Big Data Tools

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Showing 1 - 20 of 121 products
Showing 1 - 20 of 121 products


Cluvio is a cloud-based business intelligence and analytics solution that enables businesses to analyze data through a dashboard. The solution helps in running queries, filtering results, and displaying data via graphs and charts....Read more

4.50 (72 reviews)


Minitab is a cloud-based statistical tool designed to help small to large organizations across various verticals such as manufacturing, healthcare, energy, automotive or non-profit discover market trends, predict patterns and visu...Read more


Tableau is an integrated business intelligence (BI) and analytics solution that helps to analyze key business data and generate meaningful insights. The solution helps businesses to collect data from multiple source points such as...Read more

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Phocas Analytics

Phocas is a team of passionate professionals who are committed to helping people feel good about their data. Our software brings together organizations’ most useful data from an ERP and other business systems and presents it in a ...Read more

4.79 (98 reviews)

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Pentaho is a business intelligence system designed to help companies make data-driven decisions, with a platform for data integration and analytics. The platform includes extract, transform, and load (ETL), big data analytics, vis...Read more

4.24 (39 reviews)

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MicroStrategy Analytics

The MicroStrategy analytics platform is a cloud-based and on-premise self-service business intelligence platform that supports both data mining and visualization. The platform can be implemented on a gradual and as-needed basis, s...Read more

4.22 (50 reviews)

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Logi Analytics

Logi Analytics is a business intelligence (BI) platform that provides self-service analytics tools for businesses. It can be embedded directly into the applications that employees use every day. Key features include a dashboard, d...Read more

4.20 (40 reviews)

3 recommendations

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CoolaData is a cloud-based business intelligence and behavioral analysis solution that assists companies to organize and analyze data for digital markets. The solution serves various industry verticals, including online and mobile...Read more

4.89 (9 reviews)

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Alteryx Designer

Alteryx is the launchpad for automation breakthroughs. Be it your personal growth, achieving transformative digital outcomes, or rapid innovation, the results are unparalleled. The unique innovation that converges analytics, ...Read more

4.75 (77 reviews)

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BI Office

BI Office by Pyramid Analytics is a business intelligence solution designed for companies of all sizes. It supports predictive statistics, linear regression and outlier detection, prescriptive and predictive analytics within a su...Read more

4.14 (7 reviews)

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Software pricing tips

Read our Big Data Tools Buyers Guide

Subscription models

  • Per employee/per month: This model allows you to pay a monthly fee for each of your employees.
  • Per user/per month: Users pay a monthly fee for users—normally administrative users—rather than all employees.

Perpetual license

  • This involves paying an upfront sum for the license to own the software and use it indefinitely.
  • This is the more traditional model and is most common with on-premise applications and with larger businesses.

Rated best value for money

Qlik Sense

Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. Built on Qlik’s unique Associative Engine, it supports a full range of users and use-cases across the life-cycle...Read more

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Salesforce Analytics Cloud

Salesforce Analytics Cloud, also known as Wave Analytics, is a cloud-based business intelligence (BI) system that provides an interactive platform to access and share business trends. The software provides data insights and helps ...Read more

4.25 (62 reviews)

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Dundas BI

Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics. It provides end users the ability to cre...Read more

4.52 (121 reviews)

5 recommendations

Learn More is a business intelligence (BI) solution available for deployment on both cloud and on-premise. The solution is suitable for midsize to large enterprises. gathers information from sources ranging f...Read more

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ClearStory Data

ClearStory Data is a scalable, cloud-based, business intelligence and analytics solution that can be utilized across a variety of industries, such as health care, manufacturing, retail and real estate. The underlying application i...Read more

0.00 (1 reviews)

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Neural Designer

Neural Designer is an on-premise business intelligence (BI) and machine learning solution designed for any kind of business. With it, you can build artificial intelligence models using neural networks to discover relationships, re...Read more

4.90 (10 reviews)

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SAS Visual Analytics

SAS Business Intelligence is a cloud-based enterprise analysis tool that helps users monitor metrics and manage interactive reports. Designed for large businesses, the platform’s features include customizable dashboard, marketing ...Read more

4.31 (35 reviews)

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DataPlay is a cloud-based data management, analysis and visualization suite that allows users to automate their business intelligence (BI) tasks involving processing, reporting and presenting relevant data. The central hub of...Read more

4.83 (12 reviews)

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Ideata Analytics

Ideata Analytics is a self-service business intelligence platform suitable for most businesses. It offers cloud-based and on-premise deployments and provides users with data warehousing and cleaning, data visualizations and predic...Read more

0.00 (1 reviews)

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Cyfe is a cloud-based all-in-one dashboard application for small to midsize businesses that enables users to monitor all marketing channels including SEO, SEM, email marketing, web analytics, social media and more. It supports a v...Read more

4.62 (73 reviews)

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Popular Big Data Tools Comparisons

Buyers Guide

Last Updated: March 09, 2022

It's safe to say that “big data" is no longer just a buzzword. Today it's a $200 billion industry addressing one of the most significant challenges facing organizations: analyzing vast amounts of disparate data to find patterns or trends that can potentially improve their business.

With the advent of social media and the internet, businesses from small startups to large enterprises are contending with more data than they know what to do with. Approximately 2.5 quintillion bytes of new data are created every single day, meaning the need for big data tools to do the heavy lifting on this analysis will only continue to grow. According to Gartner, almost half of all businesses are investing in big data now, and a quarter plan to invest in big data soon. (Full content available to Gartner clients.)

That's where we come in. In this Buyer's Guide, we'll explain everything you need to know about the big data landscape so you can choose the right tool that will best suit your needs and budget.

Here's what we'll cover:

What Are Big Data Tools?
Common Big Data Tool Functionality
What Type of Big Data Tool Buyer Are You?
Key Considerations When Purchasing Big Data Tools
Other Big Data Tool Resources

What Are Big Data Tools?

Gartner defines big data as “high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing."

Big data tools include any business intelligence (BI) tool that does this all-important processing.

More specifically known as big data analytics tools, these software platforms are designed to parse through large, disparate datasets—be they product data, customer data, employee data etc.—to discover meaningful patterns that connect them and visualize the results in an easily interpretable way for stakeholders to make decisions.

Big data analytics in Tableau

Big data analytics in Tableau

Common Big Data Tool Functionality

Because big data is such a broad term, the functionality of big data tools can vary greatly. Some tools represent robust BI suites that can handle data collection, extraction, cleaning, visualization and more, while others are more stripped down, focusing solely on one aspect of big data analysis.

In general though, here is some of the most common functionality you can expect to find in big data tools:

Data extraction Pulls raw data from various integrated sources and reformats it all into a similar schema or format for easier analysis.
Data mining Uses statistics and data modeling to analyze vast amounts of disparate data and identify trends or patterns that connect them. Learn more about data mining here.
Data visualization Visualizes trends in an easy-to-understand graphical form. These visualizations are usually customizable and interactive, allowing users to change various scales and data sources to analyze trends.
Predictive analytics Applies discovered trends from historical data sets to create models predicting what's likely to happen with that data moving forward.
Reporting Allows users to create and distribute a preloaded set of customized reports or customize their own.

Not sure which functions to prioritize in your search? Check out "5 Core Data Analytics Software Capabilities For SMBs" for guidance.

What Type of Big Data Tool Buyer Are You?

Big data tool buyers generally fall into two categories, each with vastly different needs and priorities:

  • Leadership buyers. These buyers represent your department managers, your vice presidents, even your CEO. Because they often lack in-depth tech knowledge, these buyers tend to prioritize the ease of use and fast deployment of self-service BI tools over in-depth functionality and customization found in more robust systems. Dashboards are key for these buyers, who want to see meaningful big data trends at a glance.
  • IT buyers. IT department buyers are more common, and have the technological know-how to dive into complex functions. Ease of use is still a concern, but these buyers prioritize smooth integration with their existing data warehouses and other business applications first and foremost.

Key Considerations When Purchasing Big Data Tools

Simply picking a tool based on good reviews and signing on the bottom line is a surefire way to end up with buyer's remorse. When evaluating different big data tools and talking to software vendors, here are a few things you should keep in mind:

  • What is your goal with big data? Ultimately, big data tools can't find meaningful patterns if you don't know where to look. That's why it's important for you to define a purpose for your big data tools before investing. According to Gartner, common reasons your company might invest in these tools include enhancing the customer experience, deploying more targeted marketing and increasing process efficiency. (Full content available to Gartner clients.)
  • BoB or integrated suite? Best-of-breed (BoB) or stand-alone big data tools are robust but require integration with other systems to become useful. In some cases, a customer relationship management or enterprise resource planning suite with built-in analytics may be a better option, especially if you're only looking to gain insights from the data in that one system.
  • Do you have all the parts in place first? Big data tools can't do it all. You need a secure, organized data warehouse to store your vast amounts of data. You also need skilled staff who are able to manage your systems and interpret the data. Don't put the cart before the horse, so to speak, by buying a big data tool without the right systems and employees to support it.

Other Big Data Tool Resources

If you're ready to find the right big data tool for your needs, call us at (844) 680-2046 for a no-obligation consultation. Our BI tool advisors will ask you a few questions about your business and your software needs and send you a shortlist of best fit products for free.

If you're not ready to take the plunge yet though, that's OK. This is a complicated software market for beginners. Here are a few more resources where you can learn more about big data: