Best Big Data Analytics Tools | According to Your Business Needs!

Tableau

The first big data software to be discussed is Tableau. Where, Tableau has the function of connecting data from various sources.

Both from Microsoft Excel, the internet, or other servers that have data to be processed in big data.

The way Tableau works is that the output from the data programming process consists of various types.

The output in question can be in the form of graphs, charts, tables, and even dashboard displays.

The results are also real time (can be updated according to the applicable time).

You can also download the output from Tableau and even share the download link on social media as a form of data analysis solution.

Domo

The next big data tool that will be introduced to all of you is Domo. Where, Domo is a form of cloud-based database.

The function of this domo is to combine various data from various sources such as spreadsheets, cloud databases, and various other things.

Domo is one of the very special big data applications, where there is Business Intelligence that utilizes visual presentation collaboration and its commenting features.

Domo can also be accessed using your gadget so that it is easier to access anywhere and anytime.

Looker

Looker is the next big data tool that you must know as the most useful part of big data.

Where, Looker has the benefit of forming and changing existing data according to needs with the features available in it.

The features in question are extract, load, transform (ELT).

One of the features above has the benefit of delivering data directly to the software in the big data.

In Looker, you as a user can provide specific comments and questions according to the business language used.

Sisense

Sisense is another big data tool that has significant benefits in the Big Data application. Where, Sisense functions to facilitate and simplify the data analysis process.

Features, visualizations, and analysis capabilities become easier and simpler to access even for beginners.

Knime

The next big data tool that has various features and is very useful for big data users is Knime.

Knime or known as Kontansz Information Miner is a big data software that functions as a integrator of various components to analyze and extract information (known as the data mining and machine learning process).

The results provided by Knime are visual programming because they rely on the open source process in analyzing and extracting the available information. Knime is very suitable for use in in-depth analysis processes.

Skytree

Skytree is a big data tool that functions as a fast and accurate model builder. The tools owned by Skytree are Artificial Intelligence (AI), Model Interpretability, and GUI and programmatic access.

Xplenty

This big data tool is a cloud-based tool that has a simple data pipeline that produces visualization of data flow to various sources automatically.

Xplenty has various advantages, including high security, flexibility in sending data such as data warehouses or salesforce.

Rapidminer

The next big data tool that has benefits regarding data analysis and processing programs is rapidminer.

Rapidminer has various advantages, where the advantage is its original algorithm which is very diverse.

Data tracking and analysis that is updated according to real-time.

Supports data changes and cleaning, more targeted and comprehensive reporting, efficient and effective scalability for use, and high security features so that they are well guaranteed.

Hadoop

Hadoop is a big data application that is specifically designed to process and store high-size data.

Where, the data that can be processed on this tool can start with a size of terabytes to pentabytes. So, it is really effective and efficient for processing big data.

Map Reduce

The next tool owned by Big Data is Map Reduce. Where, this map reduce has a function to process large and multiple data quickly and effectively.

In addition, map reduce can also divide large data into small data until it is processed into various tools.

Grid Gain

Grid gain is generally the same as several other big data tools. Namely, performing the data analysis process in real time or according to the applicable time.

So, this tool is very appropriate for evaluating data in virtual machine memory.

HPCC

HPCC is considered as big data software that has the best strength in the process of data analysis and processing.

Where, HPCC has the advantage of offering high-performance results, processing parallel data well, and providing a good big data utility process in an application.

Disco

Disco is the next big data tool that allows recovery from big data itself.

Well, Disco is also used to process various existing data, namely Big Data itself, data discovery or data recovery, and scientific data to be analyzed in the program.

Lumify

Lumify is a big data tool that has the function of helping users or users to find connections and relationships between the analyzed data.

In addition, Lumify relies on the right combination, analysis, and visualization platform.

Pandas

Pandas is a big data tool that relies on Python as its supporting technology. The use of Pandas is used in the data analysis and manipulation process needed in data reporting in an organization.

Storm

The next big data tool to be discussed is storm. Storm big data is a real-time tool that utilizes various programming languages.

This makes the tool considered more user friendly or easy to use even for beginners.

Apache Hadoop

Apache Hadoop is a big data tool that is specifically programmed to handle various problems that arise.

The programming language used in Apache Hadoop is Java so it is more user friendly or easy to use.

MongoDB

MongoDB is the next big data tool of choice which has an easy way of use, in terms of ease of data format operation, real-time analysis, fast data integration process, flexible data usage, and various other advantages.

Pentaho

Pentaho big data software is often used as an analytical solution in accessing data and integrating data visualization predictively and analytically. This allows users to see the results of the analysis interactively through the available reports.

Cassandra

The last big data tool that is often used is Cassandra. Where, in this application it can be used to analyze and manage large data and is found on many servers.

In addition, its performance is faster in accessing data so it is more efficient to use.

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