web Development has become so prominent that its contribution helped all these spheres in using different tools according to their needs.

Let’s take a look at some of these tools:

• Apache Hadoop:

It’s a cumulative package of open-source software utilities that works using a library framework to proceed with the data processing. It works as a distributed data processing environment. Apache Hadoop is written in Java. Speaking of its popularity in the corporate sector, the list of companies using Apache Hadoop has big players like:

1. Horton works
2. Cloudera
3. MAPR
4. Microsoft
5. IBM
6. Intel

• Mongo DB:

Mongo DB is a cross-platform, no SQL document database for reviewing the data using documents like JSON. It was developed in 2009 and is written in the languages C++, Go, Java, and Python. Mongo DB enjoys its fair share o fame among big conglomerates as the simplified database it is. Some of the companies that use Mongo DB are:

1. Microsoft Axel
2. Microsoft SQL Server
3. My SQL
4. Mongo DB (the company itself)

• Rainstar:

It is a database management system that uses detection duplication techniques for organizing to process a huge amount of data for future reference. The snappy framework was the core benefit of its development. This software is written in Java and some of the companies that find Rainstar’s framework a befitting one are:

1. Barclays
2. Credit Suisse

Splunk Hunk: Splunk is a Software Company that developed Hunk as a tool that allows its users to access all the data in Hadoop clusters using vertical indices. For allowing its users to access and process the data, Hunk provides them with the use of Splunk’s search language. This language helps the users to report and access a large amount of data from Hadoop and SQL software.

BIG DATA TOOLS USED IN DATA MINING:

Some of the Best Big Data Analytic Tools used in Data Mining are:

• Presto:

Presto is an open-source distributed SQL query system that is designed to run analytical queries regarding databases from various applications like Hadoop, AWS, Cassandra, and Kafka. The databases processed can range from gigabytes to petabytes. With its analytical approach towards all the queries, it makes sure that the data analytics is done on its basis work accurately throughout an organization. Written in Java, this tool is used by companies like:

1. Facebook
2. Repro
3. Checkr
4. Netflix
5. Air BnB

• Rapid miner:

It’s a tool that has a stern graphical interface that allows its end-users to create and deliver maintained analytical files. This helps in providing snappy workflows in development. It provides the users with scripting levels to support languages like Java and Python. This application is written in Java and has a client pallet consisting of companies like:

1. Vivint Smarthome
2. Boston Consultancy Group
3. Infocus
4. Slalom
5. Dominos

• Elasticsearch:

Elasticsearch is a high-performing search engine that is also capable of running a webpage with a proper HTTP search language. As an underlying Technology, it powers the applications that use complex search techniques and requirements to run. Using Elasticsearch is a smart proposition if yours is a company that uses such applications. Some of the companies, who use this software, are:

1. Netflix
2. Accenture
3. Stack Overflow
4. Medium
5. LinkedIn

BIG DATA TOOLS IN DATA ANALYTICS

• Apache Kafka:

It’s a distributed streaming system that has all the capabilities of an ideal streaming system, i.e., publish, subscribe and consume. This software is written in Java and there are many players in the market who make use of Kafka on a regular basis. Some of these companies are:

1. Netflix
2. Spotify
3. Yahoo

• Splunk:

Splunk is a software developed by a company of the same name. It’s the same company that developed the tool, Hunk. Splunk is used for searching, capturing, and indexing the big machine-generated big data analytics and representing them in web-friendly graphs, pies, and dashboards.  It’s used for app development, web analytics, security, and compliance. Some of the big firms using this software are:

1. QRadar
2. QLabs
3. Spunk
4. Trustwave

• KNIME:

It is software that works on a selective approach toward the execution of mostly all analytical steps and further inspects the results and models using creative widgets. These results and models allow the user to visually create data flows. There are companies like

1. Harnham
2. Tyler Technologies

These companies use KNIME for data analysis and visual representation of all their data.

• Apache Spark: It is a platform that has in-memory computing capabilities to deliver speed and generalize the computing software model so as to support a wide spectrum of applications written in languages, Java, Scala, and Python. It’s an online distribution system that provides access to data through the cluster and processes them parallelly.

Companies using Apache Spark are:

1. Amazon
2. Hortonworks
3. Oracle
4. Verizon Wireless
5. Cisco

• R Programming Language:

Is a software environment that is designed for statistical analysis of graphs of data. It consists of machine learning algorithms, line regression, and statistical inference to create statistical software in data analytics. Companies like Barclays, Bank of America, and American Express use R programming language for their data analytics needs.

• Blockchain:

Blockchain is software originally developed with the intention to timestamp digital documents so that it’s not possible to backdate or tamper with them. It’s used for storing a large amount of data as it has a secure framework.

• Tableau:

Tableau lets its user distinguish the complex digital patterns of the data and visually represents the data for the users. It’s written in Java, C++, Python, and C. Some of the companies that use Tableau are:

1. Oracle Hyperion
2. Cognos IT services
3. Alik Q

• Plotly:

Helps create the graphs in a more efficient way. Along with this it also provides scientific graphic libraries for Python, R, MATLAB, Julia, Ardenio, and REST. Written in JavaScript it serves companies like:

1. Paladins
2. Bit Bank.