Best Predictive Analytics Software for Small Business

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: IFS Copperleaf (+1.9%) - Among all products in this category, IFS Copperleaf recorded the largest rating increase compared to last month

Last updated: October 23, 2026

How Does G2 Rank Predictive Analytics Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 32,300+ 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, SAS Viya, Adobe Analytics, IBM Cognos Analytics, Amazon Quick, 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=ibm-cognos-analytics&focus%5B%5D=amazon-quick&focus%5B%5D=salesloft&focus%5B%5D=amazon-forecast&focus%5B%5D=gooddata-ai&segment=small-business)

Tableau

Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale. It accelerates your time to value and gives you access to the latest AI-powered innovations. Deploy visual, self-service analytics with unmatched control and flexibility. Tableau Server meets your organization's governance and security needs. It provides enterprise-grade, self-service analytics on-premise or in your private cloud.

Average Rating: 4.4/5.0

Total Reviews: 4,079

How Do G2 Users Rate Tableau?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.0/10 (Category avg: 8.1/10)
  • Algorithms: 8.4/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.0/10 (Category avg: 8.1/10)

Who Is the Company Behind Tableau?

  • Seller: Salesforce
  • Company Website:
  • Year Founded: 1999
  • HQ Location: San Francisco, CA
  • Twitter: @salesforce
    579,511 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    89,711 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Large, 36% Medium

What Do G2 Reviewers Say About Tableau?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Tableau, simplifying data visualization and integration for effective decision-making.
  • Users value the ease of creating interactive visualizations with Tableau, simplifying data analysis from multiple sources.
  • Users love the intuitive and powerful visualization capabilities of Tableau, enabling clear insights from complex data.
  • Users appreciate the ease of use and powerful visualization features of Tableau, streamlining data presentation and analysis.
  • Users find Tableau's intuitive design exceptional, enabling effortless data visualization and interactive dashboards for effective reporting.
Cons
  • Users find the learning curve steep, complicating the onboarding process and integration with Salesforce.
  • Users find learning Tableau challenging, particularly due to its complexity and difficulties in collaboration and calculations.
  • Users find Tableau expensive, with costs complicating its value in large organizations and advanced functionalities.
  • Users experience slow performance with large datasets and lengthy data refresh processes, leading to frustration.
  • Users find Tableau's onboarding complex, making simple tasks unnecessarily complicated and challenging to switch from MS products.

What Are Recent G2 Reviews of Tableau?

What Are G2 Users Discussing About Tableau?

SAS Viya

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

Average Rating: 4.4/5.0

Total Reviews: 787

How Do G2 Users Rate SAS Viya?

  • Has the product been a good partner in doing business?: 8.2/10 (Category avg: 8.9/10)
  • AI Text Summarization: 6.7/10 (Category avg: 8.1/10)
  • Algorithms: 8.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 6.3/10 (Category avg: 8.1/10)

Who Is the Company Behind SAS Viya?

  • Seller: SAS Institute
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in SAS Viya, enhancing data visualization and decision-making for businesses.
  • Users appreciate the advanced analytical capabilities of SAS Viya, making data analysis and decision-making more efficient.
  • Users value the sophisticated analytical capabilities of SAS Viya, enhancing decision-making and insights from diverse data sources.
  • Users value the end-to-end data lifecycle tooling in SAS Viya, enhancing insights and strategic decision-making capabilities.
  • Users commend SAS Viya for its user-friendly interface, making complex analytics accessible to individuals of all skill levels.
Cons
  • Users find SAS Viya difficult for non-technical users to navigate, impacting ease of access to reports and dashboards.
  • Users find the learning curve challenging, especially for non-technical individuals navigating reports and dashboards.
  • Users find the visualization complexity of SAS Viya challenging, especially for those without technical expertise.
  • Users find the difficult learning curve for SAS Viya challenging, especially for non-technical users attempting to access features.
  • Users find the expensive pricing of SAS Viya a potential barrier, complicating their decision-making process.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

Adobe Analytics

Adobe Analytics empowers marketing, product, and business teams with insights to understand their customers and the journeys they take across digital channels, products, content, and services. From digital data collection and relational clickstream processing to in-depth analysis, and reporting, Adobe Analytics helps you understand visitor engagement across your digital properties — making it possible to optimize digital marketing strategies, improve user experience, and drive business growth. Features: - Collect and ingest behavioral data in real-time from your web and mobile channels. - Automatically convert raw data for unlimited analysis to discover customer patterns, spot anomalies, identify friction in your digital experiences, and uncover insights from digital journeys. - Equip marketers and analysts with AI capabilities that speed through analyses so they can quickly and confidently generate insights to improve the digital experience. - Integrate and share insights, segments, and outputs from your data across other business applications.

Average Rating: 4.2/5.0

Total Reviews: 1,180

How Do G2 Users Rate Adobe Analytics?

  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 8.9/10)
  • AI Text Summarization: 9.1/10 (Category avg: 8.1/10)
  • Algorithms: 8.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.8/10 (Category avg: 8.1/10)

Who Is the Company Behind Adobe Analytics?

  • Seller: Adobe
  • Company Website:
  • Year Founded: 1982
  • HQ Location: San Jose, CA
  • Twitter: @Adobe
    956,842 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    42,975 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 43% Large, 30% Medium

What Do G2 Reviewers Say About Adobe Analytics?

AI-generated summary from verified user reviews

Pros
  • Users value the advanced segmentation and customizable dashboards of Adobe Analytics, enhancing data analysis and visualization.
  • Users value the advanced segmentation and customizable dashboards of Adobe Analytics for insightful data analysis and visualization.
  • Users value the ease of use in Adobe Analytics, making complex data analysis and integration straightforward and efficient.
  • Users value Adobe Analytics for its advanced data analysis and predictive reporting, enhancing decision-making and understanding user behavior.
  • Users value the advanced reporting features of Adobe Analytics, enabling informed and effective data-driven decision-making.
Cons
  • Users find the learning curve steep, requiring extensive training and support to effectively utilize Adobe Analytics.
  • Users find Adobe Analytics has a steep learning curve, requiring significant training to master its capabilities effectively.
  • Users find Adobe Analytics to be expensive, limiting accessibility for small teams with tight budgets.
  • Users experience slow performance with Adobe Analytics, facing delays and sluggishness, particularly with large datasets and reports.
  • Users find Adobe Analytics to have a steep learning curve that complicates setup and daily analysis tasks.

What Are Recent G2 Reviews of Adobe Analytics?

What Are G2 Users Discussing About Adobe Analytics?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works
Connect G2 to ChatGPTConnect G2 to Claude

Amazon Quick

Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, natural language queries and embedded analytics. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Over 100,000 customers use Amazon QuickSight. Learn more at https://quicksight.aws

Average Rating: 4.3/5.0

Total Reviews: 679

How Do G2 Users Rate Amazon Quick?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.2/10 (Category avg: 8.1/10)
  • Algorithms: 8.1/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.2/10 (Category avg: 8.1/10)

Who Is the Company Behind Amazon Quick?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148,266 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Who Uses This: Data Analyst, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 39% Small, 37% Medium

What Do G2 Reviewers Say About Amazon Quick?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the s seamless integration of Amazon QuickSight with AWS services for effective dashboard creation.
  • Users value the ease of use of Amazon QuickSight, simplifying the creation of interactive dashboards effortlessly.
  • Users highlight the manual integration ease of Amazon QuickSight, streamlining data collection and workflow seamlessly with AWS.
  • Users value the fast and intuitive data visualization features of Amazon QuickSight, enhancing analytical capabilities effortlessly.
  • Users value the intuitive dashboard creation in Amazon QuickSight, enhancing data accessibility and team collaboration.
Cons
  • Users find limited customization in Amazon QuickSight, impacting advanced analytics and visual flexibility compared to competitors.
  • Users find the learning curve challenging, requiring prior knowledge for effective use of QuickSight's features.
  • Users note the limited visualization options in Amazon QuickSight, impacting flexibility and usability for data presentations.
  • Users note the missing features in QuickSight, especially in customization and advanced visual options compared to competitors.
  • Users find the poor interface design of Amazon QuickSight hinders usability and complicates access to advanced features.

What Are Recent G2 Reviews of Amazon Quick?

What Are G2 Users Discussing About Amazon Quick?

IBM Cognos Analytics

IBM Cognos Analytics is a business intelligence and analytics solution that uses agentic AI to help teams transform trusted data into actionable insights, build governed analytical applications, and make better decisions. Teams can explore data, monitor KPIs, analyze performance, forecast trends, and share insights across the business. The solution is built for business leaders, analysts, report authors, IT teams, and data governance teams that need governed reporting, self-service analytics, data modeling, and flexible deployment options. Common use cases include enterprise reporting, operational reporting, financial reporting, dashboarding, performance management, forecasting, and governed self-service analytics. It supports both centralized BI teams and distributed users who need consistent access to trusted analytics. Key capabilities: 1. Create governed reports and dashboards: Build, schedule, distribute, and manage reports, dashboards, and visualizations for teams, executives, and stakeholders. Support routine reporting, business reviews, and purpose-built analytical applications with consistent information. 2. Explore data with control: Use self-service analytics, certified data models, governed metrics, access controls, and auditability to keep reporting consistent across teams and departments. 3. Analyze and forecast faster: Use natural-language assistance, automated insights, and forecasting to help users understand data faster in supported versions and deployments. 4. Put Reporting Agents to work: Use agentic AI capabilities in supported versions and deployments to find reports, summarize results, share insights, and create or refine reports using natural language. 5. Deploy where the business needs it: Run Cognos Analytics in on-premises, IBM-hosted, hybrid, or certified container environments to align with infrastructure, security, and governance requirements. Cognos Analytics helps organizations reduce repetitive reporting work, improve consistency across metrics and dashboards, and make governed data analytics easier to access across the business.

Average Rating: 4.1/5.0

Total Reviews: 441

How Do G2 Users Rate IBM Cognos Analytics?

  • Has the product been a good partner in doing business?: 7.7/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.1/10 (Category avg: 8.1/10)
  • Algorithms: 9.0/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.9/10 (Category avg: 8.1/10)

Who Is the Company Behind IBM Cognos Analytics?

  • Seller: IBM
  • Company Website:
  • 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®

Who Uses This Product?

  • Who Uses This: Software Engineer, Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 57% Large, 27% Medium

What Do G2 Reviewers Say About IBM Cognos Analytics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of IBM Cognos Analytics, facilitating quick data analysis and visualization.
  • Users value the powerful report generation capabilities of IBM Cognos Analytics, enhancing their data analysis and reporting processes.
  • Users appreciate the ease of creating complex dashboards in IBM Cognos Analytics, enabling quick data visualization.
  • Users appreciate the data visualization capabilities of IBM Cognos Analytics, enhancing understanding and insights effortlessly.
  • Users value the dashboard customization in Cognos Analytics, making complex data visuals clear and understandable.
Cons
  • Users find the learning curve steep, requiring significant time and training to effectively utilize IBM Cognos Analytics.
  • Users find IBM Cognos Analytics complex to navigate and build reports, often requiring extensive training for effective use.
  • Users find the complex usage of IBM Cognos Analytics challenging, especially with report creation and software integration.
  • Users find the learning difficulty of IBM Cognos Analytics challenging, especially for novices trying to build reports.
  • Users find it challenging to locate historical reports in IBM Cognos Analytics, particularly novices struggling with the reporting module.

What Are Recent G2 Reviews of IBM Cognos Analytics?

What Are G2 Users Discussing About IBM Cognos Analytics?

Salesloft

Salesloft is the revenue orchestration platform that closes the gap between what revenue teams know and what they do next. Powered by agentic AI, Salesloft's Predictive Revenue System connects live signals from buyer engagement, conversations, deals, and forecast data, turning intelligence into clear, prioritized action. Trusted by more than 4,000 organizations including Adobe, 3M, IBM, and Zoom, Salesloft helps revenue teams move from guesswork to confidence, quarter after quarter.

Average Rating: 4.5/5.0

Total Reviews: 9,667

How Do G2 Users Rate Salesloft?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 8.9/10)
  • Algorithms: 10.0/10 (Category avg: 8.6/10)

Who Is the Company Behind Salesloft?

  • Seller: Salesloft
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Atlanta, GA
  • Twitter: @Salesloft
    18,437 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,098 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Account Executive, Sales Development Representative
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 51% Medium, 32% Large

What Do G2 Reviewers Say About Salesloft?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in Salesloft invaluable for efficient contact management and outreach.
  • Users find Salesloft's helpful functionalities in call tracking and customizable cadences instrumental for efficient contact management.
  • Users appreciate the powerful automation features of Salesloft, greatly enhancing their sales engagement and productivity.
  • Users value the seamless automation features in Salesloft, making call tracking and email campaigns effortless.
  • Users value the time-saving features of Salesloft, enhancing efficiency in managing outreach and prospecting activities.
Cons
  • Users find missing features like domain rotation and improved text formatting hinder their email effectiveness in Salesloft.
  • Users face call issues with Salesloft, experiencing difficulties with app alignment and support consistency during usage.
  • Users often face integration issues with Salesloft, particularly with platforms like HubSpot, affecting overall effectiveness.
  • Users face a steep learning curve with Salesloft, making it challenging for newcomers to navigate effectively.
  • Users note the limited features compared to competitors, impacting their overall experience and efficiency with Salesloft.

What Are Recent G2 Reviews of Salesloft?

What Are G2 Users Discussing About Salesloft?

Amazon Forecast

Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.

Average Rating: 4.3/5.0

Total Reviews: 102

How Do G2 Users Rate Amazon Forecast?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.8/10 (Category avg: 8.1/10)
  • Algorithms: 8.7/10 (Category avg: 8.6/10)
  • AI Text Generation: 9.6/10 (Category avg: 8.1/10)

Who Is the Company Behind Amazon Forecast?

  • Seller: Amazon Web Services (AWS)
  • Year Founded: 2006
  • HQ Location: Seattle, WA
  • Twitter: @awscloud
    2,232,483 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    148,266 employees on LinkedIn®
  • Ownership: NASDAQ: AMZN

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 49% Small, 37% Medium

What Do G2 Reviewers Say About Amazon Forecast?

AI-generated summary from verified user reviews

Pros
  • Users find Amazon Forecast to be user-friendly, offering accurate predictions without requiring machine learning expertise.
  • Users value the high forecasting accuracy of Amazon Forecast, leveraging advanced ML to produce dependable predictions effortlessly.
  • Users value the high accuracy of Amazon Forecast, benefiting from reliable results through advanced machine learning technology.
  • Users appreciate the high accuracy and ease of use of Amazon Forecast, leveraging advanced ML for reliable predictions.
  • Users value the high accuracy of Amazon Forecast, benefiting from reliable results powered by advanced ML technology.
Cons
  • Users express concern over the high costs of Amazon Forecast, particularly with large datasets and frequent predictions.
  • Users find Amazon Forecast's complexity in setup and use frustrating, particularly affecting those unfamiliar with AWS services.
  • Users find the steep learning curve of Amazon Forecast challenging, especially for those not familiar with AWS.
  • Users express concern over the high costs of Amazon Forecast, especially when scaling for larger datasets.
  • Users find that the cost escalates quickly with large datasets and frequent model retraining, impacting budget management.

What Are Recent G2 Reviews of Amazon Forecast?

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: 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?

SAP Analytics Cloud

With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help you make decisions without doubt.

Average Rating: 4.2/5.0

Total Reviews: 748

How Do G2 Users Rate SAP Analytics Cloud?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • AI Text Summarization: 8.9/10 (Category avg: 8.1/10)
  • Algorithms: 8.0/10 (Category avg: 8.6/10)
  • AI Text Generation: 8.7/10 (Category avg: 8.1/10)

Who Is the Company Behind SAP Analytics Cloud?

  • Seller: SAP
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    149,349 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Who Uses This: Senior Consultant, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 49% Large, 28% Medium

What Do G2 Reviewers Say About SAP Analytics Cloud?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use in SAP Analytics Cloud, simplifying data understanding for everyday tasks and decision-making.
  • Users value the powerful data analysis capabilities of SAP Analytics Cloud for its seamless integration and advanced planning features.
  • Users value the strong visualization capabilities of SAP Analytics Cloud, enhancing data storytelling and stakeholder communication.
  • Users value the easy integrations of SAP Analytics Cloud, allowing seamless connectivity and enhanced collaboration across tools.
  • Users value the powerful integration and predictive modeling capabilities of SAP Analytics Cloud for efficient project management.
Cons
  • Users experience slow performance with large datasets, affecting efficiency and user satisfaction in SAP Analytics Cloud.
  • Users face a steep learning curve in SAP Analytics Cloud that can hinder effective usage without proper training.
  • Users face a steep learning curve with SAP Analytics Cloud, requiring training to navigate its advanced features effectively.
  • Users often face performance issues with SAP Analytics Cloud, particularly when handling large datasets and complex calculations.
  • Users note that handling large datasets can slow down performance, impacting their overall experience with SAP Analytics Cloud.

What Are Recent G2 Reviews of SAP Analytics Cloud?

What Are G2 Users Discussing About SAP Analytics Cloud?

Google Cloud BigQuery

BigQuery is an AI-ready, petabyte-scale, and cost-effective data warehouse that lets you run analytics over vast amounts of data in near real time. Store 10 GiB of data and run up to 1 TiB of queries for free per month.

Average Rating: 4.5/5.0

Total Reviews: 1,144

How Do G2 Users Rate Google Cloud BigQuery?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.6/10 (Category avg: 8.1/10)
  • Algorithms: 8.8/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.4/10 (Category avg: 8.1/10)

Who Is the Company Behind Google Cloud BigQuery?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • Twitter: @google
    31,899,995 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG

Who Uses This Product?

  • Who Uses This: Data Engineer, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 38% Large, 35% Medium

What Do G2 Reviewers Say About Google Cloud BigQuery?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Google Cloud BigQuery, enabling fast analysis without needing to manage infrastructure.
  • Users appreciate the incredible speed of BigQuery, making data processing effortless and efficient for large datasets.
  • Users value the seamless integrations of Google Cloud BigQuery, enhancing analytics and supporting various data types effortlessly.
  • Users appreciate the fast querying capabilities of Google Cloud BigQuery, enabling quick analysis of massive datasets effortlessly.
  • Users value the query efficiency of BigQuery, enabling fast analysis of massive datasets with minimal effort.
Cons
  • Users find the cost structure expensive, especially with complex queries leading to rapidly escalating charges.
  • Users often face query issues with BigQuery, as inefficient queries can rapidly increase costs and complicate budgeting.
  • Users find the cost management challenging, facing unpredictable pricing and needing strict governance to maintain budgets.
  • Users face cost issues with Google Cloud BigQuery, often leading to unexpectedly high bills and budget management challenges.
  • Users find the steep learning curve for advanced features challenging, requiring significant time and effort to master.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

IBM SPSS Statistics

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

Average Rating: 4.2/5.0

Total Reviews: 899

G2 Deal: Turn complex data into reliable insights. Get 30% off your first monthly or annual subscriptions. Offer ends 15 April 2026.

Analyze data, forecast trends faster now with AI that interprets results. With IBM SPSS Statistics, you get 30% off your first monthly subscriptions. Offer ends 15 April 2026.

Price: ~~79.00 USD~~ → 55.30 USD

View this exclusive G2 deal

How Do G2 Users Rate IBM SPSS Statistics?

  • Has the product been a good partner in doing business?: 8.0/10 (Category avg: 8.9/10)
  • AI Text Summarization: 10.0/10 (Category avg: 8.1/10)
  • Algorithms: 7.7/10 (Category avg: 8.6/10)
  • AI Text Generation: 10.0/10 (Category avg: 8.1/10)

Who Is the Company Behind IBM SPSS Statistics?

  • Seller: IBM
  • Company Website:
  • 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®

Who Uses This Product?

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

What Do G2 Reviewers Say About IBM SPSS Statistics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in SPSS Statistics, enjoying its intuitive interface for complex analyses.
  • Users praise SPSS Statistics for its ease of use in complex statistical analysis, making data handling straightforward and efficient.
  • Users value the strong data management and cleaning capabilities of IBM SPSS Statistics, enhancing accuracy and efficiency in analyses.
  • Users appreciate the intuitive user interface of IBM SPSS Statistics, simplifying complex analysis and saving time.
  • Users value the robust analysis capabilities of IBM SPSS Statistics, enabling data-driven decisions that enhance credibility in UX work.
Cons
  • Users find the high cost of IBM SPSS Statistics to be a significant barrier for smaller teams.
  • Users find the poor visualization in SPSS Statistics hampers usability and complicates data interpretation for stakeholders.
  • Users find the steep learning curve of IBM SPSS Statistics challenging, especially for those new to statistical analysis.
  • Users find the outdated interface of SPSS unappealing and cumbersome compared to modern data analysis tools.
  • Users often experience performance issues with IBM SPSS Statistics, particularly when handling large datasets, impacting usability.

What Are Recent G2 Reviews of IBM SPSS Statistics?

What Are G2 Users Discussing About IBM SPSS Statistics?

Nixtla

TimeGPT is a cutting-edge foundation model specifically designed for time series forecasting and anomaly detection. This innovative solution empowers users to harness the full potential of their time series data, enabling more informed decision-making across various domains. With its advanced capabilities, TimeGPT stands out as a pivotal tool for organizations looking to optimize their data-driven strategies. Targeted at data scientists, analysts, and business decision-makers, TimeGPT caters to a wide range of industries, including finance, energy, and meteorology. Its ability to process and analyze vast amounts of time series data makes it an invaluable resource for those seeking to improve operational efficiency, enhance predictive accuracy, and identify unusual patterns that may indicate underlying issues. Whether it’s forecasting stock prices, predicting energy consumption, or analyzing weather trends, TimeGPT provides the necessary tools to tackle complex time series challenges. One of the key features of TimeGPT is its zero-shot inference capability, which allows users to generate forecasts and detect anomalies without the need for prior training data. This feature significantly reduces the time and resources typically required for model training, enabling users to quickly gain insights from their data. Additionally, TimeGPT has been extensively trained on over 100 billion time series data points, ensuring that it can deliver reliable and accurate predictions across various contexts. TimeGPT also offers fine-tuning options, allowing users to adapt the model to their specific datasets. This flexibility ensures that organizations can tailor the model to their unique time series characteristics, enhancing its predictive performance. Furthermore, the model supports the integration of exogenous variables, which can improve forecast accuracy by accounting for external factors that may influence the data. With robust API access, TimeGPT can be seamlessly integrated into existing applications, making it easy for organizations to leverage its capabilities. It is also compatible with Azure Studio and can be deployed on private infrastructure, providing users with the flexibility to choose the deployment method that best suits their needs. The ability to forecast multiple time series simultaneously further optimizes workflows, allowing organizations to manage resources effectively while enhancing their analytical capabilities. In addition to its forecasting prowess, TimeGPT excels in anomaly detection, automatically identifying unusual patterns in time series data. This feature is particularly beneficial for organizations that need to monitor systems in real-time and respond swiftly to potential issues. By incorporating exogenous features, users can further enhance the model's performance, ensuring that they are equipped to handle the complexities of their time series data.

Average Rating: 4.7/5.0

Total Reviews: 51

How Do G2 Users Rate Nixtla?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 8.9/10)
  • AI Text Summarization: 4.3/10 (Category avg: 8.1/10)
  • Algorithms: 9.6/10 (Category avg: 8.6/10)
  • AI Text Generation: 4.6/10 (Category avg: 8.1/10)

Who Is the Company Behind Nixtla?

  • Seller: Nixtla
  • Company Website:
  • Year Founded: 2021
  • HQ Location: San Francisco, US
  • LinkedIn® Page: www.linkedin.com
    38 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Scientist
  • Top Industries: Computer Software, Retail
  • Company Size: 43% Large, 39% Small

What Do G2 Reviewers Say About Nixtla?

AI-generated summary from verified user reviews

Pros
  • Users highly value the ease of use of Nixtla, benefiting from seamless integration and efficient forecasting capabilities.
  • Users appreciate the easy integrations of Nixtla's libraries, enhancing efficiency in their forecasting workflows.
  • Users commend Nixtla for their responsive customer support, making it easy to resolve issues and gain insights.
  • Users value the adaptability and accuracy of TimeGPT in predicting time series for environmental applications.
  • Users appreciate the implementation ease of Nixtla, enjoying seamless integration across diverse forecasting models.
Cons
  • Users note the absence of key features in Nixtla, hindering functionality and usability for complex forecasting tasks.
  • Users find Nixtla quite expensive, especially for smaller companies with non-critical forecasting needs.
  • Users often struggle with the lack of guidance in documentation for advanced use cases, hindering their experience.
  • Users note the limited features of Nixtla, impacting geospatial support and forecast interpretability.
  • Users find the learning curve challenging, as improvements in documentation and examples would enhance usability significantly.

What Are Recent G2 Reviews of Nixtla?

Minitab Statistical Software

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

Average Rating: 4.6/5.0

Total Reviews: 221

How Do G2 Users Rate Minitab Statistical Software?

  • Has the product been a good partner in doing business?: 8.6/10 (Category avg: 8.9/10)
  • AI Text Summarization: 7.4/10 (Category avg: 8.1/10)
  • Algorithms: 8.3/10 (Category avg: 8.6/10)
  • AI Text Generation: 7.3/10 (Category avg: 8.1/10)

Who Is the Company Behind Minitab Statistical Software?

  • Seller: Minitab
  • Company Website:
  • Year Founded: 1972
  • HQ Location: State College, Pennsylvania, United States
  • Twitter: @Minitab
    5,017 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    732 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About Minitab Statistical Software?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Minitab Statistical Software, enjoying its intuitive interface and efficient setup.
  • Users appreciate the ease of use of Minitab, enhancing their overall data analysis experience significantly.
  • Users value the user-friendly guides in Minitab, enhancing the ease of statistical analysis and improving overall experience.
  • Users find Minitab to have a user-friendly interface that simplifies statistical analysis and methodology selection.
  • Users value the robust analysis capabilities of Minitab, enabling effortless and detailed statistical evaluations for informed decision-making.
Cons
  • Users find Minitab's licensing fees expensive, making it difficult to justify for infrequent use.
  • Users find Minitab's steep learning curve challenging, often requiring more training and clearer guidance for effective use.
  • Users find the complexity of Minitab's interface and functionality hinders ease of use and workflow efficiency.
  • Users find Minitab's interface not user-friendly, citing outdated design and confusing menus that complicate the experience.
  • Users face data management issues in Minitab, complicating dataset handling and analysis processes.

What Are Recent G2 Reviews of Minitab Statistical Software?

What Are G2 Users Discussing About Minitab Statistical Software?

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: 50

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?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated