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Data Engineering & Testing
10 Best Big Data Analytics Tools For Reporting In 2022

Software and digital professionals are used to massive amounts of real-time data coming at us from all angles. We’re also keenly aware of how important it is to turn data lakes into readable, actionable insights that can fuel future business decisions.

IIA Director of Research Tom Davenport interviewed 50+ businesses and found the most common uses of big data are cost reduction, faster decision making, and innovation of new products or services. There is an obvious incentive for high impact enterprise data wrangling. That’s why it’s imperative that you pick the absolute best big data processing and analytics tool for your unique situation.

Deciding “how” and “with what” to navigate your complex data optimization is tough. That’s why I’ve compiled this list of advanced analytics solutions that can be leveraged to spin your data sources into strategy gold, so to speak.

How Is Big Data Analyzed?

To put it simply: Big data is analyzed by collecting structured semi-structured and unstructured data from your data lakes and parsing out what’s most relevant to your current informational need most likely using some form of data quality automation to do so.

Then, you leverage statistics and machine learning to parse through the data ecosystem and compile predictive analytics, user behavior analytics, and other metrics. This process might also include text analytics, natural language processing, predictive analytics, and so forth.

All of this works to create end reports that are readable and actionable for business users.

Best Big Data Analytics Tools List

Here’s a shortlist of the best big data analytics tools:

  1. Tableau

    Best big data analytics tool for ease of use

  2. Zoho Analytics

    Best free data analytics tool

  3. Splunk Enterprise

    Best for user behavior analytics

  4. GoodData

    Best agile data warehousing

  5. Arcadia Enterprise

    Best telecommunications analytics solution

  6. SAS Visual Analytics

    Best big data analytics tool with smart visualizations

  7. IBM Cloud Pak for Data

    Best for reducing ETL requests

  8. Azure Databricks

    Best High-Performance Analytics Platform for Azure

  9. Qrvey

    Best big data analysis for start-ups

Big Data Analytics Tools Comparison Criteria

Here’s a summary of my evaluation criteria: 

  1. User Interface (UI): Does the software convey large, complex data sets stemming from myriad sources in an easy to understand, intuitive, and efficient way? Can users reasonably find their way around the large-scope data technologies?
  2. Usability: Big data analysis comes in many shapes and does many things—does the big data software offer use case-specific tutorials, training resources, and tech support? Is the full functionality of the tool manageable for motivated data science experts?
  3. Integrations: Big data analytics tools must connect to an assortment of common and uncommon data stores—Hive, Oracle, Azure, Google Cloud, and social media. There are some must-haves; for example, easy connectors with Amazon Web Services (AWS).
  4. Value for $: Pricing of big data processing solutions must be scalable according to the amount of data, number of data warehouses, artificial intelligence capabilities, and other metrics. Are all costs fair, transparent, and flexible?

Big Data Analytics Tools Key Features

  1. Inclusive of a variety of programming models, like MapReduce, Message Passing, Directed Acyclic Graph, Workflow, SQL-like, and Bulk Synchronous Parallel
  2. Statistical algorithms and what-if analysis
  3. Flexible programming language accommodations (ex. SQL and NoSQL, Java, Python)
  4. A streamlined, interactive application programming interface software (APIS)

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Overviews Of The 10 Best Big Data Analytics Tools

Here’s a brief description of each big data analytics platform on my list, showcasing what it does best, plus screenshots to showcase some of the features.

1

Tableau

Best big data analytics tool for ease of use

Tableau is a user-friendly, intuitive visual analytics platform with built-in best practices for data exploration and informational storytelling. Users can access their full suite of self-service prep and analytics tools with a minimal learning curve, leveraging drag-and-drop visualizations and easy point-and-click AI-driven statistical modeling. Most users should be able to assemble data to their liking without advanced programming or special commands.

Tableau costs from $70/user/month and offers a free 14-day trial.

Pros:

Good native integration with Salesforce CRM

Comes with robust mobile app for iOS and Android

Offers a hearty variety of chart types (Sankey, Doughnut, Maps)

Easy to use with self-learning module available

Cons:

Some data manipulation required in order to successfully match queries

Limited room for columns when assembling worksheets

Frequently requires saved database connections to be re-authenticated

14 Days Free Trial

$70/user/month

2

Zoho Analytics

Best free data analytics tool

Zoho Analytics is a self-service BI and analytics software used by the likes of Hyundai, Ikea, HP, and Philips. Their freemium plan is a bit feature lite but you can add up to 2 users, input up to 10K rows/records, and access unlimited reports and dashboards. This is a pretty sturdy offering for free-to-use data analysis. Zoho Analytics comes with a library of pre-built visualizations divided by function (social media, finance, IT, sales) to help you get started.

Zoho Analytics costs from $22/month for 2 users and offers a free 15-day trial. They also have a free plan for 10K rows/records or less.

Pros:

Building or customizing reports and dashboards is super easy

Excellent embedded AI feature (called ZIA)

Generate reports right from SQL queries

Feature expansion through connection with Zoho’s other apps

Cons:

Hourly data sync not included in entry level plan

Cannot auto export data straight to Google Drive

Dashboards seem a bit cramped and busy

15 Days Free Trial

$22/month for 2 users

3

Splunk Enterprise

Best for user behavior analytics

Splunk is currently used by 91 of the Fortune 100 companies, including Intel, Comcast, and Coca-Cola. Splunk offers machine learning-centric visibility and detection of entity profiling and scoring, risk behavior detection, anomaly observation, and high fidelity behavior-based alerts. You can access a free cloud-based sandbox trial of Splunk UBA to check it out before committing. They offer dedicated solutions to DevOps, Security, IT, and big data.

Splunk costs from $2000/year for 1 GB/day and offers a free plan that allows you to index only 500 MB/day.

Pros:

Flexible data and report sharing using URL links

Quick log queries across different types of infrastructure

Search queries can be saved for repeat use or converted into apps

Can set up detailed, specific alerts for various KPIs

Cons:

Infrastructure maintenance requires more manpower than some competitors

Query builder may be prohibitive for non-technical users

Steep learning curve compared to others

offers a free plan that allows you to index only 500 MB/day.

$2000/year for 1 GB/day

4

GoodData

Best agile data warehousing

GoodData is a big data analytics platform that provides users the tools, runtimes, and storage for data ingestion, preparation, transformation, and analytic queries. They boast 50+ connectors for data ingestion/synchronization and offer an Agile data warehousing system on higher tier plans. Their per-workspace pricing model lets unlimited users access sets of data models, metrics, calculations, and dashboards according to a flexible permissions system.

GoodData costs from $20/workspace/month and offers a free demo. They also have a free plan that includes 5 workspaces and up to 100 MB/workspace.

Pros:

Non-technical users can build dashboards and views easily

Excellent integration with Salesforce, Pardot, Zendesk

Good for scheduling reports according to exact times and frequencies

Provides easy linking of disparate data sources for comparison

Cons:

Coding knowledge required for inquiries and report building

Datasets of 100M+ rows may stall performance

Some data model adjustments might require customer support

Free Demo

$20/workspace/month

5

Arcadia Enterprise

Best telecommunications analytics solution

Arcadia Data scored first place in the 2018 Big Data Analytics Market Study by Dresner Advisory Service report among 17 other BI vendors. Their in-data-lake BI architecture offers a drag-and-drop web-based interface, an in-cluster analytics engine that scales linearly for ease of management, and embedded analytics for Hadoop and Cloud. Telecom companies will enjoy their behavioral churn analysis, service cost controls, and impact of infrastructure reports.

Arcadia Enterprise offers customized pricing upon request. They also have Arcadia Instant, a freemium version of their tool whereby processing is done on your computer rather than on a server cluster.

Pros:

Freemium tool is very accessible and great to test the software

Smooth, intuitive interface for data connections and dashboards

Handy scheduled mail reporting features

Cons:

Poor integration with Hortonworks Data Platform

No mobile app available at this time

A steep learning curve for IoT analytics and ingest functionality

6

SAS Visual Analytics

Best big data analytics tool with smart visualizations

With SAS Visual Analytics, users are able to easily import data from databases, Hadoop, Excel spreadsheets, and social media. They offer a huge variety of interactive visualizations, including bar and pie charts, heat maps, animated bubble charts, vector maps, numeric series, tree maps, network diagrams, correlation matrix, forecasting, decision trees, and more. Plus they have ease-of-use options like one-click filtering and automated content linking.

SAS Visual Analytics costs from $8000/year and offers a free 14-day trial.

Pros:

Flexible drag-and-drop analytics elements

Well-suited to support high volume of simultaneous users

Works with tens of millions of records without lagging

Quality BI dashboards can be accessed across many devices

Cons:

Low number of connection options with third-party apps

Could use better HTML5 support

May be price prohibitive compared to others on this list

14 Days Free Trial

$8000/year

7

DNIF Security Information & Event Management (SIEM)

Best event log management

DNIF HyperCloud is a cloud-native threat detection platform with SIEM, UEBA, and SOAR capabilities and unlimited scalability. This low-infrastructure tool can rapidly analyze vast quantities of unstructured log data and spot patterns to identify complex threats. DNIF allows you to build and customize dynamic dashboards and comes with ready-to-go widgets for threat detection, authentication, cloud monitoring and compliance.DNIF seamlessly integrates with a wide range of operating systems, applications, and security devices. DNIF pricing starts at $10,586 per month on an annual commitment.Pros:Easy to deploy and troubleshoot,Quick log search returns,Highly scalable,Easy to customize,Free trial, Cons:Could offer more flexible security use cases

$10,586/month

8

IBM Cloud Pak for Data

Best for reducing ETL requests

IBM Cloud Pak for Data is a fully-integrated, cloud native, data and AI platform designed for sophisticated DataOps and business analytics solutions. IBM boasts a potential for a 25-65% reduction in extract, transform, load (ETL) requests by eliminating the complexities of data integration of different data types and structures using Cloud Pak for Data. You can customize your workflow using their flexible API and complimentary proprietary and third-party services.

IBM Cloud Pak for Data costs from $800/month and offers a 7-day free trial.

Pros:

Award-winning data security solutions

Good for optimizing storage and other maintenance of preexisting data

Tailored solutions for lessening your ETL request load

Cons:

Could use more options to better migrate data from other cloud providers to IBM

May be cost prohibitive for smaller enterprises

Their Db2 database has a bit of a clunky, old-fashioned feel

7 Days Free Trial

$800/month

9

Azure Databricks

Best High-Performance Analytics Platform for Azure

Azure Databricks is a data analytics tool optimized for Microsoft’s Azure cloud services solution. It provides three development environments for data-intensive apps, namely Databricks SQL, Databricks Machine Learning, and Databricks Data Science & Engineering.The platform supports languages including Python, Java, R, Scala, and SQL, plus data science frameworks and libraries including TensorFlow, scikit-learn, and PyTorch.Databricks offers pay-as-you-go pricing based on your computer usage, or prepaid packages starting from $23,500 per year. Pros:Highly versatile,More powerful than comparable AWS and Google tools, Supports multiple languages, Cons:Expensive for smaller teams/projects, Dashboards and visualizations could be better

$23,500/year

10

Qrvey

Best big data analysis for start-ups

Qrvey is an embedded analytics platform used for SaaS data, analytics, and automation technologies. You can deploy it right into your pre-existing AWS account in order to visualize your entire data pipeline. Their start-ups package includes specialized support for pre-launch or early-launch companies, like quick installation and launch, serverless analytics scalability, no-code embedded widgets, up to 10 GB data, and a lower entry subscription price point.

Qrvey costs from $2500/year and offers both a free demo and a free trial.

Pros:

Good out-of-the-box workflows/automation tool

Ability to embed a chart into your own web app without iFrames

Unlimited users and API calls for ever plan tier

Cons:

Unlimited data limited to highest tier subscription plan

Few online resources available for self-help

More chart types would be welcomed

Free Trial

$2500/year

The 10 Best Big Data Analytics Tools Summary

Tool Free Option Price
1
Tableau

Best big data analytics tool for ease of use

14 Days Free Trial

$70/user/month Visit Website
2
Zoho Analytics

Best free data analytics tool

15 Days Free Trial

$22/month for 2 users Visit Website
3
Splunk Enterprise

Best for user behavior analytics

offers a free plan that allows you to index only 500 MB/day.

$2000/year for 1 GB/day Visit Website
4
GoodData

Best agile data warehousing

Free Demo

$20/workspace/month Visit Website
5
Arcadia Enterprise

Best telecommunications analytics solution

Not available

Visit Website
6
SAS Visual Analytics

Best big data analytics tool with smart visualizations

14 Days Free Trial

$8000/year Visit Website
7

Not available

$10,586/month Visit Website
8
IBM Cloud Pak for Data

Best for reducing ETL requests

7 Days Free Trial

$800/month Visit Website
9
Azure Databricks

Best High-Performance Analytics Platform for Azure

Not available

$23,500/year Visit Website
10
Qrvey

Best big data analysis for start-ups

Free Trial

$2500/year Visit Website

Need expert help selecting the right Big Data Software?

We’ve joined up with the software comparison platform Crozdesk.com to assist you in finding the right software. Crozdesk’s Big Data Software advisors can create a personalized shortlist of software solutions with unbiased recommendations to help you identify the solutions that best suit your business’s needs. Through our partnership you get free access to their bespoke software selection advice, removing both time and hassle from the research process.

It only takes a minute to submit your requirements and they will give you a quick call at no cost or commitment. Based on your needs you’ll receive customized software shortlists listing the best-fitting solutions from their team of software advisors (via phone or email). They can even connect you with your selected vendor choices along with community negotiated discounts. To get started, please complete the form below:

Free Big Data Analytics Tools

Big data analytics usually comes with a cost. These slimmed down versions of data processing and analysis are free to use, though.

  1. Zoho Analytics – Free plan for up to 2 users and 10K rows/records or less
  2. Kognito – Free if deployed on standalone servers or on MapR but limited to 512GB RAM.
  3. Splunk – Free with limited enterprise features and a limit of indexing 500 MB/day.
  4. Arcadia Instant – Free downloadable option with all processing done on your computer rather than on a server cluster.
  5. GoodData – Free plan includes 5 workspaces and up to 100 MB/workspace.

Other Big Data Analytics Tools

Here’s a few more that didn’t make the top list.

  1. DNIF Big Data Analytics – Best event log management 
  2. CloudMoyo – Best for CIOs and CTOs
  3. Altamira Lumify – Best for link analysis 
  4. Azure Databricks – Best for Microsoft Suite users 
  5. MATLAB – Best iterative analysis and design processes
  6. Qubole – Best for openness and data workload flexibility
  7. SiSense – Best API-first cloud technology
  8. Apache Spark – Best open-source big data analytics tool (with Apache Hadoop)
  9. Talend – Best data integration with governance
  10. Plotly – Best to productionize Python analytics
  11. Cloudera – Best industrialized enterprise AI
  12. Jethro – Best for 1000+ concurrent users 
  13. Exasol – Best for retail data analytics
  14. Omniscope Evo – Best for Chrome browser users 
  15. Deep.BI – Best for e-commerce and banking
  16. Accelerite ShareInsights – Best collaborative rapid insight prototyping 
  17. Bizintel360 – Best for analytics without programming knowledge
  18. iCEDQ – Best for dataops testing and monitoring 
  19. Hortonworks – Best open source framework for distributed storage 

Which Big Data Analytics Tools Have You Used?

What do you think about this list of business intelligence and big data analysis tools? What data management tools do you use for your business analytics on a day to day basis? Do you have a big data platform in mind that you would add to this list if you could? What big data visualization tools are your “must-haves” on-premise or in the cloud? Let us know in the comments section.

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Need expert help finding the right Big Data Software?

We’ve partnered with the software comparison portal Crozdesk.com to help you find the right solution. Crozdesk’s Big Data Software advisors can give you independent advice and shortlist software products that best fit your specific needs. Our partnership gives you free access to their tailored software selection advice and community negotiated discounts, taking the hassle out of the research process.

It takes just a minute to submit your requirements and they will give you a call at no cost or commitment. You’ll get custom product shortlists covering the top solutions that best fit your specific needs from their team of software experts (via phone or email) and they can even connect you to your choice of the selected vendors. To get started, please submit the form below:

By Jason Boog

Over his 15-year career, Jason Boog has worked as a QA tester, QA analyst, and Senior QA Analyst on video games, commercial sites, and interactive web applications. He spent more than a decade building out the QA team and process as Director of Quality & Client Support at a full-service digital agency.

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