Finding software can be overwhelming. Software Advice has helped hundreds of businesses choose the right big data tools to analyze their historical datasets and extract meaningful trends and patterns.

Showing 1-20 of 172 products

Domo

Domo is the Business Cloud®, empowering organizations of all sizes with BI leverage at cloud scale in record time. With Domo, BI-critical processes that took weeks, months or more can now be done on the fly, in minutes or seconds,... Read more

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Recent recommendations: 17 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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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 create... Read more

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Recent recommendations: 12 recommendations

Platforms: MacWinLinux
Deployments: On premise
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Sisense

Sisense is an agile business intelligence (BI) solution that provides advanced tools to manage and support business data with analytics, visuals and reporting. The solution allows businesses to analyze big and disparate datasets and... Read more

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Recent recommendations: 11 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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ClicData

ClicData is a business intelligence (BI) dashboard solution designed for use primarily by small and midsized businesses. The tool enables end users to create reports and dashboards. A drag-and-drop interface designed for ease of use... Read more

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Recent recommendations: 10 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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TIBCO Spotfire

TIBCO Spotfire provides executive dashboards, data analytics, data visualization and KPI push to mobile devices. It complements existing business intelligence and reporting tools, while midsize organizations can use dashboards and... Read more

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Recent recommendations: 9 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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Style Intelligence

InetSoft Style Intelligence is a business intelligence software platform that allows users to create dashboards, visual analyses and reports via a data mashup engine—a tool that integrates data in real time from multiple sources.... Read more

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Recent recommendations: 4 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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Phocas Business Intelligence

Phocas is a cloud-based, SaaS company specializing in data analytics for manufacturing, distribution and retail industries. Phocas uses sector knowledge to consolidate essential business data from common ERP, CRM and AP/AR systems... Read more

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Recent recommendations: 3 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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Sigma

Sigma is the business intelligence and analytics solution that allows everyone in your organization, not just analysts, to ask questions and find answers using data. Instant, guided access to the cloud data warehouse enables teams... Read more

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Recent recommendations: 3 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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CXO

Your organization depends on your team to deliver the actionable C-Level insights from your EPM data that it needs. If you are stuck with static reports, BI tools that don’t innately understand the hierarchies and dimensions of financial... Read more

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Recent recommendations: 3 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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Incorta Data Analytics

Incorta is a unified data analytics platform that provides a true self-service data experience. The software enables organizations to quickly and accurately make decisions based on vast easy to digest data sets. Incorta is a data... Read more

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Recent recommendations: 3 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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Lumenore

Lumenore is a cloud-based technology performance management platform that integrates with multiple data sources, including spreadsheets, databases, social media and any existing cloud-based or on-premise software solution. It is suitable... Read more

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Recent recommendations: 3 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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BOARD

Created to combine business intelligence, corporate performance management, and business analytics, BOARD is a full-featured business intelligence system that serves midsize and enterprise-level companies in a variety of different... Read more

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Recent recommendations: 2 recommendations

Platforms: MacWinLinux
Deployments: CloudOn premise
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Toucan Toco

Toucan Toco is a cloud-based data visualization solution designed to deliver data and insights to non-technical decision makers using visual data storytelling. With Toucan's application studio, businesses are able to create and display... Read more

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Recent recommendations: 2 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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Etleap

Etleap is a cloud-based AWS database management tool that allows users to analyze data from disparate sources. Users can add or modify new data sources and apply custom transformations to their datasets. It works with analytical... Read more

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Recent recommendations: 1 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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Dploy Solutions

Dploy Solutions is a cloud-based manufacturing and industrial IIoT software that helps businesses collect, combine and analyze performance data across plant floors and other operations departments. It allows users to gain real-time... Read more

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Recent recommendations: 1 recommendations

Platforms: MacWinLinux
Deployments: Cloud
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Stratum

Stratum by Silvon is a robust business intelligence solution that was designed to meet the unique needs of business professionals working for manufacturing and distribution companies. Stratum offers a full suite of integrated analytic... Read more

Platforms: MacWinLinux
Deployments: CloudOn premise
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Exago

Exago BI is a 100% web-based, end-to-end business analytics solution that’s designed to be embedded in web-based applications. Embedding Exago BI allows SaaS companies of all sizes to provide their customers with self-service ad... Read more

Platforms: MacWinLinux
Deployments: CloudOn premise
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TARGIT Decision Suite

TARGIT Decision Suite is a business intelligence and analytics solution that offers visual data discovery tools, self-service business analytics, reporting and dashboards in a single, integrated solution. TARGIT combines the control... Read more

Platforms: MacWinLinux
Deployments: CloudOn premise
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Yellowfin

Yellowfin, a business intelligence platform, is a single integrated solution developed for companies across varying industries and scaling sizes. This system is customizable to suit businesses in accounting, advertising, agriculture,... Read more

Platforms: MacWinLinux
Deployments: CloudOn premise
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TrenData

TrenData People Analytics is a cloud-based business intelligence (BI) solution designed for midsize businesses across various industries. The solution offers various HR analytics and workforce management features such as compensation... Read more

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Buyers guide


Last Updated: August 7, 2020

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.
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  • 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.)
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  • 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.
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  • 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: