Best Predictive Analytics Software for Medium-Sized Businesses - Page 2

How Many Predictive Analytics Software Products Does G2 Track?

Total Products under this Category: 586

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
  • 34,800+ Authentic Reviews
  • 586+ 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, Google Cloud BigQuery, IBM Cognos Analytics, Amazon Quick, Alteryx, and IBM SPSS Statistics.

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=google-cloud-bigquery&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=amazon-quick&focus%5B%5D=alteryx&focus%5B%5D=ibm-spss-statistics&segment=mid-market)

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 APEX incredibly easy to use, with well-organized dashboards and reports that enhance daily workflows.
  • Users value the fast and responsive customer support of APEX, enhancing their overall experience and collaboration.
  • Users find APEX's inventory optimization and real-time alerts invaluable for efficient stock management and control.
  • Users value the detailed dashboard and real-time updates from LeanDNA, enhancing communication and insight into purchasing.
  • Users value the time-saving features of APEX, enabling quick actionable insights and streamlined collaboration.
Cons
  • Users struggle with complex usability as key features are often inaccessible, disrupting their daily workflow and adaptation.
  • Users are frustrated by the limited customization of APEX, making dashboard adjustments and personalization challenging.
  • Users often feel frustrated by the missing features, such as limited filtering options and frequent changes.
  • Users note data inaccuracy with APEX, as real-time information integration is still being optimized during implementation.
  • Users note a steep learning curve initially, but support helps overcome challenges and enhances overall usability.

What Are Recent G2 Reviews of APEX?

Intelligence Center X 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: 511

How Do G2 Users Rate Intelligence Center X 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 Intelligence Center X AI Studio?

Who Uses This Product?

  • Who Uses This: Student, Professor
  • Top Industries: Higher Education, Education Management
  • Company Size: 42% Small, 31% Large

What Do G2 Reviewers Say About Intelligence Center X AI Studio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the user-friendly interface of Intelligence Center X AI Studio, enabling efficient machine learning without coding.
  • Users value the user-friendly machine learning access of Intelligence Center X AI Studio, simplifying model building and deployment.
  • Users appreciate the seamless AI integration of Intelligence Center X AI Studio, enhancing productivity and simplifying workflows.
  • Users benefit from the advanced machine learning and automation capabilities of Intelligence Center X AI Studio, enhancing decision-making.
  • Users value the automation features of Intelligence Center X AI Studio for enhancing efficiency in data processes.
Cons
  • Users find the complexity of the platform challenging, especially with unclear documentation and lack of multilingual support.
  • Users face slow performance and freezing issues when managing large datasets in Intelligence Center X AI Studio.
  • Users experience slow performance and freezing issues, especially when managing large or complex datasets in Intelligence Center X AI Studio.
  • Users find the product complicated and struggle with the lack of support in Japanese, affecting usability.
  • Users find the complexity of usage in Intelligence Center X AI Studio challenging, especially with limited support in Japanese.

What Are Recent G2 Reviews of Intelligence Center X AI Studio?

What Are G2 Users Discussing About Intelligence Center X AI Studio?

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: 307

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
  • LinkedIn® Page: www.linkedin.com
    948 employees on LinkedIn®
  • Phone: +41 91 697 54 10

Who Uses This Product?

  • Who Uses This: Software Engineer, Group Controller
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 57% Medium, 39% Large

What Do G2 Reviewers Say About Board?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Board, enabling everyone to analyze data without extensive training.
  • Users value the high flexibility of Board, enabling custom solutions and seamless integration across various business functions.
  • Users appreciate the intuitive interface and flexibility of Board, enhancing performance and simplifying dashboard creation.
  • Users value the efficiency of Board, streamlining decision-making and saving time with centralized access and intuitive features.
  • Users value the high customization options in Board, enabling tailored solutions and efficient process design.
Cons
  • Users experience slow performance with large datasets, complicating their workflow and reducing overall efficiency with Board.
  • Users find the steep learning curve of Board challenging, especially when starting with its complex features.
  • Users express frustration over missing features in report creation, making data management cumbersome and inefficient.
  • Users note that poor visualization options hinder the usability and potential of Board's reporting features.
  • Users find the complexity of Board can lead to maintenance challenges and slow performance with large datasets.

What Are Recent G2 Reviews of Board?

What Are G2 Users Discussing About Board?

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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?

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?

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?

SAP HANA Cloud

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.

Average Rating: 4.3/5.0

Total Reviews: 522

How Do G2 Users Rate SAP HANA Cloud?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.2/10 (Category avg: 8.1/10)
  • Algorithms: 8.8/10 (Category avg: 8.6/10)
  • AI Text Generation: 6.9/10 (Category avg: 8.1/10)

Who Is the Company Behind SAP HANA Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP
  • Phone: +1 (800) 872-1727

Who Uses This Product?

  • Who Uses This: Consultant, SAP Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 61% Large, 26% Medium

What Do G2 Reviewers Say About SAP HANA Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of SAP HANA Cloud, benefiting from its seamless integration and efficient data management.
  • Users appreciate the easy integrations of SAP HANA Cloud, enhancing efficiency in reporting and decision-making across modules.
  • Users value the seamless integrations of SAP HANA Cloud, enhancing efficiency in reporting and decision-making processes.
  • Users value the exceptional processing speed of SAP HANA Cloud, enhancing real-time insights and decision-making capabilities.
  • Users value the scalability of SAP HANA Cloud, enabling efficient growth and flexibility aligned with business needs.
Cons
  • Users often face complexity in initial setup and configuration that complicates the effective use of SAP HANA Cloud.
  • Users are concerned about the high costs associated with SAP HANA Cloud, especially when managing workloads improperly.
  • Users often struggle with the learning curve and initial setup complexity, hindering efficient onboarding for new users.
  • Users find the difficult learning curve of SAP HANA Cloud hinders onboarding and requires significant technical expertise.
  • Users find the complex setup of SAP HANA Cloud challenging, particularly for new users and specialized features.

What Are Recent G2 Reviews of SAP HANA Cloud?

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?

GoodData.AI

GoodData.AI 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.AI 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.AI gives teams the foundation to move from insight to action with governance, performance, and deployment flexibility built in. Today, GoodData.AI serves over 140,000 companies and 3.2 million users worldwide.

Average Rating: 4.3/5.0

Total Reviews: 609

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
  • LinkedIn® Page: www.linkedin.com
    290 employees on LinkedIn®
  • Phone: (415) 200-0186

Who Uses This Product?

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

What Do G2 Reviewers Say About GoodData.AI?

AI-generated summary from verified user reviews

Pros
  • Users admire the ease of use of GoodData.AI, enabling even non-technical staff to build workflows effortlessly.
  • Users value the powerful data visualization features of GoodData.AI, enhancing decision-making and reporting efficiency.
  • Users appreciate the integrations with existing tools, enhancing their workflow and streamlining daily reporting tasks.
  • Users appreciate the intuitive interface of GoodData.AI, making data visualization and analysis accessible and efficient.
  • Users appreciate the customization options of GoodData.AI, enhancing their ability to create personalized and versatile dashboards.
Cons
  • Users find the learning curve steep with GoodData.AI, causing delays and complicating initial usage and implementation.
  • Users find the learning difficulty considerable, especially for beginners navigating complex functionalities and concepts.
  • Users have noted the missing features in GoodData.AI, such as version control and flexible collaboration options.
  • Users experience complexity during setup with GoodData.AI, affecting productivity and ease of use for new users.
  • Users find the limited customization options frustrating, especially when dealing with complex data models and graphics flexibility.

What Are Recent G2 Reviews of GoodData.AI?

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?

Plutoshift

Plutoshift is pioneering a new category of data platform, purpose built for enterprises that provide physical products and services. The Plutoshift Operational Data Platform (ODP) applies AI and automated machine learning to unify and align the myriad of data sources into a shared system of record, enabling a new caliber of “always-on” performance monitoring and predictive analysis. For the first time, front line and remote workers can utilize current and trusted data all the way out to the operational front lines of the business, dramatically improving the speed and reliability of critical decision making.

Average Rating: 4.8/5.0

Total Reviews: 19

How Do G2 Users Rate Plutoshift?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Algorithms: 9.7/10 (Category avg: 8.6/10)

Who Is the Company Behind Plutoshift?

  • Seller: Plutoshift
  • Year Founded: 2024
  • HQ Location: Palo Alto, California
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Computer Software
  • Company Size: 68% Medium, 21% Large

What Do G2 Reviewers Say About Plutoshift?

AI-generated summary from verified user reviews

Pros
  • Users commend Plutoshift for its easy-to-use data analysis, which simplifies complex data into valuable insights for decision-making.
  • Users value the real-time insights provided by Plutoshift, simplifying complex data for better decision-making.
  • Users value the responsive support team of Plutoshift, enhancing their experience and operational efficiency.
  • Users appreciate the ease of use of Plutoshift, simplifying complex data into clear and actionable insights.
  • Users value the real-time analysis capabilities of Plutoshift, enhancing decision-making with insightful data outputs.
Cons
  • Users find Plutoshift's complex usability challenging, especially for those not tech-savvy, impacting setup and integration.
  • Users find Plutoshift's complexity confusing, especially if they are not familiar with the software.
  • Users find integration issues challenging, especially when dealing with legacy systems or lacking technical skills.
  • Users find the learning curve challenging, especially if they lack technical expertise or familiarity with the system.
  • Users find the difficult setup of Plutoshift time-consuming, particularly for those lacking technical expertise.

What Are Recent G2 Reviews of Plutoshift?

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?

Seeq

Seeq is a global leader in industrial AI that brings together operational data, human expertise, and AI to help industrial organizations accelerate better decisions and measurable outcomes. Seeq captures and connects the knowledge of subject matter experts, making proven approaches easier to access, apply, and scale across teams, assets, and sites. With transparent, traceable AI, Seeq helps organizations move from insight to action while keeping human judgment at the center. Trusted by leading industrial companies, Seeq supports improvements in reliability, efficiency, sustainability, workforce productivity, and profitability. Seeq helps every industrial decision benefit from collective knowledge, operational context, and intelligent action.

Average Rating: 4.6/5.0

Total Reviews: 145

How Do G2 Users Rate Seeq?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 6.9/10 (Category avg: 8.1/10)
  • Algorithms: 7.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.2/10 (Category avg: 8.1/10)

Who Is the Company Behind Seeq?

  • Seller: Seeq Corporation
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Seattle, Washington
  • LinkedIn® Page: www.linkedin.com
    334 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Process Engineer
  • Top Industries: Oil & Energy, Chemicals
  • Company Size: 58% Large, 32% Medium

What Do G2 Reviewers Say About Seeq?

AI-generated summary from verified user reviews

Pros
  • Users value the easy data processing with Seeq, enabling enhanced decision-making and operational efficiency.
  • Users find Seeq to be user-friendly, facilitating quick understanding and effective data processing for decision-making.
  • Users appreciate the easy data processing and predictive analytics of Seeq, enhancing decision making and operational efficiency.
  • Users value the outstanding analysis capabilities of Seeq, effectively understanding issues and gaining insights swiftly.
  • Users value the quick and interactive data visualization in Seeq, enabling easy understanding of complex issues.
Cons
  • Users find the complex usability of Seeq challenging, especially with mastering formulas and navigating its interface.
  • Users find the difficult learning curve of Seeq hinders adoption and mastery of its powerful features.
  • Users find a steep learning curve with Seeq, which complicates initial adoption and mastery of its features.
  • Users find a steep learning curve with Seeq, making adoption and mastery challenging without adequate support.
  • Users find it complex to scale analyses and integrate seamlessly, complicating their workflow and project integrity.

What Are Recent G2 Reviews of Seeq?

What Are G2 Users Discussing About Seeq?

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?

Forwrd

Struggling to keep your scoring models up to date every time marketing campaigns or product features are launched? Meet Forwrd, the easiest way to build accurate scoring models that literally become smarter every day, learning from new data in real time. Build a self-learning scoring model that automatically identifies new conversion-impacting factors in your data and updates itself, without any manual work. Scores can be pushed into the business apps employees use daily (e.g., SFDC, HubSpot, Slack) to enable frontline employees to focus on their best prospects and customers. ✅ No more manual updates to your scoring method as your marketing evolves. ✅ Your model gets smarter every day by learning from fresh data. ✅ Accurate scoring means focusing on your AAA leads. ✅ Connect your CRM, HubSpot, product analytics, ticketing system, and more! ✅ No need for analysts or data teams. There's a reason B2B SaaS leaders like Jasper.ai, AppsFlyer, and WalkMe use Forwrd to focus on their best leads, MQLs, PQLs, SQLs, and customers. – "4X more PQLs", PowToon – "48% more opportunities", AppsFlyer – "21% more qualified pipeline", Totango – "31% better retention", WalkMe

Average Rating: 4.8/5.0

Total Reviews: 32

How Do G2 Users Rate Forwrd?

  • Has the product been a good partner in doing business?: 9.8/10 (Category avg: 8.9/10)
  • AI Text Summarization: 5.0/10 (Category avg: 8.1/10)
  • Algorithms: 8.1/10 (Category avg: 8.6/10)
  • AI Text Generation: 5.0/10 (Category avg: 8.1/10)

Who Is the Company Behind Forwrd?

  • Seller: Forwrd
  • Year Founded: 2021
  • HQ Location: Tel Aviv-Yafo, IL
  • LinkedIn® Page: www.linkedin.com
    2 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 66% Medium, 16% Large

What Do G2 Reviewers Say About Forwrd?

AI-generated summary from verified user reviews

Pros
  • Users find Forwrd to be incredibly user-friendly, allowing seamless integration and intuitive model building for data analysis.
  • Users admire the robust machine learning capabilities of Forwrd, likening it to having a personal data scientist.
  • Users value Forwrd's flexible integration and personalized support, feeling empowered by its powerful data analysis capabilities.
  • Users find Forwrd's interface incredibly intuitive, making data modeling and analysis effortless and efficient.
  • Users find Forwrd's automation capabilities exceptional, enabling efficient data model building without any coding required.
Cons
  • Users find learning difficulty in Forwrd's setup, often requiring guidance to understand the platform effectively.

What Are Recent G2 Reviews of Forwrd?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated