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Top Rated Big Data Software with Reporting/Analytics in 2026

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Verified reviewer profile picture

All user reviews are verified by in-house moderators and provider data by our software research team.  Learn more

Last updated: March 2026

Reporting and analytics in big data software enable users to generate detailed reports, perform in-depth analysis, and make data-driven decisions. These tools help uncover trends, identify correlations, and provide actionable insights. Our reviewers in big data software rated this feature as highly important.

4 Best Big Data Software with Reporting/Analytics

  • IBM SPSS Statistics
  • Tableau
  • Google Cloud
  • Microsoft Power BI - Highest rated for reporting/analytics

See other top Big Data products with reporting/analytics

How we picked the 4 top rated products

We chose the high-performing solutions on this list based on verified user ratings on our site. Depending on available data, qualifying products either had to be among the most user-reviewed or the most searched-for products in the big data software category. They also needed to have sufficient reviews about reporting/analytics, have a minimum user rating of 3 out of 5 for that feature, and show evidence of U.S. market presence. We then added a distinction for the product with the highest rating for reporting/analytics based on our proprietary ratings and reviews. Sponsorship or client status has no influence on the selection of these products, but it may impact the order in which products appear.

Details for the 4 best products

IBM SPSS Statistics logo
4.5
(644)
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User insights about the reporting/analytics feature

Users value IBM SPSS Statistics for its comprehensive reporting and analytics capabilities. They appreciate its wide range of statistical analyses, ease of generating descriptive and inferential statistics, and the ability to seamlessly integrate with other programs like Word and Excel. Reviewers find the reporting output clear and easy to interpret, although some mention it lacks aesthetic appeal compared to other software. They also note that SPSS is specialized and reliable, making it a preferred tool for detailed data analysis and reporting in research contexts.
“This is what SPSS is all about! The variety of analytics and ease of use make SPSS very easy to use. Additionally, SPSS is easy to navigate and has an excellent graphic user interface. Analytics compare to all other--more complicated--analysis software. Reporting is not only clear and concise, but easy to copy/paste into whatever word processing or presentation software you want. Excellent choice for anyone wanting to analyze date--from the novice to the graduate student, to the expert!”
AT

Aaron T.

Program Analyst

“SPSS Seamlessly integrates with other programs like word and excel, making reporting of statistical results very easy and flexible. You can copy/export reports in different formats”
Verified reviewer profile picture

Ngha N.

Data Analyst

Big Data key features coverage

IBM SPSS Statistics offers 5 out of the 5 key features for Big Data software identified by reviewers:

Statistical Analysis4.8
High Volume Processing4.8
Data Connectors5.0
Data Discovery4.7
Data Visualization4.3

Pros and cons based on 644 verified reviews

59% of users rated IBM SPSS Statistics 5 out of 5 stars, while 0% gave it 1 or 2 stars. To determine these pros and cons insights we analyzed 644 reviews and identified the topics where users expressed positive and negative sentiment.

Pros:

Versatile for social sciences

Efficient statistical calculations

Comprehensive research analysis

Advanced statistical analysis

Cons:

High cost concerns

Slow performance with large datasets

Steep learning curve

See pros and cons details

Pricing

Starting price:$99 |Free version:Not available|Free trial:Available

Prices may vary depending on the number of users and features.

Tableau logo
4.6
(2.3K)
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User insights about the reporting/analytics feature

Reviewers highlight Tableau's powerful reporting and analytics capabilities, emphasizing its ease of use and intuitive interface. They appreciate the ability to create custom KPIs, interactive dashboards, and visually appealing reports with minimal effort. Users find Tableau particularly useful for data visualization, trend analysis, and sharing insights across teams and departments. However, some mention that the out-of-the-box visualizations are not very attractive and require advanced techniques for customization. Despite this, Tableau remains a preferred tool for comprehensive data analysis and reporting.
“Flexibility: Tableau is a very flexible tool, and it can be used to create a wide variety of reports. There are over 100 different types of charts and graphs available, and users can customize their reports to meet their specific needs.”
JO

John O.

Data Analyst

“All reporting features are well defined but most particularly features like forecasting, clustering, and trend analysis to gain insights from their data are most significant for my organization. ”
SD

Samiran D.

Project Officer

Big Data key features coverage

Tableau offers 5 out of the 5 key features for Big Data software identified by reviewers:

Statistical Analysis4.5
High Volume Processing5.0
Data Connectors4.4
Data Discovery4.5
Data Visualization4.7

Pros and cons based on 2,347 verified reviews

62% of users rated Tableau 5 out of 5 stars, while 1% gave it 1 or 2 stars. To determine these pros and cons insights we analyzed 2,347 reviews and identified the topics where users expressed positive and negative sentiment.

Pros:

Comprehensive data visualization

Diverse visualization techniques

Intuitive drag-and-drop interface

Enhanced team collaboration

Versatile chart creation

Cons:

Slow performance with large datasets

High licensing costs

Frequent and problematic updates

High cost compared to competitors

Complicated data filtering

See pros and cons details

Pricing

Starting price:$15 per user/per month|Free version:Available|Free trial:Available

Prices may vary depending on the number of users and features.

Google Cloud logo
4.7
(2.2K)
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User insights about the reporting/analytics feature

Users find Google Cloud's reporting and analytics capabilities detailed and useful for tracking and assessing website performance. They appreciate the unified analytics that help remove traditional constraints of scale, performance, and cost. Reviewers note the ease of extracting data, identifying trends, and sharing reports with access control. However, some mention that the reporting feature is not extensively used or noticed, and there is a desire for more analytics options. Overall, Google Cloud provides valuable insights and facilitates informed decision-making.
“GCP has various functionalities which not only allow us to generate reports but they can be shared with ease with access control. I use reporting tools to share financial information which should only be enabled to be accessed by specific people and Google cloud platform provides me with such functionality. ”
HR

Hrudvi R.

Analyst

“Unified analytics helps us get insights by removing traditional constraints of scale, performance and cost to solve business challenges. It allows us to maximize value from data with a flexible, open and multi-cloud platform.”
KK

Krishna K.

Software Enginner

Big Data key features coverage

Google Cloud offers 4 out of the 5 key features for Big Data software identified by reviewers:

Statistical Analysis
High Volume Processing4.4
Data Connectors4.5
Data Discovery4.5
Data Visualization4.5

Pros and cons based on 2,250 verified reviews

72% of users rated Google Cloud 5 out of 5 stars, while 0% gave it 1 or 2 stars. To determine these pros and cons insights we analyzed 2,250 reviews and identified the topics where users expressed positive and negative sentiment.

Pros:

Flexible scalability options

Extensive API offerings

Robust data storage solutions

Efficient document sharing

Seamless integrations

Cons:

Dependence on internet speed

Inadequate customer support

Frequent software issues

Complex and costly pricing

See pros and cons details

Pricing

Free version:Available|Free trial:Available

Prices may vary depending on the number of users and features.

Microsoft Power BI logo
4.6
(1.8K)
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User insights about the reporting/analytics feature

Reviewers appreciate Microsoft Power BI's robust reporting and analytics capabilities. They highlight the ease of creating visually appealing and interactive reports and dashboards, which transform raw data into meaningful insights. Users find it user-friendly, especially with its seamless integration with other Microsoft products like Excel. They report that Power BI supports real-time data, offers extensive customization options, and simplifies the presentation of data to stakeholders. However, some note that it requires advanced technical skills and has limitations in data refresh frequency.
“Power BI allows users to create visually appealing and interactive reports and dashboards. This is important because humans are generally better at interpreting information visually. The visualizations in Power BI, such as charts, graphs, and maps, m”
RI

Refaei I.

it manager

“The ability to organize huge amounts of raw data for reporting purposes is incredibly useful and Power BI provides excellent solutions both analytically and for report summarization purposes.”
CR

Carl R.

Financial Analyst

Big Data key features coverage

Microsoft Power BI offers 4 out of the 5 key features for Big Data software identified by reviewers:

Statistical Analysis
High Volume Processing4.5
Data Connectors4.4
Data Discovery4.5
Data Visualization4.7

Pros and cons based on 1,868 verified reviews

63% of users rated Microsoft Power BI 5 out of 5 stars, while 1% gave it 1 or 2 stars. To determine these pros and cons insights we analyzed 1,868 reviews and identified the topics where users expressed positive and negative sentiment.

Pros:

Powerful analytical tools

Seamless Microsoft integration

Comprehensive data analysis

Versatile chart options

Advanced visualization tools

Cons:

Challenging problem solving

Slow performance with large datasets

Complex user navigation

Difficult Excel formula integration

Steep learning curve

See pros and cons details

Pricing

Starting price:$10 per user/per month|Free version:Available|Free trial:Not available

Prices may vary depending on the number of users and features.

Other Top Rated Big Data Software with Reporting/Analytics in 2026

API Server logo

API Server

(0)

Build enterprise-ready REST APIs from any database

visit website
CData's API Server can be used to build REST APIs from any database including SQL Server, MySQL, DB2, Mongo, and others. API Server users can create fully-documented, discoverable APIs using existing enterprise data. This solution provides configuration options for database / data source connection plus authentication and permissions for increased security. It allows users to publish APIs locally or in the cloud. API Server can integrate with Microsoft Power BI and other popular systems.

Read more about API Server

Users also considered
SAS Viya logo

SAS Viya

Cloud native AI and analytics platform

visit website
SAS Viya is a cloud-native data and artificial intelligence platform designed to support analytics workflows across organizations. The platform features data management capabilities that provide access to multiple data sources with built-in governance and lineage tracking. It includes machine learning, statistical modeling, and data mining tools accessible through both visual and code-based interfaces, along with SAS Viya Copilot for AI-assisted tasks.

Read more about SAS Viya

Users also considered
Google Cloud logo
Category Leaders

Modular platform for computing, hosting, storage and more

learn more
Google Cloud Platform is a modular-based platform providing multiple build and scale services to businesses of any size within any industry. It offers tools for document storage, data warehousing, security key enforcement, app creation, API management, AI and machine learning, live chat, and more.

Read more about Google Cloud

Users also considered
Tableau logo
Category Leaders

Visual analytics platform for data exploration

learn more
Tableau is a business intelligence and analytics platform that enables users to connect to databases, create data visualizations, and share insights. The platform offers deployment options including cloud-based, self-hosted, and desktop environments with drag-and-drop functionality for building interactive dashboards. It features AI-based analytics capabilities, integration with Salesforce CRM, and supports visual storytelling and collaboration across organizations.

Read more about Tableau

Users also considered
Microsoft Power BI logo

BI visualization and reporting for desktop, web or mobile

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Microsoft Power BI converts data into rich interactive visualizations, utilizing business analytics tools to share dashboard-based insights across all devices

Read more about Microsoft Power BI

Users also considered
IBM SPSS Statistics logo
Category Leaders

Business intelligence and statistical analysis software

learn more
IBM SPSS Statistics is a business intelligence software that helps businesses of all sizes conduct statistical analysis utilizing big data, machine learning algorithms, open-source extensibility, and other methodologies from within a unified platform.

Read more about IBM SPSS Statistics

Users also considered
MongoDB logo

Database management and application development software

learn more
AI demands adaptability. MongoDB offers flexible, scalable, AI-ready data solutions, eliminating friction and accelerating innovation.

Read more about MongoDB

Users also considered
Oracle Database logo

Discover the Right Database for You

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Oracle Database is a data warehouse software designed to help businesses of all sizes manage data and automate recurring tasks using machine learning-enabled tools. The platform enables managers to generate business models, transform data, and detect hidden anomalies across datasets.

Read more about Oracle Database

Users also considered
Datadog logo

Cloud-Scale Monitoring Platform For Dev, Sec, and Ops teams.

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Datadog is a full stack monitoring service for IT, Operations, Security, and Development teams who develop and run cloud applications and deal with large amounts of data.

Read more about Datadog

Users also considered
Sisense logo

BI & dashboard software for multiple, large data sets

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Sisense data & analytics platform makes it incredibly easy to mashup data from across your entire data landscape and transform it into powerful, actionable analytics applications that can be embedded anywhere. From startups to brands like GE, Nasdaq, & Philips, thousands of organizations use Sisense

Read more about Sisense

Users also considered
Minitab logo
Category Leaders

Visualize, analyze, and harness the power of your data.

learn more
Minitab is a statistical and data analytics software, which helps organizations predict, visualize, and analyze business data to forecast patterns, discover trends, view relationships between variables, and more. The built-in assistant lets users manage data analysis and interpretation operations.

Read more about Minitab

Users also considered
Zoho Analytics logo
Category Leaders

Agentic Al-Powered Self-Service Bl and Analytics Platform

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AI-powered self-service BI and analytics platform that scales up to analyze huge data volumes for insights

Read more about Zoho Analytics

Users also considered
Looker logo

BI platform for data exploration & analytics

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Looker is data analytics platform that makes it easy for everyone to find, explore and understand your business data.

Read more about Looker

Users also considered
Splunk Enterprise logo

Machine data management and analytics

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Splunk Enterprise is a cloud-based platform designed to assist businesses with big data management and analysis of machine data. Key features include data visualization, performance metrics, data collection, real-time search, indexing, KPI tracking, reporting, and monitoring.

Read more about Splunk Enterprise

Users also considered
Qlik Sense logo
Category Leaders

End-to-end data analytics platform

learn more
Qlik Sense is a business intelligence (BI) and visual analytics platform that supports a range of analytic use cases. It supports a full range of users and use-cases across the life-cycle from data to insight.

Read more about Qlik Sense

Users also considered
Amazon EC2 logo

Amazon Elastic Compute Cloud

learn more
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable compute capacity in the cloud. It is designed to facilitate web-scale computing for developers.

Read more about Amazon EC2

Users also considered
Prisync logo

Competitor Price Tracking and Dynamic Pricing Software

learn more
Historical Logs For Past Pricing Performance

Read more about Prisync

Users also considered
Wolfram Mathematica logo

Simulation solution for technical computing.

learn more
Wolfram Mathematica is a simulation solution that offers a variety of functions including natural language input, real-world data capabilities, high-powered computation, and more. The platform provides various features such as machine learning, data science, and visualization. Its intuitive interface, predictive suggestions, and rich document organization make it incredibly user-friendly.

Read more about Wolfram Mathematica

Users also considered
Phocas logo

Business intelligence, financial reporting & sales analytics

learn more
Phocas provides big data analytics to uncover trends, patterns, correlations or other useful insights that lead to tangible results.

Read more about Phocas

Users also considered
Alteryx Designer logo

The AI Platform for Enterprise Analytics

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Alteryx enables the preparation, blending and analysis of data using repeatable workflows, facilitating a faster reporting of analytics for deeper BI insights

Read more about Alteryx Designer

Users also considered
Hevo logo

No-code, data pipeline for advanced ETL, ELT and Reverse ETL

learn more
Hevo is a no-code, bi-directional data pipeline technology designed specifically for advanced ETL, ELT, and Reverse ETL requirements.

Read more about Hevo

Users also considered
Hermix logo

Win public contracts with AI

learn more
Hermix helps companies win public contracts, with tender monitoring, analysis, and market intelligence based on AI

Read more about Hermix

Users also considered
Grepsr logo

Managed data acquisition, perfected at scale.

learn more
Grepsr is a powerful Big Data service. We offer efficient and customizable data extraction, automation, and analysis solutions for businesses dealing with large datasets. With our user-friendly interface and robust functionality, Grepsr enables organizations to streamline data collection.

Read more about Grepsr

Users also considered
Snowflake logo

Cloud data platform for tech professionals and businesses

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Snowflake is a cloud data platform that can enable critical data workloads and secure collaboration. This solution can be used to run data across multiple regions for a single, unified experience across a business ecosystem. Using a multi-cluster shared data architecture, Snowflake provides access to the same data without affecting business performance. The platform can scale to any volume of data and number of users.

Read more about Snowflake

Users also considered
Cleo Integration Cloud logo

Secure Integration and Data Movement Platform

learn more
Cleo Integration Cloud (CIC) is a cloud-based integration platform, purpose-built to design, build, operate and optimize critical ecosystem integration processes.

Read more about Cleo Integration Cloud

Users also considered

Key features for Big Data software

Based on GetApp's analysis of verified user reviews collected between July 2021 and August 2024.

  • Statistical Analysis: Users value the ability to perform various statistical analyses such as regression, correlation, and ANOVA easily and accurately. 90% of reviewers rated this feature as important or highly important.
  • High Volume Processing: Reviewers appreciate handling and analyzing large datasets efficiently, with features like horizontal scaling, parallel processing, and real-time analysis. 89% of reviewers rated this feature as important or highly important.
  • Data Connectors: Reviewers find the extensive range of data connectors valuable for integrating various data sources, ensuring smooth data import and preparation for analysis. 88% of reviewers rated this feature as important or highly important.
  • Data Discovery: Users emphasize the ease of finding and exploring important patterns and insights within data, facilitating better understanding and decision-making. 87% of reviewers rated this feature as important or highly important.
  • Data Visualization: Users appreciate the tools for creating clear, interactive charts and graphs that make data insights easy to understand and communicate. 85% of reviewers rated this feature as important or highly important.