Data Analysis Tools Research

Introduction to Data Analysis Tools For Research

Revolutionary and game-changing data analysis tools examples. These two terms aptly describe how data analytics is changing the world of companies and brands around the globe. Every business today deals with the unlimited amount of data they regularly need to make sense of. This data is useless if companies cannot gain essential insights from them. In addition, as different types of companies have different types of data analysis tools, the data analytic tools companies use to infer data is also essential.

Today, data analysis is no longer limited to big companies and brands; even the smallest companies need to focus on effectively utilizing data. Nonutilization of data insights can harm the company’s growth story. That is why data analytics manufacturers are now feeling the pressure of manufacturing data analytic tools and products to help companies achieve their growth and development goals. This increasing need for enhanced and improved data analytics has inspired data manufacturers to create data analytic tools with sophisticated architecture systems with better memory and processing power.

Companies and manufacturers are warming up to open-source licensing models, which, though not new, are gaining immense popularity and acceptance. A prime example is Apache Hadoop, an open-source data platform processing platform that has been around for over nine years. Yahoo and Facebook’s platform adoption spurred a big data revolution on the internet.

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In 2008, Cloudera introduced commercial support for enterprises, a significant step in the history of data analysis tools for research. Later companies like MapR and Hortonworks followed suit in 2009 and 2011, respectively. Further, IBM, EMC spinout Pivotal, and others introduced their own Hadoop distribution systems, advancing data analytics to the next level. Companies like Teradata also offer complementary software and first-line support for platforms across Hortonworks. Today, focused data analysis tools for research vendors like HP Vertica and Teradata are known for the manufacture of high RAM-to-disk ratios along with specific data analytic tools that can help companies take themselves to the next stage of growth through data insights and analysis.

Advances in bandwidth, memory, and processing power have effectively helped improve real-time processing and analysis capabilities. But this type of analysis must still be adopted by major companies and brands. Many vendors have started investing in advanced data analysis tools for research, but their adoption is still limited to fields like national intelligence, trading, and security. However, with an almost daily breakthrough in ad delivery, content personalization, and logistics, data analytics is set to gain even more importance in the coming years. This article deals with some of the most common and popular data analytic tools adopted by many companies across sectors.

Data Analysis Tools For Research (Best Data Analytic Tools)

Following are some of the best analytic tools for research.

1. 1010Data

By providing the cloud-based software platform to companies, 1010data is in New York. Established in 2000, this company has many prominent clients, including NYSE Euronext, besides several popular brands in banking, retail, gaming, healthcare, government, and communication sectors Data analysis tools for research.

By supporting a columnar database, the analytic tools provided by 1010 data enable companies immense scalability and massive data handling skills and data analysis tools examples. With its propriety design and query language that supports a subset of SQL functions, the company’s columnar database also helps companies handle social network and machine data effectively. Besides the database, Data1010 also offers data integration, reporting, and data visualization tools. It also provides advanced analytic functions like statistical analysis, optimization, and machine learning functions.

The private cloud approach of this company also assists brands in managing and scaling infrastructure effectively. 1010 Data offers secure cloud services with customizable analytics tools to meet client and customer needs.

2. Actian

Previously known as Ingres Corp, the company changed its name to Action in 2011. By providing numerous analytic tools and applications in data analytics, the company has more than 10,000 customers across various sectors. Because of its expansive reach and skills, Actian has expanded with Vectorwise, a fast analytical database management system. Vectorwise is now Actian Vector. In addition, Actian has also acquired Versant, who was responsible for the eponymous object database. Also developed by Actian is Pervasive manufactured DataRush analytics on-Hadoop and data integration software, currently called Actian Data Flow. By acquiring ParAccel in 2013, Action has made its presence felt even more in data analytics.

3. Amazon Web Services

By providing analytic tools to several clients like Oracle, Microsoft, and SAP, among many others, Amazon is one of the well-known analytical tool providers in the industry best data analytic tools. The company launched its own Hadoop-based Elastic MapReduce in 2009, and it has tried to build its own Elastic Compute cloud and simple storage service infrastructure in the later years. In 2013, Amazon Web also introduced the Redshift Data Warehousing service, which integrates business intelligence and data integration.

Amazon’s popularity stems from its cloud platform, which enables companies to run data-related applications seamlessly on the cloud. Also, Cloudera, a leading Hadoop distributor, has partnered with Amazon to help companies to choose hybrid strategies. At the same time move their intensive and heavy data workloads to the cloud and keep sensitive and critical information within the company’s premises. By adding new features to existing data analytic tools and creating new software, Amazon web services continue to expand and grow the field of data analytics progressively.

4. Cloudera

Another leading company, Cloudera, has continuously pushed the envelope regarding data analytics. Extending the data processing framework and turning it into a comprehensive enterprise data hub helps companies by acting as a central point of management for all types of data. The company ensures enterprise-grade performance, reliability, and data access control by offering proprietary software like Cloudera Manager and Cloudera Navigator. Cloudera is saying that its platform is becoming extremely popular, helping companies make sense of data that is generally limitless.

5. Vertica

Michael Stonebraker, a database researcher, established Vertica, an analytic database management software company, in 2005. Hewlett Packard acquired the company in 2011, which expanded the portfolio to include software tools for enterprise companies and the public sector. In other words, Vertica is a columnar analytical database management system that helps companies to tackle massive data simply and constructively. Rather than replacing the enterprise data warehouse, Vertica works with other software without any replacement. FlexZone is one of the latest products introduced by the company and helps companies to explore large sets of data sets, even before defining any database scheme or related reports.

6. Hortonworks

Formed in June 2011, Hortonworks employs contributors to the open-source software project called Apache Hadoop. Funded by Yahoo and Benchmark Capital, some of the products manufactured by Hortonworks include Hortonworks Data Platform, which provides Apache Hadoop and the best data analytic tools. In October 2011, the company announced it would collaborate with Microsoft to distribute Windows Server and Microsoft Azure. Further, Hortonworks was named a technology leader and ecosystem builder for the entire Hadoop industry by Forrester Research. Also, Horton Data Platform is free of cost across all open-source software.

7. IBM

One of the broadest data management portfolios any company can offer, IBM offers a range of data integration, data cleansing, and data quality software options for all clients and customers. With numerous business intelligence and analytical offering like Cognos, SPSS, and IBM-developed analytic tools for Hadoop, IBM also has a comprehensive SaaS and cloud infrastructure that is second to none. Though IBM is not a product-oriented technology provider, IBM is exceptional in the field of deep integration and consulting expertise. IBM offers industry-standard solutions to effectively address diverse data needs.

8. InfiniDB

Formerly known as Calpont, InfiniDB is a database management system. Based in Texas, this company is known for its comprehensive range of big data analytics, business intelligence, data warehousing, and other related applications. InfiniDB has re-engineered the database management system, which one can deploy on Linux, Windows, or the cloud through Amazon Web Services. In addition, the company has an open-source InfiniDB under the GNU General Public License. Comparable to the HP Vertica and Actian ParAccel, InfiniDB has as many features as the other two analytic tools.

9. Infobright

A focused analytical database provider, Infobright provides a column store database management system for fast data analysis of up to 50 terabytes per server. The database manufactured by this company is designed for symmetric multiprocessor servers and not for parallel processing. Often used in collaboration with Hadoop or a large-scale enterprise, Infobright supports long-term, large-scale storage. Columnar data analysis ensures quick processing of every query and rapid generation of insights. Infobright can help companies infer insights speedily and rapidly for fast data processing.

10. Kognitio

A parallel processing database management system, Kognitio seamlessly integrates with business intelligence and analytic tools data analysis tools examples. Kognitio bridges the usability and large-volume data stores by complementing the existing technology stack. Kognitio’s analytic tools enable swift and efficient data analysis, providing companies with valuable insights. Recently, Kognitio has greatly emphasized integration with Hortonworks Data Platform and offers cloud-based services to clients.

11. HighCharts JS

A javascript library from Highsoft Solutions, these analytic tools allow professionals to create interactive charts from the web. These charts can help brands and organizations infer important insights from complex and large data. By clicking on data analysis tools for research, HighChart JS provides companies access to charts, including primary line, bar, column, and area charts. HighChart JS can be displayed on mobile devices and desktops with minimal customization, making it easily accessible across all sectors.

12. Panda Project

Less about analyzing data, the Panda project helps companies decipher and gain insights from a vast amount of data analysis tools for research in almost all types of companies. A data tool explicitly designed for newsrooms, any organization can use it that wants to collect information systematically and adequately.

13. KNIME

A business analytical tool, KNIME helps companies manipulate, analyze and visualize data straightforwardly and visually best data analytic tools. Users can drag-and-drop nodes on a canvas and connect them to analyze data without writing code. It allows brands to connect two sets of data and therefore infer insights into the data. Very simple and elegant to use, this tool is perfect for office use and analysis.

14. Import.io

Today’s internet is a potent source of information and can provide companies with unlimited data sources. Even if all companies depend on customized information, the internet can be a great source of learning for them. It is here that import.io can be a great data analytic tool for data analysis as brands can use it to save the net content and effectively.

Data analytics are gaining a lot of prominence in today’s economy’s best data analytic tools. When conducted properly, they can help companies understand customer needs and predict the future with a maximum success ratio. In addition, with so many data analytic tools and applications present in the market, having a basic understanding of data analytical tools, on the one hand, and a knowledge of company goals and objectives, on the other hand, can help a brand to choose the proper data analysis tools for research.

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This has been a guide to Data Analysis Tools Research. Here we have discussed the basic concept with some of the best analytic tools for data analysis research. You may look at the following articles to learn more –

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