Best Predictive Analytics Tools and Software - Page 2

How Many Predictive Analytics Software Products Does G2 Track?

Total Products under this Category: 425

Category Stats (Oct 2026)

  • Average Rating: 4.44/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Salesloft (+1.52%) - Among all products in this category, Salesloft recorded the largest rating increase compared to last month

Last updated: October 15, 2026

How Does G2 Rank Predictive Analytics Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 32,200+ Authentic Reviews
  • 425+ 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, Salesloft, SAS Viya, IBM Cognos Analytics, Adobe Analytics, Google Cloud BigQuery, Amazon Quick, and Alteryx.

Underlying data: [Grid® JSON](https://www.g2.com/categories/predictive-analytics/grids.json?focus%5B%5D=tableau&focus%5B%5D=salesloft&focus%5B%5D=sas-sas-viya&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=adobe-analytics&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=amazon-quick&focus%5B%5D=alteryx)

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: 253

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
  • Twitter: @dataiku
    22,917 Twitter followers
  • 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, 23% Medium

What Do G2 Reviewers Say About Dataiku?

AI-generated summary from verified user reviews

Pros
  • Users appreciate how Dataiku simplifies ML development, enabling quick training, evaluation, and understanding of data easily.
  • Users find Dataiku easy to use, simplifying ML development and helping detect opportunities and risks effortlessly.
  • Users value the ease of use in Dataiku, enabling collaboration and simplifying complex data processes for all skill levels.
  • Users appreciate the easy integrations of Dataiku, facilitating collaboration across diverse analytics tools and skill sets.
  • Users commend the productivity improvement brought by Dataiku’s visual recipes and robust tools for analytics projects.
Cons
  • Users find the learning curve steep, making it challenging for beginners to fully utilize Dataiku's advanced features.
  • Users find the steep learning curve challenging, especially for beginners navigating Dataiku's advanced features.
  • Users find the difficult learning curve challenging for beginners, impacting their ability to maximize the platform's potential.
  • Users face slow performance with Dataiku when managing large datasets, impacting efficiency and productivity.
  • Users find the pricing high for small companies and students, impacting accessibility for basic projects.

What Are Recent G2 Reviews of Dataiku?

What Are G2 Users Discussing About Dataiku?

Pecan

Pecan AI is a predictive analytics platform that helps business teams understand what’s likely to happen next, while there is still time to act. With Pecan’s Predictive AI Agent, teams can turn business questions into reliable predictions for use cases like customer churn, demand forecasting, and lifetime value, without relying on long, complex data science projects. The platform automatically handles data preparation, feature engineering, modeling, validation, and delivery, and provides transparent, explainable predictions that integrate into tools like Salesforce, HubSpot, Snowflake, and BI systems to drive real business outcomes.

Average Rating: 4.7/5.0

Total Reviews: 41

How Do G2 Users Rate Pecan?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.9/10)
  • Algorithms: 8.7/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.1/10 (Category avg: 8.1/10)

Who Is the Company Behind Pecan?

  • Seller: Pecan.ai
  • Company Website:
  • Year Founded: 2018
  • HQ Location: US, Israel
  • Twitter: @pecan_ai
    1,135 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail, Computer Software
  • Company Size: 49% Medium, 22% Large

What Do G2 Reviewers Say About Pecan?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Pecan, enabling quick model building without requiring deep expertise.
  • Users praise the excellent customer support from Pecan, which assists them effectively throughout their predictive modeling journey.
  • Users love the speed of development with Pecan, accelerating model deployment from months to weeks effortlessly.
  • Users value Pecan's effective problem-solving capabilities and exceptional support for leveraging data into actionable insights.
  • Users find Pecan's implementation ease exceptional, significantly accelerating model development with ample support and guidance.
Cons
  • Users face a learning difficulty that requires an intermediate understanding of SQL and data structures for effective use.
  • Users express a desire for deeper control over model selection and customization options in Pecan.
  • Users feel the limited features of Pecan restrict customization and control over model selection and optimization metrics.
  • Users face a steep learning curve with Pecan, particularly in grasping data structure and SQL requirements.
  • Users feel the limited customization restricts their ability to fine-tune models for specific use cases effectively.

What Are Recent G2 Reviews of Pecan?

Board

Board is the most trusted Agentic Planning Platform, combining business context, Continuous Planning, and efficient enterprise AI to deliver confident, aligned, and faster decisions. Built to complement your data and AI strategy, Board brings together enterprise data and external signals with planning models, business logic, domain expertise, and decision context. Continuous Planning continuously senses change, models scenarios and trade-offs, and aligns financial and operational plans. Within a single, governed platform, agentic AI understands how your business makes decisions, reasons effectively, recommends changes, and supports action with human oversight, helping leaders make explainable, accountable decisions that improve business outcomes.

Average Rating: 4.4/5.0

Total Reviews: 305

How Do G2 Users Rate Board?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 6.3/10 (Category avg: 8.1/10)
  • Algorithms: 8.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 6.7/10 (Category avg: 8.1/10)

Who Is the Company Behind Board?

  • Seller: Board International
  • Company Website:
  • Year Founded: 1994
  • HQ Location: Chiasso, Ticino
  • Twitter: @BoardSoftware
    27,073 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    948 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Group Controller
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Medium, 40% Large

What Do G2 Reviewers Say About Board?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Board, facilitating quick deployment and intuitive self-service interactions.
  • Users value the flexibility of Board, allowing customization to fit diverse business needs seamlessly.
  • Users value the centralized access to information, making board meetings efficient and focused on strategic discussions.
  • Users value the efficiency of Board, benefiting from faster deployment and streamlined meeting management.
  • Users appreciate the highly flexible customization of Board, allowing tailored solutions for diverse business needs.
Cons
  • Users experience slow performance with large datasets on Board, impacting efficiency and complicating the use of advanced features.
  • Users find that the learning curve for Board can be steep, particularly in configuration and advanced features.
  • Users find the missing features like layout exclusions limiting, impacting their overall experience with Board.
  • Users express frustration with poor visualization in Board, highlighting inefficiencies in dashboard design and data handling.
  • Users find the complexity of configuration in Board challenging, especially for new users and smaller teams.

What Are Recent G2 Reviews of Board?

What Are G2 Users Discussing About Board?

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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
  • Twitter: @qlik
    64,130 Twitter followers
  • 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 love the ease of use in Qlik Sense, enhancing their productivity with minimal IT support needed.
  • Users commend the robust data visualization capabilities of Qlik Sense, enhancing insights with its user-friendly interface.
  • Users appreciate the rapid development capabilities of Qlik Sense, enabling quick creation and deployment of analytics applications.
  • Users value the robust data visualization capabilities of Qlik Sense, enhancing their insights and business strategies.
  • Users value the versatile and user-friendly tools in Qlik Sense, enhancing data representation and insights across levels.
Cons
  • Users find the limited features of Qlik Sense restrict their ability to create custom visualizations effectively.
  • Users find the missing features in Qlik Sense restrictive, particularly lacking personal object additions and static report options.
  • Users find Qlik Sense expensive, which limits its accessibility despite its capabilities.
  • Users note the limited automation in data updates and desire better organization and visualization capabilities in Qlik Sense.
  • Users find the learning curve steep, especially with scripting functions and integration challenges for beginners.

What Are Recent G2 Reviews of Qlik Sense?

What Are G2 Users Discussing About Qlik Sense?

Rapidminer AI Studio

Rapidminer AI Studio is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization. Rapidminer AI Studio includes: - Full generative AI functionality with access to hundreds of large language models (LLMs). - Intuitive and powerful drag-and-drop canvases that give users code-like control without complexity. - Award-winning auto ML with automated clustering, predictive modeling, feature engineering, and time series forecasting. - Data connectivity, exploration, and preparation. - Deploy and manage AI projects and models at enterprise scale. - Collaborate with team members in the same environment without having to worry about overwriting each other's work. - Unify the entire data science lifecycle from data exploration and machine learning to model operations and visualization and deploy in the cloud. Rapidminer AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Rapidminer AI studio enables organizations to derive significant value from AI with minimal cost and operational impact.

Average Rating: 4.6/5.0

Total Reviews: 512

How Do G2 Users Rate Rapidminer AI Studio?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.0/10 (Category avg: 8.1/10)
  • Algorithms: 8.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.3/10 (Category avg: 8.1/10)

Who Is the Company Behind Rapidminer AI Studio?

Who Uses This Product?

  • Who Uses This: Student, Professor
  • Top Industries: Higher Education, Education Management
  • Company Size: 41% Small, 31% Large

What Do G2 Reviewers Say About Rapidminer AI Studio?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Altair AI Studio, finding its interface intuitive and beneficial for data tasks.
  • Users value the no-code machine learning capabilities of Altair AI Studio, facilitating easy model creation and analysis.
  • Users value the seamless AI integration of Altair AI Studio, enhancing decision-making and improving efficiency across organizations.
  • Users appreciate the advanced machine learning and data analytics in Altair AI Studio for smarter decision-making and efficiency.
  • Users value the automation capabilities of Altair AI Studio, enhancing efficiency in data processing and decision making.
Cons
  • Users find the complexity of Altair AI Studio challenging, particularly with language support and integrating legacy systems.
  • Users experience slower performance when handling large datasets in Altair AI Studio, affecting their efficiency and experience.
  • Users experience slow performance when handling large datasets, leading to slowdowns or freezing during usage.
  • Users find the complexity issues of Altair AI Studio frustrating, especially due to limited support resources.
  • Users find the complex usage of Altair AI Studio challenging, especially due to limited documentation and steep learning curve.

What Are Recent G2 Reviews of Rapidminer AI Studio?

What Are G2 Users Discussing About Rapidminer AI Studio?

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: 51

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
  • Twitter: @DataRobot
    19,225 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    886 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 49% Small, 40% Medium

What Are Recent G2 Reviews of DataRobot?

GoodData.AI

GoodData is the full-stack, AI-native decision intelligence platform that helps businesses turn data into actionable, enterprise-grade insights. Designed for governed, scalable analytics, GoodData enables organizations to build, operationalize, and embed decisions, workflows, and AI agents directly within products and business workflows. The platform combines Analytics as Code, a governed semantic and metrics layer, APIs, SDKs, and open AI interoperability to help teams create composable analytics and AI experiences across products, workflows, and customer environments. From embedded analytics and dashboards to assistants, AI workflows, and interoperable agents, GoodData gives teams the foundation to move from insight to action with governance, performance, and deployment flexibility built in. Today, GoodData serves over 140,000 companies and 3.2 million users worldwide.

Average Rating: 4.3/5.0

Total Reviews: 591

How Do G2 Users Rate GoodData.AI?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 8.9/10)
  • Algorithms: 6.7/10 (Category avg: 8.6/10)

Who Is the Company Behind GoodData.AI?

  • Seller: GoodData.AI
  • Company Website:
  • Year Founded: 2007
  • HQ Location: San Francisco, CA
  • Twitter: @gooddata
    1 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    290 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Product Manager
  • Top Industries: Computer Software, Consumer Services
  • Company Size: 44% Medium, 40% Small

What Do G2 Reviewers Say About GoodData.AI?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of GoodData.AI, enabling quick report creation and smooth integration with data systems.
  • Users appreciate the impressive data visualization features of GoodData.AI, enabling clear insights for all users.
  • Users appreciate the seamless integration of GoodData.AI with data sources, enhancing efficiency throughout the data lifecycle.
  • Users find GoodData.AI intuitive and easy to use, enabling quick reporting and data visualization for everyone.
  • Users value the customization capabilities of GoodData.AI, enhancing flexibility and enabling tailored business insights.
Cons
  • Users experience a steep learning curve with GoodData, making adaptation to business needs challenging and slow.
  • Users find the learning difficulty with GoodData.AI challenging, particularly in understanding MAQL language and complex data models.
  • Users find GoodData.AI lacking important features and documentation, making it hard to access insights and data.
  • Users find GoodData.AI's complexity challenging, especially during setup and when adapting to changing data structures.
  • Users find the limited customization options of GoodData.AI hinder their ability to fully tailor visualizations and reports.

What Are Recent G2 Reviews of GoodData.AI?

Microland smartThink

Manage IT specific issues around networks, servers, storage, applications, middleware, IoT, cloud deployments, etc., with real-time data analysis and correlation

Average Rating: 4.7/5.0

Total Reviews: 10

How Do G2 Users Rate Microland smartThink?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.9/10)
  • AI Text Summarization: 9.0/10 (Category avg: 8.1/10)
  • Algorithms: 8.5/10 (Category avg: 8.6/10)
  • AI Text Generation: 9.4/10 (Category avg: 8.1/10)

Who Is the Company Behind Microland smartThink?

  • Seller: Microland
  • Year Founded: 1989
  • HQ Location: Bangalore
  • Twitter: @MicrolandLtd
    2,252 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    6,605 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 40% Large, 30% Medium

What Do G2 Reviewers Say About Microland smartThink?

AI-generated summary from verified user reviews

Pros
  • Users value the business growth opportunities with Microland smartThink, enhancing learning and career advancement.
  • Users value the customizable dashboard of Microland smartThink, enhancing user experience and facilitating career growth.
  • Users value the user-friendly and customizable dashboard of Microland smartThink for enhancing learning and career growth.
  • Users value the ease of learning with Microland smartThink, finding it ideal for personal and career growth.
  • Users appreciate the ease of use of Microland smartThink, enjoying a user-friendly customizable dashboard for efficient navigation.
Cons
  • Users report compatibility issues with Microland smartThink that hinder seamless integration with existing systems.
  • Users express concerns regarding cost issues, suggesting the need for better value and guidance on investment.
  • Users feel a strong lack of guidance with Microland smartThink, leading to confusion and inefficiencies.

What Are Recent G2 Reviews of Microland smartThink?

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?

  • Seller: JMP Statistical Discovery
  • Company Website:
  • Year Founded: 1989
  • HQ Location: Cary, North Carolina
  • Twitter: @JMP_software
    2,760 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,063 employees on LinkedIn®

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 appreciate the ease of use in JMP, allowing simple data exploration and visualization without complicated coding.
  • Users appreciate the interactive data visualization in JMP, making it easy to explore and understand complex datasets.
  • Users value the ease of statistical analysis with JMP, enabling intuitive data exploration and visualization effortlessly.
  • Users appreciate the dynamic and intuitive visualization capabilities of JMP, making data exploration and analysis effortless.
  • Users appreciate the intuitive and interactive interface of JMP, enhancing their data analysis and visualization experience.
Cons
  • Users find JMP to be quite expensive, making it challenging for smaller businesses to adopt effectively.
  • Users find the learning curve steep, especially for those unfamiliar with statistical analysis, making mastery challenging.
  • Users find JMP offers limited flexibility in integration and model options, impacting their analysis capabilities.
  • Users note that JMP has a steep learning curve and can be overwhelming for new users and beginners.
  • Users find limitations in storage with JMP, especially lacking models for multivariate analysis and time series.

What Are Recent G2 Reviews of JMP?

What Are G2 Users Discussing About JMP?

APEX

APEX by LeanDNA is the factory-focused platform for AI-powered expert execution to establish command of supply planning and materials management. It powers optimized decisions and operations through materials visibility, predictive insights, supplier collaboration, and recommended actions. APEX synchronizes people, materials, and sites with data centralization, AI, and machine learning to analyze supply conditions, predict risks, connect across suppliers, and outline the best actions to protect and optimize production. With core capabilities spanning data visibility and AI, supply insights, procurement management, and inventory optimization, APEX transforms fragmented data into supply chain intelligence that drives confident, precise execution. Teams eliminate operational guesswork, respond faster to disruption, and improve performance with smarter prioritization and optimized supply strategies.

Average Rating: 4.5/5.0

Total Reviews: 128

How Do G2 Users Rate APEX?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.9/10)
  • AI Text Summarization: 6.3/10 (Category avg: 8.1/10)
  • Algorithms: 7.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 6.2/10 (Category avg: 8.1/10)

Who Is the Company Behind APEX?

  • Seller: LeanDNA
  • Company Website:
  • Year Founded: 2014
  • HQ Location: Austin, Texas, United States
  • LinkedIn® Page: www.linkedin.com
    95 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Approvisionneur
  • Top Industries: Manufacturing, Aviation & Aerospace
  • Company Size: 51% Medium, 38% Large

What Do G2 Reviewers Say About APEX?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of LeanDNA exceptional, enhancing efficiency with intuitive workflows and accessible support.
  • Users commend the phenomenal customer support from LeanDNA, which enhances implementation and addresses business needs effectively.
  • Users value the visibility and structure LeanDNA provides for efficient supplier performance management and communication.
  • Users appreciate the clear logic and task management features of APEX, enhancing collaboration and efficiency.
  • Users find APEX's time-saving features invaluable, enhancing efficiency with intuitive workflows and advanced analytics.
Cons
  • Users experience complex usability challenges, often struggling with frequent changes and feature limitations that hinder daily workflows.
  • Users find the limited customization options frustrating, restricting their ability to tailor the tool to specific needs.
  • Users find the missing filtering options in APEX limiting, impacting their analysis and decision-making capabilities.
  • Users note data inaccuracy in APEX, as updates are not in real-time and depend on external forecasts.
  • Users find the learning curve steep, but support helps navigate the complexity over time.

What Are Recent G2 Reviews of APEX?

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
  • Twitter: @qlik
    64,130 Twitter followers
  • 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 features of Qlik Predict, enabling seamless machine learning model creation and integration without coding.
  • Users enjoy the ease of use of Qlik Predict, benefiting from a friendly no-code interface and intuitive automation.
  • Users value the intuitive AI integration of Qlik Predict, enabling quick, no-code machine learning model deployment.
  • Users appreciate the user-friendly, no-code approach of Qlik Predict, enabling accessible machine learning for everyone.
  • Users value the user-friendly AI capabilities of Qlik Predict, enabling easy deployment of predictive models without coding.
Cons
  • Users note the limited customization of Qlik Predict, which may hinder advanced users seeking more control over their models.
  • Users experience deployment issues due to limited model flexibility and integration options within Qlik Predict.
  • Users note the lack of features in Qlik Predict, particularly regarding customization and deployment flexibility.
  • Users find the required knowledge of data science a barrier, limiting optimizations and effective model interpretation.
  • Users note the limited flexibility of Qlik Predict, particularly due to its no-code approach and ecosystem restrictions.

What Are Recent G2 Reviews of Qlik Predict?

What Are G2 Users Discussing About Qlik Predict?

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: 1,074

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
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

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 find Domo's ease of use and intuitive design invaluable for managing data efficiently and effectively.
  • Users value the flexible and user-friendly data visualization capabilities of Domo, enhancing their data analysis experience significantly.
  • Users find Domo's intuitive design empowering, facilitating easy access and effective data visualization for all skill levels.
  • Users praise Domo for its easy integrations, streamlining data management and enhancing real-time collaboration across various platforms.
  • Users value Domo's seamless integration capabilities, enabling efficient data management and real-time insights from various sources.
Cons
  • Users find the learning curve steep, often needing dedicated resources to manage updates and functionalities effectively.
  • Users report missing features in Domo, including flexibility in pivot charts and dynamic column options.
  • Users face significant data management issues with Domo, including unreliable connectors and challenging reporting functionality.
  • Users find Domo expensive, especially with drastic price increases that strain budgets and erode client trust.
  • Users find Domo's complexity hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

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: 197

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: 6.6/10 (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
  • Twitter: @TrendMining
    777 Twitter followers
  • 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 value the intuitive design of TrendMiner, making it easy to navigate and enhancing their overall experience.
  • Users value the speed of TrendMiner, enabling quick insights and efficient data analysis.
  • Users value the quick insights TrendMiner provides, making data-driven decisions easier and enhancing operational monitoring.
  • Users value the real-time monitoring capabilities of TrendMiner, enabling quick checks and insights on production status.
  • Users value the responsive and helpful customer support of TrendMiner, enhancing their overall experience with the product.
Cons
  • Users find complex usability in TrendMiner, struggling with connectivity and inadequate training materials for new users.
  • Users find the difficult learning curve of TrendMiner frustrating, as advanced features demand significant technical expertise.
  • Users find the complexity of advanced functions in TrendMiner necessitating training and cumbersome system administration.
  • Users find the learning curve steep, as mastering TrendMiner's extensive features requires significant time and training.
  • Users note the tool limitations of TrendMiner, including lack of a mobile app and restrictive nesting and calculations.

What Are Recent G2 Reviews of TrendMiner?

What Are G2 Users Discussing About TrendMiner?

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
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

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 appreciate the robust analytical modeling capabilities of IBM SPSS Modeler, enhancing data manipulation and preparation efficiency.
  • Users value the seamless data manipulation and robust analytical modeling capabilities of IBM SPSS Modeler for BI applications.
  • Users value the seamless data access in IBM SPSS Modeler, enhancing their ability to work with various datasets effectively.
  • Users value the seamless data manipulation capabilities of IBM SPSS Modeler, enhancing efficiency in BI tools integration.
  • Users value the seamless data visualization capabilities of IBM SPSS Modeler, enhancing their analytical precision and efficiency.
Cons
  • Users find the expensive licensing costs of IBM SPSS Modeler to be a significant drawback for individual use.
  • Users find the licensing costs prohibitive, making IBM SPSS Modeler an expensive choice for many.

What Are Recent G2 Reviews of IBM SPSS Modeler?

What Are G2 Users Discussing About IBM SPSS Modeler?

Crystal Ball

Oracle Crystal Ball is the leading spreadsheet-based application for predictive modeling, forecasting, simulation, and optimization.

Average Rating: 4.3/5.0

Total Reviews: 17

How Do G2 Users Rate Crystal Ball?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • Algorithms: 8.5/10 (Category avg: 8.6/10)

Who Is the Company Behind Crystal Ball?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    207,576 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Company Size: 40% Medium, 40% Large

What Are Recent G2 Reviews of Crystal Ball?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated October 29, 2024