Top Data Processing Tools and Softwares

Top data processing tools and softwares: Today’s world is flooded with data from different sources. So companies are trying to find the best tool to manage this data and make something profit out of it. Now there are many data processing tools and softwares out there, but most of them either don’t work or just complete trash. However, if you are looking for some of the top data processing tools and softwares, then you came to the right place! Once the initial actions of data collection or data mining followed by data processing by the required data processing methods, has been performed, this collected data needs to be put to use.

Today we are discussing some of the top data processing tools and softwares which are available in the market. We are going to explain them briefly. Each tool comes with its strengths and weaknesses. So without further due, let’s start.

Top data processing tools and softwares 2018

Down below are some great data processing softwares and tools. Please take an in-depth look and then decide which one better suits your needs. Some of these may also help you with data presentation & analysis depending on the features offered by a particular software.

Hadoop

Apache Hadoop tool is a big data framework which allows distribution of large data processing across various connected computers. It can scale up from a single server to thousands of different machines. It involves authentication improvements while using HTTPS proxy server for added security. Now Hadoop also supports POSIX style file system and extended attributes. This is beneficial for clients who need to deal with the different cluster of file types. Furthermore, Hadoop offers a great and powerful ecosystem which is well suited to show detailed analytics for developer needs. These features will surely bring flexibility in your data processing needs. Moreover, it also allows specification for Hadoop Compatible file system effort which allows for faster data processing. So if you’re looking for a faster data processing tool and software, then this might be the best pick for you.

HPCC

This is a big data software tool developed by Lexis Nexis Risk Solution. It is highly efficient in accomplishing big data tasks with less code input. HPCC offers high redundancy and availability 24×7 throughout the year. You will be happy to know that it can be used for both complexes as well as normal data processing. It’s shocking that the whole tool works on a single programming language to perform all these complex tasks. So it will be easy for developer testing and debugging purposes. Moreover, HPCC offers a user-friendly Graphical IDE which automatically optimizes code for you. Now you don’t have to worry about clumsy codes while debugging.

Related: What is Data Mapping | Importance, Software, Example & Use

Storm

The best thing about this data processing tool is its price. Its price is $0, as it is an open source big data computation system. With a freeware price tag, it offers you real-time distributive processing system. Storm also offers real-time computational abilities supporting cluster or machines. This tool can process one million 100 byte messages per second per node! It is really fast and time efficient! This is because it uses parallel calculations which can run through different arrays of machines. It is also one of the easiest tools when it comes to big data analysis.

Qubole

Qubole is an autonomous big data management platform. It is self-optimized, self-managed data processing tool which allows the analytical team to focus more on business outcomes. Qubole offers a single platform for every use case and is optimized for cloud and open-source engines. Furthermore, it provides Insights, Alerts and many recommendations to maximize performance, reliability, and cost. The best feature about Qubole is to avoid repetitive manual actions. This not only saves time but resources as well.

Cassandra

Apache Cassandra is a great database tool which provides effective management over large data clusters. It supports replicating across multiple data centres while providing lower latency for users. Cassandra replicates multiple nodes for fault tolerance. So it is most suitable for apps and services which can’t afford to lose sensitive data when a data centre is down. Moreover, it supports third-party contracts and services as well.

Related: Understanding Data Visualization | Importance, Techniques, Tools & Software

Statwing

Statwing is an easy to use data processing tool which also doubles as a statistical tool. It is built for big data manipulation and analysts. It comes with a modern user interface which is easy to use and operate. With Statwing you can explore any data within seconds! It also supports cleaning data, creating charts and exploring relationships between data bits. It also helps you develop infographics like histograms, heatmaps, scatter plots and bar charts which you can export in excel or Powerpoint slides. Also, it can even translate results in plain English; this is great if you need to explain results to someone who is unfamiliar with statistical analysis.

CouchDB

CouchDB is another great Data processing software which stores data in JSON documents. This makes it’s more comfortable to access them via web or query using javascript commands. It also offers distributive scaling along with fault-tolerant storage.  CouchDB works like any other database, but it operates on a single node based network. Moreover, it allows running a single logical database on numerous different servers. The best thing about CouchDB is its JSON data format. It will enable a user to translate data report across different languages.

Pentaho

Pentaho is a massive data processing tool which can extract, prepare or blend large data. It also offers excellent visualisation and analytical details which change the way you run your business. It provides data access and integration for large data visualisation. Pentaho can combine or switch data processing cluster execution to get maximum processing output. It allows you to check data with easy to access analytics details along with data visualisation, charts and reports.

Related: Information Processing CycleData processing cycle | With Stages, Diagram and Flowchart

Flink

Flink is another open source big data processing tool. It is capable of distributing high performance and accurate data. It provides accurate results excluding out-of-order data. Flink is a fault tolerant data processing tool, and it can recover from data failures as well. It is capable of running thousands of nodes on large-scale computer network. Flink also supports flexible windowing based time with event time semantics. Moreover, it supports a wide range of third-party system data connections.

Cloudera

Cloudera is one of the fastest, easiest and highly secure data analysis platform. It allows a user to get any data across within a scalable platform, no matter what the environment is. Moreover, it offers high-performance analytics, provision for multi-cloud systems can deploy and manage across AWS, Azure or Google cloud. You can easily spin up and terminate data clusters. The best part is that you have to pay for what you need and when you need it. It will definitely save you some bucks! Clouders also supports real-time insights for data monitoring and error detecting. And you can also use it to develop training data methods.

Related: Importance of data processing, Data Integration

So, guys, these are some of the top data processing tools and Softwares 2018. We hope you have a pretty good idea now of what these data tools are capable of. These tools will certainly help to boost your company’s overall profit. Thank you for reading and have a beautiful day.

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