Best Enterprise Predictive Analytics Software

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, IBM Cognos Analytics, SAS Viya, Alteryx, Google Cloud BigQuery, Adobe Analytics, and Amazon Quick.

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

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: 4,121

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
  • LinkedIn® Page: www.linkedin.com
    89,711 employees on LinkedIn®
  • Ownership: NYSE:CRM

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 appreciate the ease of use in Tableau, allowing quick insights and interactive dashboard creation effortlessly.
  • Users find Tableau's simple and interactive data visualization essential for transforming complex data into actionable insights.
  • Users value the simple and interactive data visualization capabilities of Tableau, enhancing clarity and insights from complex data.
  • Users value Tableau's intuitive design and powerful visualization capabilities that facilitate quick insights and effective decision-making.
  • Users value the intuitive interface of Tableau, enabling effortless creation of engaging, clear data visualizations for insights.
Cons
  • Users experience a steep learning curve with Tableau, requiring time and effort to master its advanced features.
  • Users find the learning difficulty of Tableau challenging, especially for advanced features and new terminology.
  • Users find Tableau to be expensive, especially for small organizations, impacting accessibility and overall affordability.
  • Users experience slow performance with Tableau when processing large datasets, impacting usability and efficiency.
  • Users find formatting and implementation difficult, often feeling overwhelmed when trying to create tables effectively.

What Are Recent G2 Reviews of Tableau?

What Are G2 Users Discussing About Tableau?

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: 9,677

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
  • 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 Salesloft easy to use, appreciating its convenience in reducing admin tasks and connecting with calendars.
  • Users find Salesloft to be helpful for reducing admin tasks and enhancing productivity with convenient scheduling and analytics.
  • Users value the enhanced human support and seamless CRM integration that boost their productivity and reporting.
  • Users value the automation capabilities of Salesloft, enhancing productivity and simplifying activity tracking within their CRM.
  • Users value the time-saving features of Salesloft, which simplify admin tasks and streamline outreach processes.
Cons
  • Users find the missing features in Salesloft frustrating, particularly for sharing cadences and account hierarchy.
  • Users report call issues with Salesloft, including glitches and lack of VoIP options affecting communication efficiency.
  • Users face integration issues with Salesloft, experiencing email disconnects and security concerns that disrupt workflows.
  • Users find the learning curve steep, especially new SDRs facing challenges with cadences and setup complexities.
  • Users experience technical limitations with Salesloft, including syncing errors and challenges in sharing cadences across teams.

What Are Recent G2 Reviews of Salesloft?

What Are G2 Users Discussing About Salesloft?

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: 479

How Do G2 Users Rate IBM Cognos Analytics?

  • Has the product been a good partner in doing business?: 7.8/10 (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
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Who Uses This: Software Engineer, Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 56% 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, enjoying intuitive navigation and effortless data visualization.
  • Users value the easy report generation in IBM Cognos Analytics, enabling consistent reporting from multiple data sources effortlessly.
  • Users appreciate the powerful AI-driven insights and enterprise-grade reporting capabilities of IBM Cognos Analytics.
  • Users love the drag-and-drop visualization feature in IBM Cognos Analytics for quick and easy data insights.
  • Users appreciate the user-friendly interface of IBM Cognos Analytics, enhancing their ability to analyze and visualize data effortlessly.
Cons
  • Users note a steep learning curve for mastering advanced features, impacting the initial onboarding experience.
  • Users find it difficult to learn and navigate IBM Cognos Analytics, especially for retrieving historical data and building reports.
  • Users often experience slow performance when generating complex reports, requiring frequent resets and causing frustration.
  • Users find the complexity of report building in IBM Cognos Analytics challenging without extensive training.
  • Users often struggle with the complex usage of IBM Cognos Analytics, particularly during onboarding and learning advanced features.

What Are Recent G2 Reviews of IBM Cognos Analytics?

What Are G2 Users Discussing About IBM Cognos Analytics?

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SAS Viya

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

Average Rating: 4.3/5.0

Total Reviews: 793

How Do G2 Users Rate SAS Viya?

  • 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
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

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

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

Alteryx

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

Average Rating: 4.6/5.0

Total Reviews: 932

How Do G2 Users Rate Alteryx?

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

Who Is the Company Behind Alteryx?

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

Who Uses This Product?

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

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of Alteryx?

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: 1,159

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
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

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, appreciating its intuitive interface and fast query execution.
  • Users admire the fast query performance of Google Cloud BigQuery, enhancing their experience with large datasets.
  • Users value the fast querying capabilities of Google Cloud BigQuery, enabling efficient analysis of large datasets.
  • Users value the seamless SQL integration of BigQuery, enhancing data analytics in the Google Cloud ecosystem.
  • Users value the query efficiency of Google Cloud BigQuery, enjoying fast performance on large datasets with ease.
Cons
  • Users find the costs can escalate quickly without careful query optimization and monitoring on Google Cloud BigQuery.
  • Users experience query issues leading to escalated costs and unexpected behavior with special characters in BigQuery.
  • Users find that costs can escalate quickly with Google Cloud BigQuery due to unoptimized queries and large datasets.
  • Users report that costs can escalate quickly due to needing careful optimization and monitoring for large-scale queries.
  • Users find the learning curve steep for Google Cloud BigQuery, requiring significant time to master its features.

What Are Recent G2 Reviews of Google Cloud BigQuery?

What Are G2 Users Discussing About Google Cloud BigQuery?

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: 1,185

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
  • LinkedIn® Page: www.linkedin.com
    42,975 employees on LinkedIn®
  • Ownership: NASDAQ:ADBE

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 for effective data analysis and visualization.
  • Users love the advanced segmentation and customizable dashboards in Adobe Analytics, enabling detailed data analysis and visualization.
  • Users value the ease of use in Adobe Analytics, enabled by advanced segmentation and customizable dashboards for efficient data analysis.
  • Users love Adobe Analytics for its advanced segmentation and customizable dashboards, enhancing data analysis and visualization significantly.
  • Users value the customizable reporting in Adobe Analytics, enabling in-depth analysis and meaningful insights for marketing strategies.
Cons
  • Users struggle with a steep learning curve and complex setup in Adobe Analytics, making initial usage challenging.
  • Users often face a steep learning curve with Adobe Analytics, making setup and tracking complex and challenging for newcomers.
  • Users find Adobe Analytics expensive, particularly for smaller teams, and its complex setup adds to the overall burden.
  • Users experience slow performance with Adobe Analytics, especially when handling large datasets, impacting overall efficiency.
  • Users find the complexity of setup in Adobe Analytics challenging, especially for new users and smaller teams.

What Are Recent G2 Reviews of Adobe Analytics?

What Are G2 Users Discussing About Adobe Analytics?

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: 681

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?

Who Uses This Product?

  • Who Uses This: Data Analyst, Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 40% Small, 36% Medium

What Do G2 Reviewers Say About Amazon Quick?

AI-generated summary from verified user reviews

Pros
  • Users value the seamless integration of Amazon QuickSight with AWS services, enhancing their dashboard creation and management experience.
  • Users find Amazon QuickSight to be easy to use and implement, enhancing their data analysis and visualization experience.
  • Users value the easy integrations of Amazon Quick, allowing seamless interaction with AWS services for effective dashboard creation.
  • Users appreciate the data visualization capabilities of Amazon QuickSight, enhancing clarity and insight in analytics presentations.
  • Users value the easy integration and intuitive design of Amazon QuickSight for building interactive, scalable dashboards.
Cons
  • Users find the limited customization options in Amazon QuickSight frustrating, impacting ease of use and flexibility.
  • Users report a steep learning curve with Amazon QuickSight that hinders initial setup and overall usability.
  • Users often find limited visualization options in Amazon Quick, hindering the ability to customize and analyze data effectively.
  • Users find missing features in QuickSight, particularly in customization and advanced analytics compared to competitors.
  • Users feel the poor interface design hampers usability and needs to be more intuitive and user-friendly.

What Are Recent G2 Reviews of Amazon Quick?

What Are G2 Users Discussing About Amazon Quick?

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: 763

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
  • 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: Senior Consultant, Consultant
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 48% 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 of SAP Analytics Cloud, facilitating smooth training and effective data management.
  • Users value the integrated data analysis capabilities of SAP Analytics Cloud for seamless reporting and real-time insights.
  • Users appreciate the clean and effective data visualizations in SAP Analytics Cloud that enhance storytelling and reporting.
  • Users value the easy integrations of SAP Analytics Cloud, enhancing data flow and streamlining dashboard creation across teams.
  • Users value the integrated platform of SAP Analytics Cloud, combining BI, planning, and predictive analytics seamlessly.
Cons
  • Users experience slow performance during uploads and when handling large datasets, affecting usability and efficiency.
  • Users find the learning curve steep for SAP Analytics Cloud, particularly for non-technical users needing extra training.
  • Users find the learning difficulty high for SAP Analytics Cloud, requiring technical knowledge and external support for setup.
  • Users often experience performance issues, particularly with slow load times and complexity when handling large datasets.
  • Users often face performance lags with large datasets, making their experience less efficient and frustrating.

What Are Recent G2 Reviews of SAP Analytics Cloud?

What Are G2 Users Discussing About SAP Analytics Cloud?

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?

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?

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: 55

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, Higher Education
  • Company Size: 42% Large, 40% Small

What Do G2 Reviewers Say About Nixtla?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Nixtla, enabling quick forecasts with minimal setup and intuitive functions.
  • Users highlight the easy integrations of Nixtla, making it seamless to enhance existing ML workflows efficiently.
  • Users commend Nixtla for its outstanding customer support, highlighting their responsiveness and knowledge in assisting users.
  • Users commend the impressive range of models available in Nixtla, enhancing their data exploration and forecasting capabilities.
  • Users commend the implementation ease of Nixtla, enjoying quick setup and seamless integration with existing workflows.
Cons
  • Users note a lack of built-in diagnostics and support for geospatial data, complicating the forecasting process significantly.
  • Users find Nixtla to be quite expensive, making it less accessible for smaller companies and researchers.
  • Users find a lack of guidance in Nixtla's documentation, making advanced usage and configuration challenging.
  • Users find Nixtla's offerings limited in features, seeking more comprehensive tools for enhanced data science workflows.
  • Users find the learning curve steep due to a lack of detailed documentation for advanced use cases.

What Are Recent G2 Reviews of Nixtla?

JMP

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

Average Rating: 4.5/5.0

Total Reviews: 206

How Do G2 Users Rate JMP?

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

Who Is the Company Behind JMP?

Who Uses This Product?

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

What Do G2 Reviewers Say About JMP?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of JMP?

What Are G2 Users Discussing About JMP?

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?

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?

Bijou Barry
BB
Researched and written by Bijou Barry
Updated