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Hevo

Hevo is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineeri...Read more about Hevo

4.6 (95 reviews)

1 recommendations

Tableau

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 about Tableau

Google Cloud

Featuring G-Suite and GCP, Google Cloud is a platform that provides a reliable and easy-to-use set of solutions that can be used to tackle the toughest challenges in any type of industry. It provides secure storage options, integr...Read more about Google Cloud

Microsoft Power BI

Microsoft Power BI is a web-based business analytics and data visualization platform that is suitable for businesses of all sizes. It monitors important organizational data and also from all apps used by organizations. Microsoft P...Read more about Microsoft Power BI

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IBM SPSS Statistics

IBM SPSS Statistics is a cloud-based data analysis engine that helps individuals and enterprises by providing statistical foresight to improve efficiency across the business. Designed for businesses of all sizes, it offers solutio...Read more about IBM SPSS Statistics

Oracle Database

Oracle database services and products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL and MySQL da...Read more about Oracle Database

MongoDB

MongoDB is a cloud-based and on-premise distributed database management system designed to help small to large organizations store data in JSON format and perform read and write query operations to sort data based on multiple fiel...Read more about MongoDB

vSphere

vSphere is a server virtualization solution, which enables businesses to run, manage, connect and secure applications in a unified operating environment. The system automatically restarts VMs in case of hardware failures and sends...Read more about vSphere

Sisense

Sisense goes beyond traditional business intelligence by providing organizations with the ability to infuse analytics everywhere, embedded in both customer and employee applications and workflows. Sisense customers are breaking th...Read more about Sisense

Minitab

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 about Minitab

Zoho Analytics

Zoho Analytics is a cloud-based reporting and business intelligence solution that offers several applications within its suite, including dashboards, analysis, reporting, data warehousing and more. This solution is used in multipl...Read more about Zoho Analytics

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 about Qlik Sense

Looker

Looker, now part of Google Cloud, is a cloud-based business intelligence (BI) platform designed to explore and analyze data. The solution helps businesses to capture and analyze data from multiple sources and make data-driven deci...Read more about Looker

Datadog

Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Datadog's SaaS platform integrates and automates infrastructure monitoring, ...Read more about Datadog

Splunk Enterprise

The Splunk Enterprise platform allows users to process and index most forms of data in their native format. It includes data indexing tools, which enable users to locate specific data across large data sets. The software is desi...Read more about Splunk Enterprise

Wolfram Mathematica

Wolfram Mathematica is a technical computing solution that provides businesses of all sizes with tools for image processing, data visualization and theoretic experiments. The notebook interface enables users to organize documents ...Read more about Wolfram Mathematica

Amazon EC2

Amazon Elastic Compute Cloud (Amazon EC2) is a web service designed to help businesses with cloud computing, video encoding, batch processing and big data analytics for developing graphic-intensive applications. Key features inclu...Read more about Amazon EC2

IBM Cognos Analytics

Cognos Analytics is an upgrade to Cognos Business Intelligence (Cognos BI). By adding cognitive guidance, a web-based interface and new data visualization features, Cognos Analytics provides self-service analytics to large and mid...Read more about IBM Cognos Analytics

Prisync

In the dynamic landscape of e-commerce, stay steps ahead with Prisync's advanced competitor price tracking software. Eliminate the guesswork and seamlessly monitor every fluctuation in your market's pricing and stock availability—...Read more about Prisync

Phocas Software

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 about Phocas Software

Buyers Guide

Last Updated: March 16, 2023

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 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: