Best Predictive Analytics Software for Small Business - Page 2

How Many Predictive Analytics Software Products Does G2 Track?

Total Products under this Category: 575

Category Stats (Nov 2026)

  • Average Rating: 4.44/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: IFS Copperleaf (+1.9%) - Among all products in this category, IFS Copperleaf recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Predictive Analytics Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 38,800+ Authentic Reviews
  • 575+ 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 Predictive Analytics Software

G2 Grid® for Predictive Analytics Software plotting products by satisfaction and market presence

Highlighted products: Tableau, SAS Viya, Adobe Analytics, Amazon Quick, IBM Cognos Analytics, Salesloft, Amazon Forecast, and GoodData.AI.

Underlying data: [Grid® JSON](https://www.g2.com/categories/predictive-analytics/grids.json?focus%5B%5D=tableau&focus%5B%5D=sas-sas-viya&focus%5B%5D=adobe-analytics&focus%5B%5D=amazon-quick&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=salesloft&focus%5B%5D=amazon-forecast&focus%5B%5D=gooddata-ai&segment=small-business)

DataRobot

DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company’s proven combination of cutting edge software and world-class AI implementation, training, and support services, empowers any organization – regardless of size, industry, or resources – to drive better business outcomes with AI.

Average Rating: 4.4/5.0

Total Reviews: 52

How Do G2 Users Rate DataRobot?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.9/10)
  • AI Text Summarization: 10.0/10 (Category avg: 8.1/10)
  • Algorithms: 8.9/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.3/10 (Category avg: 8.1/10)

Who Is the Company Behind DataRobot?

  • Seller: DataRobot
  • Year Founded: 2012
  • HQ Location: Boston, Massachusetts
  • LinkedIn® Page: www.linkedin.com
    886 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 51% Small, 38% Medium

What Are Recent G2 Reviews of DataRobot?

Alteryx

Alteryx is the agentic analytics and automation company that helps organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business, the Alteryx One platform is designed to work across an organization’s existing data and technology ecosystem. It enables business users to produce AI-ready datasets and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights. This business logic stays visible, understandable, repeatable, and auditable (VURA), so that teams can automate data-intensive workflows without coding. Alteryx closes the last-mile gap between data platforms and the decisions and operations that run the business—giving AI the trusted business context it needs to deliver reliable results. Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, they run more than 380 million workflows on Alteryx each year.

Average Rating: 4.6/5.0

Total Reviews: 932

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.2/10 (Category avg: 8.1/10)
  • Algorithms: 8.3/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.0/10 (Category avg: 8.1/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 61% Large, 22% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Alteryx, enabling them to work efficiently without coding expertise.
  • Users appreciate the automation capabilities of Alteryx, enabling efficient workflows and streamlined data processing.
  • Users find Alteryx to be super-intuitive, making complex data analysis and migration tasks significantly easier.
  • Users find Alteryx to be super-intuitive and easy to learn, greatly simplifying their data analysis processes.
  • Users commend Alteryx for its efficiency, with quick workflows and time savings in data preparation and automation.
Cons
  • Users find the expensive licensing costs of Alteryx a barrier for wider adoption and utilization.
  • Users find the learning curve steep, requiring time to grasp all the tools effectively.
  • Users are frustrated with missing features like improved email notifications and bugs in tools during transitions.
  • Users find that mastering advanced tools in Alteryx requires time, affecting overall ease of use.
  • Users experience slow performance with large workflows on Alteryx, impacting efficiency and usability significantly.

What Are Recent G2 Reviews of Alteryx?

Qlik Predict

Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simple user experience focused on augmenting their intuition through machine intelligence. With AutoML, you can easily generate machine learning models, make predictions, and plan decisions – all within an intuitive, code-free user interface. Machine learning (ML) is a branch of artificial intelligence (AI) focused on the process of recognizing patterns in historical data to predict outcomes in the future. ML uses historically observed data as an input, applies a mathematical process against that data, and creates an output called a machine learning model based on patterns in historical data. This model can then be used to make future predictions and test scenarios.

Average Rating: 4.4/5.0

Total Reviews: 78

How Do G2 Users Rate Qlik Predict?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.9/10)
  • AI Text Summarization: 6.7/10 (Category avg: 8.1/10)
  • Algorithms: 8.2/10 (Category avg: 8.6/10)
  • AI Text Generation: 6.7/10 (Category avg: 8.1/10)

Who Is the Company Behind Qlik Predict?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • LinkedIn® Page: www.linkedin.com
    4,399 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Who Uses This: Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Large, 31% Small

What Do G2 Reviewers Say About Qlik Predict?

AI-generated summary from verified user reviews

Pros
  • Users value the automation in Qlik Predict, streamlining model building and enhancing usability for all skill levels.
  • Users appreciate the user-friendly, no-code interface of Qlik Predict, enabling easy implementation of machine learning projects.
  • Users appreciate the seamless AI integration of Qlik Predict, enabling rapid deployment of predictive models effortlessly.
  • Users value the intuitive machine learning interface of Qlik Predict, enabling rapid model creation without coding expertise.
  • Users appreciate the user-friendly AI capabilities of Qlik Predict, enabling seamless, no-code predictive analytics integration.
Cons
  • Users find limited customization options in Qlik Predict, restricting advanced control over model development and deployment.
  • Users report deployment issues with Qlik Predict, citing limited flexibility for integrating external workflows beyond the Qlik ecosystem.
  • Users find Qlik Predict to have limited features, restricting customization and flexibility in deployment options.
  • Users note a lack of required knowledge in data science can hinder effective optimization and interpretation of Qlik Predict.
  • Users find tool limitations in Qlik Predict, as the no-code approach restricts customization and flexibility for advanced users.

What Are Recent G2 Reviews of Qlik Predict?

What Are G2 Users Discussing About Qlik Predict?

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IBM SPSS Modeler

The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scientists. Leading organizations worldwide rely on IBM for data discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets. The IBM SPSS Modeler empowers organizations to tap data assets and modern applications with complete, out-of-box algorithms and models, suited for hybrid, multi-cloud environments with robust governance and security posture. • Take advantage of open source based innovation including R or Python • Empower data scientists of all skills – programmatic and visual • Exploit multi-cloud approach - on-prem, public or private clouds • Start small and scale to enterprise-wide, governed approach

Average Rating: 4.0/5.0

Total Reviews: 128

How Do G2 Users Rate IBM SPSS Modeler?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.0/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.3/10 (Category avg: 8.1/10)

Who Is the Company Behind IBM SPSS Modeler?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM
  • Phone: 1-866-277-7488

Who Uses This Product?

  • Top Industries: Higher Education, Education Management
  • Company Size: 53% Large, 24% Medium

What Do G2 Reviewers Say About IBM SPSS Modeler?

AI-generated summary from verified user reviews

Pros
  • Users value the robust analytical modeling capabilities of IBM SPSS Modeler, enhancing their data manipulation and preparation tasks.
  • Users appreciate the seamless data connection in IBM SPSS Modeler, enhancing efficiency in data manipulation and analysis.
  • Users value the direct data connection in IBM SPSS Modeler, enabling seamless data manipulation and integration.
  • Users value the seamless data connection and manipulation features of IBM SPSS Modeler for enhanced analytics.
  • Users value the data visualization capabilities of IBM SPSS Modeler, enhancing seamless data manipulation and analysis.
Cons
  • Users believe the licensing fees are too expensive, making the cost per user quite high.
  • Users are concerned about the expensive licensing, noting that costs can be prohibitive for multiple users.

What Are Recent G2 Reviews of IBM SPSS Modeler?

What Are G2 Users Discussing About IBM SPSS Modeler?

Dataiku

Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI. Governance is part of the build rather than something bolted on afterward, so teams ship faster while keeping performance, cost, and risk under control. The result: AI that moves from experimentation to trusted, measurable execution now, not in 18 months.

Average Rating: 4.4/5.0

Total Reviews: 256

How Do G2 Users Rate Dataiku?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.1/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.7/10 (Category avg: 8.1/10)

Who Is the Company Behind Dataiku?

  • Seller: Dataiku
  • Company Website:
  • Year Founded: 2013
  • HQ Location: New York, NY
  • LinkedIn® Page: www.linkedin.com
    1,605 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Scientist, Data Analyst
  • Top Industries: Financial Services, Pharmaceuticals
  • Company Size: 58% Large, 22% Medium

What Do G2 Reviewers Say About Dataiku?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Dataiku, facilitating intuitive workflows for both coders and non-coders alike.
  • Users value the intuitive AI features of Dataiku, enhancing collaboration and streamlining data workflows effectively.
  • Users appreciate the intuitive usability of Dataiku, enhancing collaboration and speeding up AI project delivery.
  • Users value the easy integrations of Dataiku, enhancing collaboration and streamlining workflows effectively.
  • Users value the productivity improvement in Dataiku, enjoying streamlined AI project workflows and enhanced collaboration.
Cons
  • Users find the steep learning curve of Dataiku daunting, especially for first-time and non-technical users.
  • Users find the steep learning curve of Dataiku challenging, especially for smaller teams or simpler projects.
  • Users experience slow performance when managing large datasets, which impacts efficiency and overall user satisfaction.
  • Users find the difficult learning experience due to Dataiku's overwhelming features and steep learning curve for newcomers.
  • Users find Dataiku expensive, with high costs deterring small companies and limiting accessibility for individual users.

What Are Recent G2 Reviews of Dataiku?

What Are G2 Users Discussing About Dataiku?

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?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.6/10 (Category avg: 8.1/10)
  • Algorithms: 8.2/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.6/10 (Category avg: 8.1/10)

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?

IBM Watson Studio

IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale trustworthy AI and optimize decisions. Build, run, and manage AI models on any cloud through an automated end-to-end AI lifecycle--simplifying experimentation and deployment, speeding up data exploration and preparation, and improving model development and training. Govern and monitor models to mitigate drift and bias, and manage model risk. Build a ModelOps practice that synchronizes application and model pipelines to operationalize responsible, explainable AI across your enterprise. As a key offering of IBM Cloud Pak for Data, a unified data and AI platform, Watson Studio integrates seamlessly with data management services, data privacy and security capabilities, AI application tooling, open source frameworks, and a robust technology ecosystem. It unites teams and empowers businesses to build the modern information architecture that AI requires and infuse it across the organization. IBM Watson Studio is code-optional, allowing both data scientists and business analysts to work on the same platform by providing the best of open source tools along with visual, drag-and-drop capabilities. It enables organizations to tap into data assets and inject predictions into business processes and modern applications—helping them maximize their business value. It's suited for hybrid multicloud environments that demand mission-critical performance, security, and governance. Features include: • AutoAI that eliminates time-consuming, repetitive tasks by automating data preparation, model development, feature engineering and hyperparameter optimization. • Text Analytics for uncovering insights from unstructured data • Drag-and-drop visual model-building with SPSS Modeler • Broad data access – flat files, spreadsheets, major relational databases • Sophisticated graphics engine for building stunning visualizations • Support for Python 3 Notebooks Watson Studio is available via several deployment options: • IBM Cloud Pak for Data – An open, extensible data and AI platform that runs on any cloud • IBM Cloud Pak for Data System – A hybrid cloud, on-premises platform-in-a-box • IBM Cloud Pak for Data as a Service – A set of IBM Cloud Pak for Data platform services fully managed on the IBM Cloud

Average Rating: 4.2/5.0

Total Reviews: 164

How Do G2 Users Rate IBM Watson Studio?

  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.1/10 (Category avg: 8.6/10)
  • AI Text Generation: 9.3/10 (Category avg: 8.1/10)

Who Is the Company Behind IBM Watson Studio?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM
  • Phone: 1-866-277-7488

Who Uses This Product?

  • Who Uses This: Software Engineer, CEO
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% Large, 31% Small

What Do G2 Reviewers Say About IBM Watson Studio?

AI-generated summary from verified user reviews

Pros
  • Users value the Auto AI capability of IBM Watson Studio for significantly reducing manual work and enhancing productivity.
  • Users admire the Auto AI capability of IBM Watson Studio, significantly reducing manual tasks and enhancing productivity.
  • Users appreciate the user-friendly interface of IBM Watson Studio, making it easy to start and collaborate on projects.
  • Users appreciate the Auto AI capability of IBM Watson Studio, significantly reducing manual work and enhancing productivity.
  • Users value the easy AI integration of IBM Watson Studio, enhancing their data science experience significantly.
Cons
  • Users find the high costs of IBM Watson Studio challenging, especially for individuals and small startups.
  • Users find the steep learning curve of IBM Watson Studio challenging, hindering their ability to use the platform effectively.
  • Users find the steep learning curve of IBM Watson Studio challenging, especially for those new to the platform.
  • Users find the complex interface of IBM Watson Studio challenging, especially those who are new to the platform.
  • Users find the steep learning curve of IBM Watson Studio challenging, especially due to its complex interface.

What Are Recent G2 Reviews of IBM Watson Studio?

What Are G2 Users Discussing About IBM Watson Studio?

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?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.9/10)
  • AI Text Summarization: 10.0/10 (Category avg: 8.1/10)
  • Algorithms: 8.7/10 (Category avg: 8.6/10)
  • AI Text Generation: 10.0/10 (Category avg: 8.1/10)

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?

TrendMiner

TrendMiner offers a fast, powerful, and intuitive industrial analytics & AI software platform. With a focus on highly digitized manufacturing industries, energy companies, and organizations with operations that need to maintain controlled environments. TrendMiner combines self-service, low-code data analysis for time series and event data with sophisticated machine learning (ML) and Agentic AI tools to deliver industrial data visualization, monitoring, and predictive capabilities. TrendMiner, a Vercore company, was founded in 2008 with a global headquarters located in Belgium, and offices in the U.S., Germany, Spain, and the Netherlands. TrendMiner has strategic partnerships with Amazon, Microsoft, SAP, GE Digital, Siemens, and Aveva, and offers standard integrations with a wide range of data platforms such as AVEVA PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian, Canary, and Aveva Historian.

Average Rating: 4.6/5.0

Total Reviews: 199

How Do G2 Users Rate TrendMiner?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.9/10)
  • AI Text Summarization: 6.7/10 (Category avg: 8.1/10)
  • Algorithms: 7.8/10 (Category avg: 8.6/10)
  • AI Text Generation: 6.6/10 (Category avg: 8.1/10)

Who Is the Company Behind TrendMiner?

  • Seller: TrendMiner
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Hasselt, Flemish Region
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Process Engineer, Process Analytics Engineer
  • Top Industries: Chemicals, Oil & Energy
  • Company Size: 51% Large, 35% Medium

What Do G2 Reviewers Say About TrendMiner?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of use of TrendMiner, allowing for quick monitoring and analysis of trends with new AI features.
  • Users highlight the impressive speed of TrendMiner, enabling instant data processing and efficient analysis without delays.
  • Users appreciate the dashboard trends for real-time monitoring and easy accessibility of data analysis.
  • Users appreciate the ease of use and integration in TrendMiner, enabling efficient real-time data analysis and visualization.
  • Users find the easy learning curve of TrendMiner invaluable, enabling efficient use without extensive training.
Cons
  • Users find the complex usability of TrendMiner challenging, especially with folder transfers and interface navigation.
  • Users find the difficult learning curve of TrendMiner challenging, hindering their ability to effectively utilize the platform.
  • Users find the learning curve steep with TrendMiner, requiring time and effort to grasp its advanced features.
  • Users find TrendMiner's limited accessibility on mobile devices to be a significant drawback, hindering usability in the field.
  • Users find the complexity of advanced functions in TrendMiner necessitating training and cumbersome system administration.

What Are Recent G2 Reviews of TrendMiner?

What Are G2 Users Discussing About TrendMiner?

Plotly Dash Enterprise

Dash is the trusted solution for operationalizing Python models, allowing data science teams to focus on data and models, while still producing and deploying enterprise-ready apps. What would typically require a team of back-end developers, front-end developers and IT can all be done with Dash. It enables data science teams to build, design, deploy, and securely manage data-driven applications that align with your business goals. Companies can deliver on their data, analytic, and AI initiatives quickly and effectively -- no JavaScript, CSS, CronJobs or DevOps required.

Average Rating: 4.8/5.0

Total Reviews: 36

How Do G2 Users Rate Plotly Dash Enterprise?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • Algorithms: 9.2/10 (Category avg: 8.6/10)

Who Is the Company Behind Plotly Dash Enterprise?

  • Seller: Plotly
  • Year Founded: 2013
  • HQ Location: Montréal, CA
  • LinkedIn® Page: www.linkedin.com
    103 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 47% Small, 31% Large

What Do G2 Reviewers Say About Plotly Dash Enterprise?

AI-generated summary from verified user reviews

Pros
  • Users love the easy drag-and-drop charting features of Plotly Dash Enterprise for creating beautiful visualizations efficiently.
  • Users love the coding ease of Plotly Dash Enterprise, enabling effortless creation of stunning visualizations with drag and drop.
  • Users appreciate the exceptional customer support of Plotly Dash Enterprise, enhancing their experience with prompt assistance.
  • Users appreciate the intuitive dashboard management of Plotly Dash Enterprise, enabling effortless creation of visually stunning dashboards.
  • Users love the ease of creating stunning data visualizations with Dash's intuitive drag-and-drop interface.

What Are Recent G2 Reviews of Plotly Dash Enterprise?

What Are G2 Users Discussing About Plotly Dash Enterprise?

SAS Enterprise Miner

SAS Enterprise Miner is a comprehensive data mining and predictive analytics software designed to streamline the process of developing descriptive and predictive models. It enables users to analyze vast amounts of data efficiently, uncovering patterns and relationships that inform better decision-making. With an intuitive graphical user interface, SAS Enterprise Miner facilitates the entire data mining process, from data preparation to model assessment, making advanced analytics accessible to both technical and non-technical users. Key Features and Functionality: - User-Friendly Interface: An interactive GUI allows users to build process flow diagrams, simplifying the modeling process. - Advanced Data Preparation: Tools for handling missing values, filtering outliers, and performing data transformations enhance data quality. - Diverse Modeling Techniques: Supports a wide range of algorithms, including decision trees, neural networks, and regression models, catering to various analytical needs. - Open Source Integration: Seamless integration with R enables users to perform data transformations and model training within the platform. - High-Performance Capabilities: Incorporates high-performance data mining nodes to boost processing efficiency. - Automated Scoring: Generates score code in multiple languages (SAS, C, Java, PMML) for deployment across various environments. - Model Comparison and Management: Features for comparing multiple models using lift curves and statistical diagnostics to identify the best-performing models. Primary Value and Solutions Provided: SAS Enterprise Miner empowers organizations to harness the full potential of their data by providing a robust platform for developing accurate predictive models. It addresses challenges such as fraud detection, risk minimization, resource demand forecasting, and customer attrition reduction. By automating and simplifying complex data mining tasks, it enables users to make informed, data-driven decisions, ultimately enhancing operational efficiency and competitive advantage.

Average Rating: 4.2/5.0

Total Reviews: 185

How Do G2 Users Rate SAS Enterprise Miner?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.4/10 (Category avg: 8.1/10)
  • Algorithms: 8.0/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.4/10 (Category avg: 8.1/10)

Who Is the Company Behind SAS Enterprise Miner?

  • Seller: SAS Institute
  • 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?

  • Top Industries: Higher Education, Information Technology and Services
  • Company Size: 60% Large, 28% Medium

What Do G2 Reviewers Say About SAS Enterprise Miner?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of installation in SAS Enterprise Miner, enabling quick setup for node-based analysis.
  • Users appreciate the ease of node-based analysis in SAS Enterprise Miner, enhancing their data modeling experience.
  • Users value the ease of node-based analysis in SAS Enterprise Miner, enhancing their data analysis experience.
Cons
  • Users find the learning curve steep when generating output to other SAS products, especially if inexperienced.
  • Users find the lack of user-friendliness in SAS Enterprise Miner challenging, especially when generating output to other products.
  • Users find the steep learning curve of SAS Enterprise Miner challenging, especially when generating outputs for other products.

What Are Recent G2 Reviews of SAS Enterprise Miner?

What Are G2 Users Discussing About SAS Enterprise Miner?

Qlik Sense

Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at https://www.qlik.com/us/

Average Rating: 4.4/5.0

Total Reviews: 762

How Do G2 Users Rate Qlik Sense?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.3/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.5/10 (Category avg: 8.1/10)

Who Is the Company Behind Qlik Sense?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • LinkedIn® Page: www.linkedin.com
    4,399 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Who Uses This: Consultant, Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Large, 41% Medium

What Do G2 Reviewers Say About Qlik Sense?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Qlik Sense, benefiting from intuitive interactions and efficient data integration.
  • Users appreciate the robust data visualization capabilities of Qlik Sense, enhancing their data analysis and insights.
  • Users value the impressive analytics capabilities of Qlik Sense, enabling effective data exploration and trend analysis.
  • Users commend the user-friendly interface and dynamic dashboards of Qlik Sense for effective data visualization and insight discovery.
  • Users appreciate Qlik Sense's robust data integration and usability, enhancing exploration and analysis of large datasets effectively.
Cons
  • Users find limited features in Qlik Sense, leading to challenges in dashboard creation and data management.
  • Users note the missing features in Qlik Sense, particularly the need for more automated data updates and extensions.
  • Users find Qlik Sense relatively expensive compared to alternatives like Power BI, impacting overall accessibility.
  • Users find data management cumbersome, especially regarding file handling and the need for manual data refreshing.
  • Users find the learning curve steep, making it challenging for beginners to efficiently navigate Qlik Sense.

What Are Recent G2 Reviews of Qlik Sense?

What Are G2 Users Discussing About Qlik Sense?

Domo

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: • Connecting and governing data across cloud data platforms and enterprise applications. • Building AI agents, apps, workflows, automations, dashboards, and analytics. • Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. • Supporting both low-code and pro-code development for business and technical teams. • Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

Average Rating: 4.3/5.0

Total Reviews: 1,078

How Do G2 Users Rate Domo?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®
  • Ownership: NASDAQ: DOMO

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Domo, appreciating its intuitive interface and straightforward data integration capabilities.
  • Users love Domo for its intuitive data visualization, making it easy to create dashboards and extract insights efficiently.
  • Users find Domo extremely intuitive, enabling quick dashboard creation and seamless integration of diverse data sources.
  • Users value the easy integrations of Domo, allowing seamless connection to numerous data sources for insightful analytics.
  • Users praise Domo's seamless integrations, enabling easy connections to various data sources for effective analytics and monitoring.
Cons
  • Users find the steep learning curve of Domo challenging, impacting onboarding and productivity for some staff.
  • Users find it challenging to keep up with missing features and updates, necessitating dedicated resources for tracking.
  • Users face significant data management issues, finding it challenging to secure, clean, and efficiently manage datasets in Domo.
  • Users find Domo's pricing to be expensive and confusing, especially as usage and storage requirements increase.
  • Users find Domo's complexity challenging, citing issues in data management and a lack of support for troubleshooting.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

Analytica

Analytica® is ideal for decision-makers who need the power of statistical tools combined with digital whiteboards. This way, everyone can visualize and understand how all of the factors, decisions, constraints, risks and objectives influence one another. This results in superior scenario planning, portfolio management, risk and financial modeling - especially for complex and dynamic problems. More reasons why Analytica® is consistently the all-in-one tool of choice: - Intelligent Arrays™ to gracefully handle multiple dimensions of data - Multiple options for risk management including Monte Carlo simulations - Powerful built-in tools for system dynamics, including feedback loops - Analyzing data and recommending a built-in solver for optimization - 3rd-party optimization solvers and managing results in our visual interface - Bi-directional integrations with Excel, databases and Python libraries - Quickly find and predict model errors and unintended feedback loops - Publish to the cloud for collaborating and making available to customers. The new clarity our visual interface brings also helps makes predicting model errors and unintended feedback loops much easier to identify. Analytica® is designed and supported by a friendly and responsive staff at Lumina Decision Systems Inc.

Average Rating: 4.8/5.0

Total Reviews: 32

How Do G2 Users Rate Analytica?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 8.9/10)
  • Algorithms: 9.8/10 (Category avg: 8.6/10)

Who Is the Company Behind Analytica?

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 67% Small, 18% Medium

What Do G2 Reviewers Say About Analytica?

AI-generated summary from verified user reviews

Pros
  • Users find Analytica intuitive and user-friendly, simplifying data modeling and enhancing overall efficiency in their workflows.
  • Users value the intuitive visual interface of Analytica, enhancing model structure comprehension and data manipulation ease.
  • Users praise the intuitive functionality of Analytica, enhancing ease of use and model accuracy significantly.
  • Users appreciate the high accuracy of Analytica, enabling precise data modeling and reliable decision-making effortlessly.
  • Users find Analytica's interface intuitive, facilitating easy model visualization and enhancing overall user experience.
Cons
  • Users feel the interface looks outdated and desire improvements for a more modern experience with Analytica.
  • Users find the interface outdated, wishing for a modernized design to enhance usability and appeal.
  • Users experience connectivity issues with Analytica, making data work challenging during unstable Internet conditions.
  • Users find the compatibility issues with other operating systems to be a significant drawback of Analytica.
  • Users face internet dependency challenges with Analytica, making data handling difficult during connectivity issues.

What Are Recent G2 Reviews of Analytica?

What Are G2 Users Discussing About Analytica?

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?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.3/10 (Category avg: 8.1/10)
  • Algorithms: 6.3/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.3/10 (Category avg: 8.1/10)

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?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated