Top Free Statistical Analysis Software

How Many Statistical Analysis Software Products Does G2 Track?

Total Products under this Category: 160

Category Stats (Nov 2026)

  • Average Rating: 4.25/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Rapidminer SLC (+0.61%) - Among all products in this category, Rapidminer SLC recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Statistical Analysis Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 8,400+ Authentic Reviews
  • 160+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Statistical Analysis Software

G2 Grid® for Statistical Analysis Software plotting products by satisfaction and market presence

Highlighted products: SAS Viya, IBM SPSS Statistics, Minitab Statistical Software, Base SAS, Posit Team, Qualtrics Market Research, Orange, and KNIME.

Underlying data: [Grid® JSON](https://www.g2.com/categories/statistical-analysis/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=ibm-spss-statistics&focus%5B%5D=minitab-statistical-software&focus%5B%5D=base-sas&focus%5B%5D=posit-team&focus%5B%5D=qualtrics-market-research&focus%5B%5D=orange&focus%5B%5D=knime-analytics-platform)

SAS Viya

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

Average Rating: 4.3/5.0

Total Reviews: 793

How Do G2 Users Rate SAS Viya?

  • Quality Control: 8.9/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.9/10 (Category avg: 8.4/10)
  • Data Sampling: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind SAS Viya?

  • Seller: SAS Institute
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Who Uses This: Student, Biostatistician
  • Top Industries: Pharmaceuticals, Banking
  • Company Size: 34% Small, 33% Large

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of SAS Viya, thanks to its simple syntax and integrated features for analytics.
  • Users commend SAS Viya for its powerful and sophisticated features that enhance data analysis and collaboration across teams.
  • Users value the powerful analytics and integration features of SAS Viya, significantly enhancing data analysis capabilities.
  • Users value the powerful data analysis capabilities of SAS Viya, enhancing efficiency and integration for various tasks.
  • Users value the modern, intuitive user interface of SAS Viya, enhancing productivity with seamless navigation and integration.
Cons
  • Users find the learning difficulty of SAS Viya challenging, especially for beginners due to its complexity and limited resources.
  • Users find SAS Viya has a steep learning curve, making it challenging for newcomers to grasp effectively.
  • Users find SAS Viya's complexity and steep learning curve challenging, hindering effective use and self-learning opportunities.
  • Users find the difficult learning curve of SAS Viya challenging, especially for beginners seeking easier comprehension.
  • Users find the licensing costs of SAS Viya to be prohibitively expensive, especially for features they don't use.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

IBM SPSS Statistics

IBM SPSS Statistics is an end-to-end statistical solution that simplifies advanced statistical analysis across industries for users of any statistical expertise. It offers comprehensive resources, expert support, and proven reliability to transform complex data into impactful decisions IBM SPSS Statistics recent version 32 release comes up with powerful new features such as AI Output Assistant, Mediation Analysis, Curated Help Designer and many advanced algorithms. IBM SPSS Statistics • offers an easy to use drag and drop interface along with AI Output Assistant to interpret complex statistical output in easy language. • simplifies complex data analysis using advanced statistical techniques that performs data preparation and management, to analysis and reporting. • performs predictive analysis using advanced forecasting procedures to uncover patterns and predict future trends. • creates compelling visual representations to identify trends, derive accurate conclusions and deliver graphs and presentation-ready reports Explore how both individuals and organizations spanning across Industries can simply complex statistical test through an easy to use, accurate ,reliable and secure solution. Use Cases 1. Market Research - Statistical procedures highlighting how to do market research with IBM SPSS 2. Client Acquisition – Emphasizes on how can organizations can acquire more clients and understand consumer behavior 3. Forecasting – Analyze historical sales data, evaluate key trends, predict outcomes relevant to inventory planning 4. Healthcare - Enabling healthcare organizations to improve patient outcomes 5. Government - Empowering Government institutions to take smarter policy decisions 6. Supply Chain - Utilize Statistical Algorithms to make data-driven decisions across procurement, inventory, logistics, and demand planning. Visit here to see what's new in v32 - https://www.ibm.com/products/spss-statistics/whats-new

Average Rating: 4.2/5.0

Total Reviews: 901

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How Do G2 Users Rate IBM SPSS Statistics?

  • Quality Control: 8.4/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.4/10 (Category avg: 8.4/10)
  • Data Sampling: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind IBM SPSS Statistics?

  • Seller: IBM
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Research Assistant, Assistant Professor
  • Top Industries: Higher Education, Research
  • Company Size: 43% Large, 30% Medium

What Do G2 Reviewers Say About IBM SPSS Statistics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of IBM SPSS Statistics, which simplifies complex analyses with its intuitive interface.
  • Users appreciate the user-friendly interface of IBM SPSS Statistics for executing complex analyses effortlessly.
  • Users value the robust data management capabilities of IBM SPSS Statistics, improving the quality of data analysis significantly.
  • Users commend the intuitive user interface of IBM SPSS Statistics, facilitating smooth navigation and data handling.
  • Users value the analysis capabilities of IBM SPSS Statistics, enhancing credibility and clarity in data presentation.
Cons
  • Users find the IBM SPSS Statistics expensive, with high costs posing challenges for students and smaller teams.
  • Users find the poor visualization in SPSS Statistics unappealing, often leading to the use of alternative tools for better graphics.
  • Users find the learning curve steep, with a cluttered UI and inadequate tutorials hindering their experience with SPSS.
  • Users find the outdated interface of IBM SPSS Statistics unappealing, impacting usability and overall experience negatively.
  • Users frequently face performance issues with SPSS, especially when handling large datasets, leading to slowdowns or crashes.

What Are Recent G2 Reviews of IBM SPSS Statistics?

What Are G2 Users Discussing About IBM SPSS Statistics?

Minitab Statistical Software

Minitab Statistical Software is a comprehensive statistical analysis solution designed to assist organizations in understanding their data, identifying opportunities for improvement, and making informed decisions. This software caters to users with varying levels of statistical expertise, offering an intuitive interface that simplifies advanced analysis while providing the necessary depth for analysts to tackle complex questions. With Minitab, users can explore and visualize data, test hypotheses, model relationships, and evaluate process performance through a robust suite of tools, including regression analysis, ANOVA, design of experiments, time series analysis, control charts, capability analysis, and reliability analysis. Targeted at a diverse audience that includes data analysts, quality improvement professionals, and engineers, Minitab is particularly valuable in industries such as manufacturing, healthcare, and R&D. Its guided features, such as the Assistant and Graph Builder, empower users to select the most appropriate analyses for their data and interpret results effectively, making it easier to derive actionable insights. One of the standout features of Minitab is its integration with Minitab Solution Center, a connected, cloud-based platform that enhances the overall analytical process. This platform allows teams to prepare and explore data, conduct statistical analyses, create interactive dashboards, and organize project workflows. By facilitating collaboration and communication, the Solution Center helps teams transition from problem identification to evaluating potential solutions, thus streamlining the entire process of data-driven decision-making. The capabilities offered in Minutab Solution Center work in tandem to provide a cohesive experience for teams engaged in analytical projects. Users can investigate patterns and sources of variation, share insights with stakeholders, and utilize results to inform decisions and drive improvements. Depending on their subscription level, organizations can also access additional tools for process mapping, predictive analytics, and advanced experimentation, further enhancing their analytical capabilities. Minitab Statistical Software stands out in its category by combining user-friendly features with powerful analytical tools, making it an essential resource for organizations aiming to leverage data for strategic decision-making and continuous improvement.

Average Rating: 4.6/5.0

Total Reviews: 221

How Do G2 Users Rate Minitab Statistical Software?

  • Quality Control: 8.2/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.3/10 (Category avg: 8.4/10)
  • Data Sampling: 8.4/10 (Category avg: 8.6/10)

Who Is the Company Behind Minitab Statistical Software?

  • Seller: Minitab
  • Company Website:
  • Year Founded: 1972
  • HQ Location: State College, Pennsylvania, United States
  • LinkedIn® Page: www.linkedin.com
    732 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Quality Manager
  • Top Industries: Automotive, Manufacturing
  • Company Size: 46% Large, 32% Medium

What Do G2 Reviewers Say About Minitab Statistical Software?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Minitab, finding data analysis simple and intuitive for reporting.
  • Users love the intuitive data analysis tools of Minitab, praising its rich visuals and user-friendly features.
  • Users appreciate the ease of statistical analysis with Minitab, highlighting its user-friendly tools and accurate results.
  • Users appreciate the intuitive visuals and user-friendly interface of Minitab, making statistical analysis effortless and efficient.
  • Users value Minitab's robust analysis capabilities, simplifying complex data interpretation for informed decision-making.
Cons
  • Users find Minitab's licensing to be expensive, especially for intermittent use that doesn't justify the cost.
  • Users find the learning curve steep, requiring significant effort to fully utilize Minitab's features efficiently.
  • Users find Minitab to be not user-friendly, particularly struggling with editing graphs and navigating its complex interface.
  • Users find the complexity of Minitab frustrating, as too many options and clicks hinder usability and efficiency.
  • Users feel limited by the restricted features and lack of support in Minitab Statistical Software.

What Are Recent G2 Reviews of Minitab Statistical Software?

What Are G2 Users Discussing About Minitab Statistical Software?

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Posit Team

Posit is a Public Benefit Corporation building open-source software and an enterprise data science platform. We created the RStudio IDE, Shiny, Positron, and Quarto — tools used by millions of data scientists, machine learning engineers, and researchers worldwide, including teams at 25% of the Fortune Global 100. Our commercial products help organizations put those tools into production: Posit Workbench provides centralized development environments supporting Positron, RStudio, VS Code, and Jupyter; Posit Connect handles publishing and deployment for Shiny, AI applications, Streamlit, Dash, FastAPI, Flask, Bokeh, and more; and Posit Package Manager provides security-compliant package management for R and Python.

Average Rating: 4.5/5.0

Total Reviews: 569

How Do G2 Users Rate Posit Team?

  • Quality Control: 8.7/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.9/10 (Category avg: 8.4/10)
  • Data Sampling: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Posit Team?

  • Seller: Posit
  • Year Founded: 2009
  • HQ Location: Boston, US
  • LinkedIn® Page: www.linkedin.com
    439 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Research Assistant, Graduate Research Assistant
  • Top Industries: Higher Education, Information Technology and Services
  • Company Size: 49% Large, 26% Medium

What Do G2 Reviewers Say About Posit Team?

AI-generated summary from verified user reviews

Pros
  • Users commend Posit Team for its ease of use, enabling smooth workflows and efficient data analysis without unnecessary distractions.
  • Users praise the ease of use and integration in Posit, enhancing productivity and focus on data analysis.
  • Users value Posit Team's strong commitment to open source, enhancing their experience with excellent software and community support.
  • Users commend the reliable customer support of Posit Team, making their data science journey seamless and efficient.
  • Users value the easy integrations of Posit Team, enhancing their workflow and simplifying setups with other tools.
Cons
  • Users experience slow performance with large datasets, affecting workflow and necessitating improvements for a smoother usage.
  • Users find the learning curve challenging, especially for beginners trying to grasp advanced features initially.
  • Users often face performance issues with Posit, particularly when handling larger datasets and needing more powerful hardware.
  • Users find the steep learning curve of Posit Team challenging, especially for beginners navigating advanced features.
  • Users experience lagging performance with Posit, particularly with large datasets, impacting productivity and workflow continuity.

What Are Recent G2 Reviews of Posit Team?

What Are G2 Users Discussing About Posit Team?

Qualtrics Market Research

Decision-grade insights at business speed. The AI-native research platform where research becomes the thing every decision runs through — not the thing every decision waits for. Most organizations are making high-stakes decisions — product launches, market entry, pricing, campaigns — without the market intelligence to back them up. Not because teams lack expertise, but because the tools and timelines they're working with were built for a slower era, and business decisions can't wait. • Eight to twelve weeks from question to answer. • Five to seven disconnected vendors per study. • Insights that arrive after the decision has already been made. • Business teams route around research — using unvalidated generic AI tools. Qualtrics Market Research replaces that infrastructure. We're the only platform where research expertise, validated methodology, and AI are natively embedded, not bolted on — built on 20+ years of experience insights and trained on millions of proprietary and unique market research survey responses that generic AI tools can’t replicate. Research platform, human and synthetic panels, advanced methodology, and AI-powered synthesis — integrated natively, not stitched together. And uniquely: research sits in the same system as CX and EX data, closing the loop between insight and measurable business outcomes in a way no agency or point solution can. The result: research shifts from scarcity to abundance. • Decision-grade insights in 24–48 hours instead of 6–8 weeks. • Research costs cut 50–85%. • Insights compound into institutional knowledge instead of disappearing into slide decks. • Research becomes the thing every business decision runs through. Customers see the difference quickly. • Gabb cut time-to-insight from 7 days to 4 hours and runs research at 50% lower cost. • Navy Federal Credit Union delivers strategic research in under 4 hours versus 5 days. • Workday generated 1,700 product improvement ideas in 3 months. • Booking.com cut fielding costs 50% with synthetic panels. • Victoria's Secret runs 200%+ more research projects on the same team. • Across deployments, Nucleus Research finds an average 100% ROI with 1.5-year payback. Qualtrics is also named a Strong Performer in The Forrester Wave™ for Experience Research Platforms (https://www.qualtrics.com/ebooks-guides/experience-research-wave-report/). _____________________________________________________________________________________ Why teams choose Qualtrics Market Research 1) Research platform + research expertise + research-grade AI — purpose-built to work together Most platforms give you survey software. Qualtrics gives you a research system. 20+ years of market research expertise embedded in the platform itself. AI trained on real market research data, not internet scraping. Panel access, study design, advanced analytics, and synthesis — integrated natively, not stitched together through APIs. And when you need to connect to your BI tools (Tableau, Power BI, Looker) or bring in specialized panels, Qualtrics is built to integrate, not replace. Agencies have the expertise but not the platform. DIY tools have the platform but not the expertise. Generic AI moves fast but has no research foundation. Qualtrics is the only option where all three exist natively — and plays well with the rest of your stack. 2) The only ecosystem that connects research to CX, EX, and operational data Research sits in the same system as the experience data your organization already collects — CX satisfaction scores, EX engagement metrics, operational performance data. Research questions can be triggered by what's happening in your programs. Findings can be validated against real business outcomes. You can prove research ROI by connecting insights to measurable results. No agency, no specialized MR platform, and no AI tool offers this natively — and it cannot be replicated by stitching tools together. This closes the loop between insight and outcome in a way no one else can. 3) Governance that scales research without diluting it The risk of research democratization is confident conclusions built on flawed inputs — more teams running studies, fewer with methodology expertise to run them well. Qualtrics is the only platform with built-in guardrails that prevent flawed studies from being fielded, a published validation framework for synthetic data that survives stakeholder scrutiny, and centralized visibility that lets research leaders see and govern everything running across the organization. Fast and governed. Scaled and rigorous. That combination doesn't exist anywhere else. _____________________________________________________________________________________ What you can do with Qualtrics Market Research Move from project to platform. Research becomes always-on infrastructure, not a request queue. Continuous tracking, always-available findings, and AI that surfaces what teams already know before they ask. Every study compounds in Research Hub — the 10th study on a topic makes the 1st study more valuable, not obsolete. Research Agent lets any team member get validated answers without a trained researcher in the room — so research scales beyond the research team without creating governance risk. Get decision-grade insights without the agency wait. Deliver insights in 24–48 hours instead of 6–8 weeks — so findings arrive before the decision, not after it. Synthetic panels compress directional research from weeks to hours at 50% lower cost. Apply advanced methodology (Conjoint with HB analysis, MaxDiff with TURF, Van Westendorp, Gabor-Granger) without an agency — built into the platform so the economics of high-quality research change permanently. AI handles transcript coding, theme detection, and summary generation, so researchers spend their time on interpretation, not mechanics. Govern research as it scales. Built-in methodology guardrails prevent flawed studies from being fielded — Research Agent (early access) enforces best practices at the point of study creation, not after results come back. Federated permissions and branded templates let every team operate within shared quality standards. Audit trails, AI transparency, and a published synthetic validation framework (Generalization, Data Shape, Diversity, Transferability) provide the provenance enterprise stakeholders will ask about. SOC 2, GDPR, HITRUST, ISO 27001, and FedRAMP round out the compliance posture procurement teams already know how to approve. _____________________________________________________________________________________ Key Qualtrics Market Research capabilities • Research hub — AI-powered search and synthesis across every study, including external documents; cross-study intelligence surfaces patterns automatically • Advanced survey tools — Drag-and-drop survey builder, advanced logic, quota management, support for 100+ question types, and PhD-backed templates • Research agent (early access) — AI-guided study scoping for Conjoint and MaxDiff, questionnaire drafting, plain-language Q&A against your accumulated research library • Synthetic panels — Launch studies instantly to pre-test survey designs, screen dozens of ideas, explore new populations, or extend first-wave findings with simulated row-level responses from research- grade AI that replicate real-world audience patterns • Integrated human panels — reach 200M+ vetted respondents across 200+ global markets through a curated network of 30+ panel partners, all accessible in the platform • UX research - Moderated and unmoderated user testing, card sorting and tree testing on the same platform as other market research capabilities. • Advanced methodology — Conjoint (CBC with HB analysis), MaxDiff with TURF, Van Westendorp PSM, Gabor-Granger, segmentation, brand tracking, concept testing • AI summary — automated transcript coding, theme detection, and highlight reel generation for qualitative work • Video & audio analysis — Analyzes thousands of open-text responses and automatically surfaces key themes, sentiment trends, and representative quotes with AI. • Conversational feedback — Uncover layers of valuable context with intelligent follow-up questions that dynamically adapts to customer input • ExpertReview — AI-driven survey quality and methodology checks at the point of design • Stats iQ + Text iQ — AI-powered statistical analysis and open-end text analytics CX + EX + MR integration — research connects natively to experience programs, the only platform that does • Prebuilt XM solutions — survey-in-a-box for brand tracking, concept testing, message testing, A&U, and UX research •Advanced analysis — Crosstabs and customizable reporting dashboards REST API, multi-channel distribution including email and SMS, WCAG 2.0 compliant • Enterprise governance — federated permissions, branded templates, audit trails, AI transparency, bias auditing • System integrations — Salesforce, Snowflake, Tableau, Power BI • Compliance — SOC 2, GDPR, HITRUST, ISO 27001, FedRAMP _____________________________________________________________________________________ - ABOUT QUALTRICS Qualtrics is the AI-powered experience and research platform organizations use to understand customers, employees, and markets — and act on what they learn. Across customer experience, employee experience, and market research, the Qualtrics platform combines proprietary AI, PhD-backed methodology, and the world's most flexible feedback technology to help teams design better products, deliver better experiences, and make better decisions, faster. _____________________________________________________________________________________ - RELATED QUALTRICS PRODUCTS Qualtrics Customer Experience Hear every customer's voice, fix every broken experience, and increase loyalty and lifetime value. Combines an AI-powered listening engine, predictive intelligence, and closed-loop action capabilities so teams can move beyond measurement to drive change across the entire customer journey. https://www.g2.com/products/qualtrics-customer-experience/reviews Qualtrics Employee Experience Gather continuous feedback at every employee moment that matters and take action to improve engagement, talent planning, productivity, and innovation. Pairs AI-driven analytics and IO-psychology-based decision tools with guided manager action planning and real-time automated workflows. https://www.g2.com/products/qualtrics-employee-experience/reviews

Average Rating: 4.4/5.0

Total Reviews: 2,919

How Do G2 Users Rate Qualtrics Market Research?

  • Quality Control: 8.5/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.5/10 (Category avg: 8.4/10)
  • Data Sampling: 8.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Qualtrics Market Research?

  • Seller: Qualtrics
  • Company Website:
  • Year Founded: 2002
  • HQ Location: Provo, UT
  • LinkedIn® Page: www.linkedin.com
    11,647 employees on LinkedIn®
  • Ownership: NASDAQ: XM

Who Uses This Product?

  • Who Uses This: Student, Research Assistant
  • Top Industries: Higher Education, Education Management
  • Company Size: 45% Large, 33% Medium

What Do G2 Reviewers Say About Qualtrics Market Research?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in Qualtrics, finding it intuitive for creating customized surveys and gaining insights.
  • Users value the in-depth and relevant survey creation features of Qualtrics, enabling powerful insights for research needs.
  • Users highly value the flexible survey design and advanced analytics of Qualtrics for actionable insights and research efficiency.
  • Users appreciate the intuitive design of Qualtrics, enabling easy creation of complex surveys and efficient data analysis.
  • Users appreciate the ease of creating surveys, enjoying the flexible design tools and efficient data analysis features.
Cons
  • Users find survey issues in Qualtrics, noting complexity in large datasets, disqualification risks, and limited features.
  • Users find the survey limitations of Qualtrics cumbersome, impacting the overall ease of use and collaboration.
  • Users face a steep learning curve with Qualtrics, particularly regarding advanced features and analytics for new users.
  • Users find limited customization options in Qualtrics cumbersome, particularly with advanced analytics and reporting features.
  • Users express concerns about pricing issues as it can be expensive for smaller teams and complex to manage.

What Are Recent G2 Reviews of Qualtrics Market Research?

What Are G2 Users Discussing About Qualtrics Market Research?

KNIME

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

Average Rating: 4.5/5.0

Total Reviews: 126

How Do G2 Users Rate KNIME?

  • Quality Control: 8.4/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.5/10 (Category avg: 8.4/10)
  • Data Sampling: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind KNIME?

  • Seller: KNIME
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Zurich, Switzerland
  • LinkedIn® Page: www.linkedin.com
    245 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 43% Large, 32% Medium

What Do G2 Reviewers Say About KNIME?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in KNIME invaluable, allowing non-technical individuals to efficiently build workflows.
  • Users love the coding ease of KNIME, making data analysis accessible to both beginners and non-technical users.
  • Users find KNIME to have a user-friendly learning curve, enabling quick access to data solutions without coding skills.
  • Users find KNIME to be a user-friendly learning experience that simplifies complex data analysis without coding.
  • Users appreciate the user-friendly data visualization tools of KNIME, making complex tasks accessible for all skill levels.
Cons
  • Users find the initial learning difficulty in KNIME challenging, especially for those new to data science concepts.
  • Users often face memory availability issues with KNIME, impacting performance and usability, especially with large files.
  • Users often face storage limitations, experiencing memory availability issues and slow performance with large files in KNIME.
  • Users feel that data management issues like file handling and reading from databases hinder their experience with KNIME.
  • Users note the lack of learning resources for KNIME, which hinders their ability to fully utilize the tool.

What Are Recent G2 Reviews of KNIME?

What Are G2 Users Discussing About KNIME?

OriginPro

Origin is a user-friendly and easy-to-learn software application that provides data analysis and publication-quality graphing capabilities tailored to the needs of scientists and engineers. OriginPro offers extended analysis tools for Peak Fitting, Surface Fitting, Statistics, Signal Processing and Image Handling. Along with general statistical tools such as descriptive statistics, T-tests, ANOVA, and survival analysis, OriginPro also offers advanced Time Series analysis and Quality Improvement tools including DOE, SPC, and MSA. Users can customize operations such as importing, graphing and analysis, all from the GUI. Graphs, analysis results and reports update automatically when data or parameters change. This allows for batch analysis of multiple files or data sets without the need for programming.

Average Rating: 4.7/5.0

Total Reviews: 139

How Do G2 Users Rate OriginPro?

  • Quality Control: 7.6/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.3/10 (Category avg: 8.4/10)
  • Data Sampling: 9.1/10 (Category avg: 8.6/10)

Who Is the Company Behind OriginPro?

  • Seller: OriginLab Corp.
  • Company Website:
  • Year Founded: 1992
  • HQ Location: Northampton, MA
  • LinkedIn® Page: www.linkedin.com
    33 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Research Scientist
  • Top Industries: Research, Higher Education
  • Company Size: 45% Large, 34% Small

What Do G2 Reviewers Say About OriginPro?

AI-generated summary from verified user reviews

Pros
  • Users value the versatile tools for data analysis and visualization that enhance interaction with research results in OriginPro.
  • Users highlight the versatile data analysis capabilities of OriginPro, making it ideal for presentations and publications.
  • Users highlight the ease of use of OriginPro, valuing its intuitive GUI and straightforward analysis capabilities.
  • Users love the dynamic visualization capabilities of OriginPro, enhancing their data analysis and presentation experiences.
  • Users value the intuitive graphical visualization in OriginPro, enhancing their analysis experience without coding requirements.
Cons
  • Users face a steep learning curve with OriginPro, noting challenges in navigation and interface familiarity.
  • Users find the interface not user-friendly, struggling with column manipulation and features, especially on Mac systems.
  • Users find the complexity of column manipulation in OriginPro can hinder a smooth data analysis experience.
  • Users find the subscription expensive and note high maintenance costs for the premium features of OriginPro.
  • Users cite limited flexibility in graphing speed and formula functionality, hindering their overall experience with OriginPro.

What Are Recent G2 Reviews of OriginPro?

What Are G2 Users Discussing About OriginPro?

JMP

JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect. To see a full list of data connectors please visit https://www.jmp.com/en/software/analytic-workflow/data-connectors

Average Rating: 4.5/5.0

Total Reviews: 206

How Do G2 Users Rate JMP?

  • Quality Control: 8.6/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.7/10 (Category avg: 8.4/10)
  • Data Sampling: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind JMP?

Who Uses This Product?

  • Who Uses This: Student
  • Top Industries: Higher Education, Information Technology and Services
  • Company Size: 42% Large, 33% Small

What Do G2 Reviewers Say About JMP?

AI-generated summary from verified user reviews

Pros
  • Users praise JMP for its ease of use, enabling effortless data exploration and visualization without complicated coding.
  • Users appreciate the ease of data visualization in JMP, facilitating clear insights and effective analysis without coding.
  • Users appreciate the ease of statistical analysis with JMP, allowing straightforward exploration and visualization of data.
  • Users appreciate the intuitive data visualization in JMP, allowing easy exploration and insight without complex coding.
  • Users praise the intuitive and interactive user interface of JMP, making data analysis and visualization effortless.
Cons
  • Users find JMP to be expensive, making it a challenge for individuals and small organizations with tight budgets.
  • Users find the learning curve steep, especially those less familiar with statistical analysis or coding-based tools.
  • Users find JMP offers limited flexibility in integrations and available models, restricting their analytical capabilities.
  • Users find JMP has a steep learning difficulty, requiring time and effort to master its advanced features.
  • Users experience limitations in storage with JMP, facing challenges in model availability and integration with other tools.

What Are Recent G2 Reviews of JMP?

What Are G2 Users Discussing About JMP?

XLSTAT

The leading data analysis and statistical solution for Microsoft Excel®. XLSTAT is a powerful yet flexible Excel data analysis add-on that allows users to analyze, customize and share results within Microsoft Excel. With over 250 standard to advanced statistical features available, XLSTAT is the preferred tool for statistical analysis in businesses and universities, large and small, and for 110,000+ users in over 120 countries across the world.

Average Rating: 4.7/5.0

Total Reviews: 46

How Do G2 Users Rate XLSTAT?

  • Quality Control: 8.8/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.6/10)
  • Survival Analysis: 7.4/10 (Category avg: 8.4/10)
  • Data Sampling: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind XLSTAT?

  • Seller: Lumivero
  • Year Founded: 1995
  • HQ Location: Denver, CO
  • LinkedIn® Page: www.linkedin.com
    296 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Research, Higher Education
  • Company Size: 57% Small, 27% Large

What Do G2 Reviewers Say About XLSTAT?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of XLSTAT, highlighting its intuitive GUI and quick implementation capabilities.
  • Users appreciate the excellent graphical visualization in XLSTAT, making data interpretation simple and client-friendly.
  • Users appreciate the seamless sensory data analysis offered by XLSTAT, enhancing efficiency and user experience in statistical tasks.
  • Users value the excellent customer support provided by XLSTAT, enhancing their overall experience and satisfaction.
  • Users value the seamless sensory data analysis functionality in XLSTAT, which simplifies their analytical processes significantly.
Cons
  • Users find the high cost of XLSTAT prohibitive, especially for students and low-income individuals.
  • Users find the cost of licenses to be prohibitively high, especially for the extended analysis version.

What Are Recent G2 Reviews of XLSTAT?

What Are G2 Users Discussing About XLSTAT?

Spotfire Analytics

Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packaging options tailored to meet the diverse needs of teams at various stages of their visual data science journey. Turn raw data into real-time decisions with powerful, interactive visual analytics with Spotfire® Analytics. Spotfire Analytics is designed for business agility, enabling every user to explore data visually, uncover patterns quickly, and make confident, data-driven decisions without writing a single line of code. As a self-service visual data science solution, it empowers teams across roles and departments to gain fast, actionable insights that drive impact. With its no-code interactive dashboards and rich visual exploration capabilities, Spotfire Analytics connects natively to hundreds of cloud, on-premises, and real-time data sources. Built-in geoanalytics extend the power of analysis with multi-layer mapping and seamless integration of spatial data, while data wrangling and transformation can be performed directly within the visual interface, making it easy to clean, shape, and blend data as you analyze. AI-assisted recommendations and anomaly detection help uncover hidden patterns, suggest the most meaningful visualizations, and accelerate the path to discovery. Customizable visualizations, workflows, and an intuitive interface ensure that insights are not only easier to create but also easier to share. With seamless collaboration features, Spotfire Analytics enables teams to work together, align on insights, and act decisively. Whether the goal is to analyze trends, detect anomalies, or unlock location-based intelligence, Spotfire Analytics delivers the speed, flexibility, and depth needed to make smarter decisions with confidence. Explore and understand your data visually, uncover hidden insights, and build powerful analytics applications - all without writing a single line of code. Spotfire Analytics combines advanced interactive visualizations and intuitive data wrangling in one environment. Connect to hundreds of data sources, from files to real-time streaming data, and transform messy data directly within your visuals. Built-in AI recommendations help you find patterns, anomalies, and trends faster. With flexible visualizations, spatial analytics, and custom applications, anyone can turn raw data into actionable insights in minutes. Designed for business agility, Spotfire Analytics empowers every user to explore, analyze, and share results confidently - turning questions into decisions. Best for: Analysts, data-savvy professionals, and teams looking to explore and share data visually with maximum flexibility.

Average Rating: 4.2/5.0

Total Reviews: 328

How Do G2 Users Rate Spotfire Analytics?

  • Quality Control: 6.3/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.6/10)
  • Survival Analysis: 10.0/10 (Category avg: 8.4/10)
  • Data Sampling: 8.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Spotfire Analytics?

Who Uses This Product?

  • Who Uses This: Student, Manager
  • Top Industries: Oil & Energy, Information Technology and Services
  • Company Size: 52% Large, 26% Medium

What Do G2 Reviewers Say About Spotfire Analytics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the powerful data visualization capabilities of Spotfire Analytics, enabling easy understanding of complex datasets.
  • Users value the ease of use in Spotfire Analytics, enabling effortless data visualization and swift decision-making.
  • Users value the powerful integration capabilities of Spotfire Analytics, enhancing accuracy and visualization for complex datasets.
  • Users value the easy integrations of Spotfire Analytics, enhancing data accuracy and powering insightful analytics effortlessly.
  • Users admire the powerful integration with multiple data sources, enhancing analytics and streamlining decision-making processes.
Cons
  • Users find the learning curve steep, especially for newcomers, making initial use challenging despite its powerful features.
  • Users note that learning difficulty is significant for beginners, making adoption challenging without prior BI experience.
  • Users find Spotfire Analytics to be expensive, with high licensing and maintenance costs impacting smaller organizations.
  • Users find the steep learning curve of Spotfire Analytics challenging, especially for newcomers to BI tools.
  • Users find the complexity of Spotfire Analytics challenging, particularly those unfamiliar with data modeling and scripting.

What Are Recent G2 Reviews of Spotfire Analytics?

What Are G2 Users Discussing About Spotfire Analytics?

Grapher

Grapher™ is a full-function graphing application for scientists, engineers, and business professionals. With over 80 unique graph types, data is quickly transformed into knowledge. Virtually every aspect of the graph is customizable. Enhance your graph with legends, titles and labels, summation plots, graph magnifiers, and statistical reports. Grapher is used extensively by those who care deeply about the visual quality of their final plot.

Average Rating: 4.5/5.0

Total Reviews: 113

How Do G2 Users Rate Grapher?

  • Quality Control: 8.3/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.3/10 (Category avg: 8.4/10)
  • Data Sampling: 7.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Grapher?

Who Uses This Product?

  • Top Industries: Research, Environmental Services
  • Company Size: 39% Large, 33% Medium

What Are Recent G2 Reviews of Grapher?

What Are G2 Users Discussing About Grapher?

QI Macros SPC Add-in for Excel

Affordable, easy to use add-in for Excel that creates Control Charts, Histograms, Pareto Charts, and more. Your data is already in Excel, shouldn't your SPC software be there too? QI Macros is an all-in-one toolkit used by quality and process improvement professionals for more than 20 years. In addition to drawing charts you can run Statistical Tests, create Fishbone Diagrams and Value Stream Maps, and perform complex analysis like Gage R&R and DOE. You'll save time and look like an expert!

Average Rating: 4.5/5.0

Total Reviews: 28

How Do G2 Users Rate QI Macros SPC Add-in for Excel?

  • Quality Control: 8.5/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.4/10 (Category avg: 8.4/10)
  • Data Sampling: 8.7/10 (Category avg: 8.6/10)

Who Is the Company Behind QI Macros SPC Add-in for Excel?

Who Uses This Product?

  • Top Industries: Accounting
  • Company Size: 61% Small, 29% Medium

What Are Recent G2 Reviews of QI Macros SPC Add-in for Excel?

Stata

The complete statistical software for data science. Stata delivers everything you need for reproducible data analysis—powerful statistics, visualization, data manipulation, and automated reporting—all in one intuitive platform.

Average Rating: 4.3/5.0

Total Reviews: 163

How Do G2 Users Rate Stata?

  • Quality Control: 8.5/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.6/10 (Category avg: 8.4/10)
  • Data Sampling: 8.9/10 (Category avg: 8.6/10)

Who Is the Company Behind Stata?

  • Seller: StataCorp
  • Year Founded: 1985
  • HQ Location: College Station, TX
  • LinkedIn® Page: www.linkedin.com
    141 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Analyst, Research Assistant
  • Top Industries: Higher Education, Research
  • Company Size: 42% Large, 31% Medium

What Do G2 Reviewers Say About Stata?

AI-generated summary from verified user reviews

Pros
  • Users value the coding simplification in Stata, enabling easier data analysis and flexibility in usage.
  • Users praise the easy big data analysis and variety of built-in methods offered by Stata.
  • Users appreciate the easy handling of big data with simple coding and diverse analytical methods in Stata.
  • Users find STATA's flexibility in coding and ease of use highly beneficial for effective data management and monitoring.
  • Users find Stata's ease of installation beneficial, allowing for straightforward implementation in data management tasks.
Cons
  • Users find that Stata's memory usage can be excessive, leading to concerns during statistical analyses in the background.
  • Users often find poor customer support with Stata, leading to dissatisfaction and unresolved issues.
  • Users find the poor graphics of Stata unappealing, detracting from their overall experience with the software.

What Are Recent G2 Reviews of Stata?

What Are G2 Users Discussing About Stata?

Rapidminer SLC

Are SAS Language Programs Mission Critical for Your Business? Many organizations have developed SAS language programs over the years that are vital to their operations. IT and analytics managers are also under pressure to reduce costs and find alternatives for handling their SAS language requirements. Rapidminer SLC runs programs written with SAS language syntax without translation and without licensing other third-party products. Rapidminer SLC is built to handle high levels of throughput and reduces clients’ capital costs and operating expenses. Multi Language, Multi-Platform Solution Rapidminer SLC handles programs, workflows, and models that combine the SAS language and the SQL, Python, and R languages. Its built-in SAS language compiler runs SQL and SAS language code and utilizes Python and R compilers to run Python and R code and exchange Pandas and R data frames. Working on IBM mainframes and in the cloud, as well as on servers and workstations running a host of operating systems, Rapidminer SLC supports remote job submissions and can exchange data between mainframe, cloud, and on-premises installations. Feature-Rich SAS Language Support In addition, Rapidminer SLC doesn’t require any third-party middleware to process applications that contain the SAS language. Rapidminer SLC’s built-in SAS language compiler supports SAS language and macro syntax, and includes procedure support for statistics, time series analytics, operational research, machine learning, matrix manipulation, graphing, and output delivery. Additionally, users can use Rapidminer SLC in batch or standalone mode to execute programs and models or use it with Rapidminer Analytics Workbench, a GUI/IDE that provides both no-code (workflow) and code facilities to create, maintain, and execute programs and models and interactively explore their outputs.

Average Rating: 4.1/5.0

Total Reviews: 12

How Do G2 Users Rate Rapidminer SLC?

  • Quality Control: 8.1/10 (Category avg: 8.3/10)
  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.6/10)
  • Survival Analysis: 7.6/10 (Category avg: 8.4/10)
  • Data Sampling: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Rapidminer SLC?

Who Uses This Product?

  • Company Size: 75% Small, 17% Medium

What Do G2 Reviewers Say About Rapidminer SLC?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the smooth big data handling of Rapidminer SLC, transforming messy data into valuable insights effortlessly.
  • Users commend the responsive customer support of Rapidminer SLC, appreciating quick resolutions to their queries.
  • Users value the smooth data import process of Rapidminer SLC, allowing seamless connectivity and transformation of messy data.
  • Users commend the ease of installation for Rapidminer SLC, facilitating quick access to its features.
  • Users find the ease of use in Rapidminer SLC familiar and intuitive, enhancing their experience with analytics.
Cons
  • Users find the complexity of finding specific information challenging due to overwhelming search results and Python integration.
  • Users find the limited features of Rapidminer SLC restrict functionality compared to SAS software, impacting their experience.
  • Users find the help resources inadequate, making it difficult to identify missing functionalities in Rapidminer SLC.
  • Users face a steep learning curve in finding specific solutions for Rapidminer SLC and Altair Analytics Workbench online.
  • Users find Rapidminer SLC not user-friendly, struggling with difficult navigation and overwhelming search results.

What Are Recent G2 Reviews of Rapidminer SLC?

NumXL

NumXL is a suite of time series Excel add-ins. It transforms your Microsoft Excel application into a first-class time series software and econometrics tool, offering the kind of statistical accuracy offered by the far more expensive statistical packages. NumXL integrates natively with Excel, adding scores of econometric functions, a rich set of shortcuts, and intuitive user interfaces to guide you through the entire process. NumXL comes packed with scores of functions that you can easily access through the function wizard in Excel, as well as several wizards and shortcut UIs to facilitate the time series analysis process and automate the most common steps (e.g. summary stats, modeling, calibration, diagnosis, forecast, and more.) (1) Description Statistics (2) Statistical Testing. (3) Correlogram Analysis (4) Date & Calendar calculation (5) Brown's, linear & Winter's exponential smoothing (6) ARMA/ARIMA/SARIMA & X12ARIMA (7) ARMAX/SARIMA-X (8) GARCH, E-GARCH & GARCH-M (9) MLR, GLM & PCA (10) Spectral Analysis: DFT, IDFT, HP, BK, convolution & Periodogram (11) Utilities: Interpolation, Regex, etc.

Average Rating: 4.7/5.0

Total Reviews: 17

How Do G2 Users Rate NumXL?

  • Has the product been a good partner in doing business?: 9.6/10 (Category avg: 8.6/10)
  • Survival Analysis: 8.3/10 (Category avg: 8.4/10)
  • Data Sampling: 7.5/10 (Category avg: 8.6/10)

Who Is the Company Behind NumXL?

Who Uses This Product?

  • Company Size: 25% Large, 20% Medium

What Are Recent G2 Reviews of NumXL?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated March 3, 2025