(Showing 1 - 10 of 25 products)
Brand: IBM
IBM SPSS Statistics is a tool that makes statistical analysis easier. It can help you perform detailed research & analysis with a fast and powerful so...
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IBM SPSS Statistics
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Brand: IBM
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IBM BigQuality is a data quality solution that provides a rich set of data profiling, cleansing and monitoring capabilities that execute on the data nodes...
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IBM BigQuality
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Brand: MathWorks
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MATLAB for Artificial Intelligence. Design AI models and AI-driven systems. Design AI models and AI-driven systems. Whether you’re analyzing data, de...
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Matlab
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Brand: Microsoft
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Azure Databricks is an all-in-one Big Data Tools designed to serve Startups, SMBs, SMEs and Agencies. This Web-Based Big Data Tools has a simple interface...
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Azure Databricks
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Brand: Google
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Looker is an all-in-one Big Data Tools designed to serve Startups, SMBs, SMEs and Agencies. This Web-Based Big Data Tools has a simple interface and is eas...
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Looker
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Brand: MongoDB
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Mongodb is an open-source database management system for modern apps that helps companies of all sizes. Proven and automated practices offered by the soft...
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Mongodb
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Brand: RAPIDMINER
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RapidMiner's is the best Predictive Analytics Software and it is unified data science platform accelerates the building of complete analytical workflow...
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Rapidminer
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Brand: Sisense
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Sisense is a complete Reporting Tools designed to serve Startups, SMBs, SMEs and Agencies. This Reporting Tools for has a simple interface and is easy to u...
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Sisense
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Brand: Exasol
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Exasol is an all-in-one Big Data Tools designed to serve Startups, SMBs, SMEs and Agencies. This Web-Based, Perpetual Big Data Tools has a simple interface...
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Exasol
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Last Updated on : 03 Oct, 2023
Big Data Tools Comparison
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Hadoop is a java based open source software that is used for processing structured, semi-structured or unstructured data.
Yes, Oracle offers numerous big data tools to process and analyze large datasets.
Big data tools help in managing and analyzing large volumes of data that can't be processed with traditional tools.
Some of the most noteworthy big data tools are Apache Spark, RapidMiner, Apache Flink and Sisense.
Here are some simple-to-use big data tools: Apache Storm, Apache Hadoop, Tableau and Cloudera.
Found our list of Big Data Tools helpful? We’re here to help you make the right choice and automate your business processes. Let’s discover some of the essential factors that you must consider to make a smarter decision!
Big data is a large volume of structured, semi-structured & unstructured data stored by organizations for business information, predictive modeling, machine learning software, and many other applications. Big data tools are used for extracting information from multiple complex data sets and types, and then these tools process this information into meaningful insights about business outcomes, inefficiencies, bottlenecks, customer preferences, and more. Traditional databases are unable to handle large data sets, therefore, businesses use the best and most reliable data tools to manage data in a seamless manner.
There are a wide variety of businesses and organizations that use big data tools to collect or generate complex and large data sets. Here is a list of industries that employ big data tools for various purposes.
There are numerous reasons like enhanced operational efficiency, scalability and cost-effectiveness for using big data tools. Let’s look at these factors in more detail.
Smarter data quality, swift data processing, link analysis, and enhanced security are some handful of the noteworthy features of big data tools. Let’s dive in and shed some light on the unique features big data tools.
The usage of big data tools provides numerous benefits like customer retention, targeted promotions, real-time insights, and so on. Here we look at some key benefits these tools have to offer.
When buying big data tools, there are numerous factors you need to consider for selecting a perfect tool that meets your company's requirements. Some of those key factors are.
Identify your goals
You should start by trying to work back on the actual problems you are trying to resolve as the starting point of the buying process.
Do you need a reliable visualization tool? Do you want to upgrade from Microsoft Excel? Are you looking for a solution to analyze terabytes or gigabytes of data? Are you looking to decrease the waiting time for your query returns? Is your data unstructured or structured? Do you want to empower your employees to analyze data and create reports?
When you know the answers to all the questions, you'll be easily able to choose appropriate big data tools.
Scalability
Big data repositories are getting bigger every day. You not only require big data tools that perform quickly now, but need tools that can continuously give desired results even as the data grows exponentially.
Owing to the need for scalability, cloud-based big data tools have gained immense popularity among businesses.
Security
The massive data in the big data stores includes a lot of sensitive information that can be highly valuable for competitors, hackers and states-nations. You need to make sure that all the data has appropriate protection to avoid all types of data breaches that have been dominating the headlines.
It means that you should always look for tools that have cutting-edge security features such as encryption, multifactor authentication, regular updates, data backup facility and more.
Cost of Ownership
The upfront expenses of big data tools only represent a small portion of the overall picture. You must also consider the hardware costs, subscription fees, support charges, ongoing license, employee time and expenses related to an on-premise application. Moreover, don't forget that the expenses of cloud computing normally decrease over time.
Author: Kalpana Arya
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