Big Data Analytics Tools

Get the best big data analytics tools for your business. Compare product reviews, pricing below. Read our buyer’s guide for more help.

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Arcadia Enterprise Screenshot
Arcadia Enterprise is a native visual analytics and BI platform built for big data, and eliminates data movement out of your data platform to simplify the analytic lifecycle. The solution bridges the gap between self-service…
Client OS
Web, Windows, Mac
Deployment
Cloud Hosted
TIBCO Spotfire Screenshot
TIBCO Spotfire is an analytics platform that delivers visual, predictive, & streaming analytics. Data Discovery; Predictive Analytics; Big Data Analytics; Location Analytics; and Enterprise Scale Analytics. Industry-neutral…
Price Range
$ $ · · ·
Starting Price
$1,300/year/user
Client OS
Mac, Web, Windows, iOS
Deployment
Cloud or On-Premises
Periscope Data Screenshot
Periscope Data is a business intelligence and analytics platform for the modern business. The software lets you connect your data from multiple sources and gives the tools necessary to analyze and create the necessary visuals…
Price Range
$ $ $ · ·
Starting Price
$1,000/month
Client OS
Web
Deployment
Cloud Hosted
Qlik Sense Screenshot
Drive insight discovery with the data visualization app that anyone can use. With Qlik Sense, everyone in your organization can easily create flexible, interactive visualizations and make meaningful decisions. Support…
Deployment
Cloud or On-Premises
Tableau Screenshot
Tableau is business intelligence software that allows anyone to connect to data in a few clicks, then visualize and create interactive, sharable dashboards with a few more. It’s easy enough that any Excel user can learn it…
Price Range
$ $ $ · ·
Starting Price
$70/month/user
Client OS
Windows, Web
Deployment
Cloud or On-Premises
Looker Screenshot
Looker is a business intelligence and big data software that harnesses the power of SQL to create powerful data analytics. Looker helps companies get value from their data and gives a 360 view of their customers. Looker…
Price Range
$ $ $ · ·
Starting Price
$300/month/user
Client OS
Windows
Deployment
Cloud Hosted
Domo Screenshot
Domo lets you connect your business to improve your decision-making. The software lets your integrate multiple data sources, store information, prepare reports, visualize your data, collaborate with other…
Price Range
$ $ $ · ·
Starting Price
$83/month
Client OS
Web
Deployment
Cloud Hosted
Sisense Screenshot
Sisense is a business analytics platform that cleans your data, provides interactive visual analytics, and delivers insights. Sisense provides customized dashboards based on your industry. The solution can grab data from…
Price Range
$ $ $ · ·
Starting Price
$4,200/user (perpetual license)
Client OS
Web, Windows
Deployment
Cloud or On-Premises
Microsoft Power BI Screenshot
Power BI from Microsoft is a suite of business analytics tools to analyze data and share insights. Power BI dashboards provide a 360-degree view for business users with their most important metrics in one place, updated in…
Price Range
$ $ $ · ·
Starting Price
$10/month/user
Client OS
Web, Windows, iOS, Android
Deployment
Cloud or On-Premises
Oracle Analytics Cloud Screenshot
Scale insights across your organization with Oracle Analytics Cloud. This tool gives you self-service data visualization, data preparation, reporting, and business intelligence. Oracle Analytics Cloud lets you create…
Client OS
Web
Deployment
Cloud Hosted
Dundas BI Screenshot
Dundas BI is a dashboard, reporting, and analytics platform providing flexible business intelligence. Dundas BI lets all of your users collect data insights to better look into stats and data collected by your company. Dundas…
Price Range
$ $ $ · ·
Starting Price
$6/month/user
Client OS
Web, Windows
Deployment
Cloud or On-Premises
ClicData Screenshot
ClicData is a business intelligence platform that helps you manage and analyze your data through intelligent dashboards. The complete package includes data warehouse, processing and management, dashboard designer and…
Price Range
$ · · · ·
Starting Price
$25/month
Client OS
Web
Deployment
Cloud Hosted
Board Screenshot
Within one single product BOARD offers all the functionalities needed to build any Business Intelligence Software and Corporate Performance Management application solutions, without the use of any programming. Its…
Price Range
$ $ $ $ ·
Client OS
Web, Windows, iOS, Android
Deployment
Cloud or On-Premises
CALUMO Screenshot
CALUMO is a reporting, budgeting and forecasting application for accountants. With CALUMO, organizations can report, budget, forecast and plan their financial, sales, operations, manufacturing, projects, (the list is very…
Price Range
$ $ $ $ ·
Starting Price
$1,000/month
Client OS
Web, Windows
Deployment
Cloud Hosted
Yellowfin BI Screenshot
Yellowfin BI is a powerful suite offering analytics that will let you share insights and make better decisions faster. Yellowfin drives to make businesses truly data-driven. Yellowfin BI has automated dashboards, insight…
Client OS
Web
Deployment
Cloud Hosted
Datawrapper Screenshot
Datawrapper is a data visualization tool that creates charts and maps to help better tell your story. Datawrapper was designed to be used by journalists and can be used on mobile or desktop devices while in the design phase…
Price Range
$ $ · · ·
Starting Price
$39/month
Client OS
Web
Deployment
Cloud Hosted
Halo BI Screenshot
Enterprise intelligence and big data analytics built to leverage your most important investment your people We built the Halo Platform based on a few simple principles: Data isn’t “insight” or “information”, it’s just stuff…
Client OS
Web, Windows
Deployment
Cloud Hosted

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Big Data Analytics Tools Buyer’s Guide

Big data is where the data volume, acquisition velocity, or data representation requires the use of significant scaling for efficient processing. Big data generally means you’re working with larger volumes, a higher velocity, and a great variety. Can you harness the data that is out there to deliver the value proposition for your business?

Find out if big data analytics tools are right for your operation:

What Are Big Data Analytics Tools?

Big data analytics tools let end-users analyze huge volumes of transactional data and other sources that may be left otherwise untapped by conventional business intelligence programs. This is accomplished through data processing, data modeling, data mining, online analytics processing, ultimately helping to create insights, visualizations, dashboards, and reports your business can act upon.

Big data itself is a concept that facilitates the handling of a large volume of data sets. These datasets will be used to serve the business they belong to by helping set goals for the operations. Whether in the cloud or on-premise, these analytics platforms provide the self-service tools you need to dig deeper into your organization.

Big data analytics tools are used by any organization that outgrows simple databases or other data handling architectures. A good example of a simple database is data that can be expressed or handled well in a traditional spreadsheet program such as Excel. Big data tools include non-relational databases (NoSQL), relational parallel processing databases, and big data frameworks/ecosystems.

Arcadia Data Data Sets Big Data Analytics Tools
Arcadia Data provides easy access to your data sets.

Features of Big Data Analytics Tools

  • Data processing: Collects and organizes raw data preparation for eventual use by reformating it into similar and usable data sources. Includes data modeling and data mining.
  • Online analytics processing (OLAP): OLAP’s perform a multidimensional analysis of business data. They allow companies to conduct complex calculations, evaluate trends, and work with data modeling.
  • Predictive analytics: Uses historical data sources to predict what will happen in the future. Examples in everyday business include identifying customers to upgrade/remove services and focusing marketing campaigns on the right targets
  • Statistical analytics: Analyzes data that is made up of numbers for the purpose of analyzing risk or future decision-making
  • Data Visualizations: Patterns, trends, and correlations that place data into a visual context to help people understand. Creates a visual means of enabling rapid consumption of key business data, primarily in the forms of charts, graphs, and plots.
  • Dashboards: A visualization tool that displays the current status of metrics and KPIs for your business, based on your preferences (what numbers to show, what metrics to display, etc.)
  • Reporting: Create reports that let you view trends pertaining to company financials, sales, marketing, human capital management, and more.
Oracle Analytics Cloud Project Creation Big Data Analytics Tools
Oracle Analytics Cloud turns your project data into a data visualization.

Benefits of Big Data Analytics Tools

Big data analytics tools can be of use to any business with a large volume of data that lacks the capability to sift through and understand what it means for their business. Some of the top benefits of big data tools include:

New Product Ideas

Knowing how your customer’s feel about your products and services, or how satisfied they may feel if you created a new product can help your company sustain customers while continuing to add more consistently. This process is called NPD, or new product development.

Some new product development steps include the process of idea generation, idea screening, and idea development/testing. From there, an organization must conduct market testing, work through implementation processes, and determine a price for the product.

Benefits of using big data in new product development include:

  • Creating products that consumers can connect with or relate to
  • Increase the value of the product
  • Minimize risks in the development process
  • Forecast the performance of the products
Domo Order Graph Big Data Analtyics Tools
Domo lets you forecast the performance of a product based on historical metrics.

Identify More Efficient Ways of Doing Business

Storing a lot of data can be costly. Some big data storage and processing frameworks such as Hadoop can assist you in storing a great deal of data (more on that below). There is also predictive analytics which data scientists can use to predict the success of new products.

Predictive analytics can let users suggest that the business continues on the path their on or pivot to a more efficient method of doing things. These suggestions are usually based on historical sales, but can also be based on internal capacity, online conversion rates for related products, sales forecasts, and an analysis of other new product launches.

Tableau Prep Builder Big Data Analytics Tools
The prep builder in Tableau.

Make Faster and Better Decisions

An efficient big data analytics tool will provide you with the increased speed needed to analyze sources of data and ultimately make decisions based on what you’ve learned from this data.

For example, your business may want to gather metrics that will improve customer loyalty and satisfaction, with the end goal of keeping current customers active and not moving to another product/service. Big data analytics software can help you decide what sort of personalization experience to give your customers, such as recommended or personalized product and service suggestions based on their historical use, their previous purchases, the frequency they purchase these products/services, etc.

This is just one of the many examples of putting real-time data to work, which can help increase customer engagement. Customer service can be a very important deciding factor for many to choose to continue business with your company, and data analytics help improve your efficiency at providing this service.

Microsoft Power BI Opportunity Analysis Dashboard Big Data Analytics Tools
The opportunity dashboard of Microsoft Power BI lets you have an overview of your operations.

Big Data Analytics and Machine Learning

Machine learning is the scientific study of algorithms and statistical models with computer systems to perform tasks without using instructions, but instead relying on patterns and inference. @:Daniel Faggella, CEO at Emerj

Machine learning is a form of AI that lets a system learn from data. One famous example is IBM Watson, which is a computer system capable of answering questions posed in natural language.

In big data analytics, machine learning is the processor while big data is the data that’s being fed into the processor or analytical system. Machine learning will then help learn or improve upon its predictions using the data fed into it. In short, machine learning provides extensive calculations done over datasets which creates a learning model. As data file sizes continue to grow, there is larger importance on implementing a distributed computing method with big data analytics solutions.

A great example of the use of big data with machine learning is when it comes to preventative maintenance in a manufacturing plant. Big data can be gathered from the machinery sensors that can help the machine test specific models. If the temperature of a machine seems off, perhaps a replacement part is needed. A maintenance team can also be alerted to address the situation at the earliest available moment.

Business Intelligence Software vs Big Data Analytics Tools

Some may consider business intelligence software (BI tools) and big data analytics tools to be relatively the same thing. They may argue that BI tools and big data analytics software are merely synonyms of one another. While they do provide very similar types of functionalities, the systems can provide a different set of results.

Business Intelligence Software

Business intelligence (BI) is more of an umbrella term that includes big data, data analytics, reporting tools, data visualization, and other tools and systems that make use of historical data. BI tools vendors are always looking for ways to improve their solutions to give the end-user all that they need to learn about their data and make better decisions.

Big Data Analytics Tools

Big data analytics tools can mean different things to different people. To some, it’s a business intelligence software that deals with a larger volume of data. To others, it is a specific type of approach to analytics or focuses on a specific area such as marketing or customer insights. What most can agree on is that big data is found within the overall practice of business intelligence.

What’s The Difference?

Business intelligence software encompasses all types of data analytics and reporting tools that help a business make better decisions. Big data analytics tools help determine the relationship between different sets of data and ultimately create insights. Big data analytics tools will typically be used to process larger volumes of or more complex sets of data. Most BI tools will be sold in various tiers that allow for add-os for “big data capabilities”.

Data Storage and Processing Frameworks

As Big Data defines a data set that is large and complex, businesses will equally need a large and complex framework they can rely on to store their data (data warehouse) and handle batch processing (data management).

One example of a framework is Apache Hadoop, an open-source software project that enables the distributed processing of large data sets across clusters of servers. These data sets include information from corporate systems (ERP and CRM software), external data, social media data, and more. It’s designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance.

Hadoop is both a framework and an ecosystem application rather than a database, which lets you store and process a large volume of data. It can also handle the complexity of handling volume, velocity, and a variety of data.

Integrating Hadoop into your BI architecture has the following benefits:

  • Low-cost data storage
  • Highly scalable
  • Structured, semi-structured and unstructured data
  • Batch oriented query processing