Best Analytics Platforms with Search Capabilities

How Many Analytics Platforms Products Does G2 Track?

Total Products under this Category: 607

Category Stats (Oct 2026)

  • Average Rating: 4.52/5 (↑0.01 vs Sep 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: inzicht (+3.71%) - Among all products in this category, inzicht recorded the largest rating increase compared to last month

Last updated: October 13, 2026

How Does G2 Rank Analytics Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 29,800+ Authentic Reviews
  • 607+ 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 Analytics Platforms

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

Highlighted products: Microsoft Power BI, Tableau, Databricks, Alteryx, SAS Viya, Domo, Sigma, and Looker.

Underlying data: [Grid® JSON](https://www.g2.com/categories/analytics-platforms/grids.json?focus%5B%5D=microsoft-microsoft-power-bi&focus%5B%5D=tableau&focus%5B%5D=databricks&focus%5B%5D=alteryx&focus%5B%5D=sas-sas-viya&focus%5B%5D=domo&focus%5B%5D=sigma-computing-sigma&focus%5B%5D=looker)

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: 920

How Do G2 Users Rate Alteryx?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.6/10 (Category avg: 8.4/10)
  • Reports Interface: 8.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.9/10 (Category avg: 8.5/10)

Who Is the Company Behind Alteryx?

  • Seller: Alteryx
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • Twitter: @alteryx
    26,149 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 61% Large, 21% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Alteryx, finding it simple to automate tasks with drag and drop functionality.
  • Users value the automation capabilities of Alteryx, streamlining data processes and enhancing analytical efficiency.
  • Users find Alteryx to be very intuitive, making it easy for non-technical users to learn and utilize.
  • Users find that Alteryx's interface makes learning technology easy for everyone, even those without a tech background.
  • Users value Alteryx for its efficiency in managing data, streamlining workflows, and enhancing overall productivity.
Cons
  • Users highlight the expensive pricing of Alteryx, making it difficult for small teams or startups to afford licenses.
  • Users face a steep learning curve with Alteryx, requiring time to master its complex features.
  • Users find that Alteryx suffers from missing features, such as lack of direct database access and limited reporting tools.
  • Users find the learning difficulty of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
  • Users experience slow performance with Alteryx, particularly when handling large workflows and during data wrangling tasks.

What Are Recent G2 Reviews of Alteryx?

Domo

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

Average Rating: 4.3/5.0

Total Reviews: 1,074

How Do G2 Users Rate Domo?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.9/10 (Category avg: 8.4/10)
  • Reports Interface: 8.5/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Domo?

  • Seller: Domo
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

Who Uses This Product?

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

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

Sigma

Sigma is the AI runtime layer for analytics, agents, and apps built on live warehouse data. It is a cloud analytics and business intelligence platform that helps business and technical teams explore live data, build reports and applications, and deploy AI agents directly on a cloud data warehouse, using a familiar spreadsheet interface alongside SQL, Python, and AI. - Analytics: Use Sigma for classic business intelligence workloads like pixel-perfect reporting, embedded analytics, and self-service access to data in an Excel-like interface. Build with AI, spreadsheet functions, SQL, or Python. - Agents: Deploy AI agents that act on live data and run multi-step workflows. Build them with natural language and your choice of enterprise LLM or warehouse AI. - Apps: Build AI Apps for operational work like planning and forecasting, scenario modeling, and approval routing, with writeback and governance automatically configured. Every artifact in Sigma inherits the security, permissions, and row-level access already set in the cloud data warehouse. Because governance is enforced at the source, anything a team builds is IT-approved from the start. Sigma solves a persistent tradeoff in enterprise data work. Business teams typically wait on a central data team to build reports and tools, while ad hoc AI and app-building tools produce work that sits outside IT's control. Sigma removes that tradeoff by keeping analysis, reporting, applications, and agents on live warehouse data under one set of permissions, so non-technical users build what they need while IT keeps a single, auditable system of control. Founded in 2014, Sigma is a privately held company headquartered in San Francisco, with offices in New York, London, and Sydney. More than 2,000 companies trust Sigma, including DoorDash, Blackstone, JPMorgan Chase, and Figma. Sigma is the business intelligence partner of the year for both Snowflake (2023-2026) and Databricks (2025-2026).

Average Rating: 4.5/5.0

Total Reviews: 587

How Do G2 Users Rate Sigma?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.5/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.7/10 (Category avg: 8.5/10)

Who Is the Company Behind Sigma?

  • Seller: Sigma Computing
  • Company Website:
  • Year Founded: 2014
  • HQ Location: San Francisco, California
  • Twitter: @sigmacomputing
    1,556 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,417 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Customer Success Manager
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 56% Medium, 24% Large

What Do G2 Reviewers Say About Sigma?

AI-generated summary from verified user reviews

Pros
  • Users find Sigma's ease of use refreshing, allowing for quick learning and a straightforward setup process.
  • Users value the user-friendly interface of Sigma, facilitating easy metric management and dashboard creation.
  • Users appreciate the responsive customer support of Sigma, ensuring quick resolution of issues and helpful follow-ups.
  • Users find that Sigma greatly enhances data handling, streamlining processing and visualization for daily project tasks.
  • Users appreciate how Sigma provides clear, interactive visuals for simplifying complex datasets and tracking KPIs.
Cons
  • Users experience slow loading times with Sigma, causing inefficiencies and frustration during use.
  • Users experience slow performance with Sigma, particularly when handling complex tasks or large datasets, causing frustration.
  • Users find the limited customization of Sigma's charts and visualizations to be a drawback in their workflow.
  • Users experience a steep learning curve with Sigma, finding the dashboard building process unintuitive and challenging.
  • Users find Sigma lacks basic features like custom visualizations and flexible formatting, limiting advanced usage.

What Are Recent G2 Reviews of Sigma?

What Are G2 Users Discussing About Sigma?

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Looker

Looker, Google Cloud’s business intelligence platform, enables you to chat with your data. Organizations turn to Looker for self-service and governed BI, to build custom applications with trusted metrics, or to bring Looker modeling to their existing environment. The result is improved data engineering efficiency and true business transformation.

Average Rating: 4.4/5.0

Total Reviews: 1,589

How Do G2 Users Rate Looker?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.2/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.4/10 (Category avg: 8.5/10)

Who Is the Company Behind Looker?

  • 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 Analyst, Data Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 60% Medium, 20% Large

What Do G2 Reviewers Say About Looker?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use of Looker, making report creation simple for those with limited technical skills.
  • Users value the dynamic real-time reporting abilities of Looker, enhancing collaboration and decision-making across digital ad platforms.
  • Users love the easy integrations with various data sources, enhancing their analytics experience on Looker.
  • Users appreciate the seamless integrations with platforms like Salesforce, enhancing functionality and user experience in Looker.
  • Users appreciate the dynamic and real-time reporting capabilities of Looker, enhancing data sharing for digital ads.
Cons
  • Users find Looker's steep learning curve challenging, especially with LookML, making onboarding for beginners difficult.
  • Users find the steep learning curve of Looker challenging, especially for those lacking technical expertise.
  • Users experience slow loading times with Looker, particularly when handling larger datasets, complicating dashboard creation.
  • Users often experience slow performance with Looker, particularly during data loading and complex transformations.
  • Users find Looker to have high complexity, struggling with learning curves and limited visuals, affecting overall usability.

What Are Recent G2 Reviews of Looker?

What Are G2 Users Discussing About Looker?

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: 440

How Do G2 Users Rate IBM Cognos Analytics?

  • Has the product been a good partner in doing business?: 7.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.6/10 (Category avg: 8.4/10)
  • Reports Interface: 8.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.1/10 (Category avg: 8.5/10)

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?

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: 9.2/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.4/10)
  • Reports Interface: 8.2/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.0/10 (Category avg: 8.5/10)

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?

Oracle Analytics Cloud

Oracle Analytics Cloud is a comprehensive cloud analytics platform that empowers you to fundamentally change how you analyze and act on information. Empower leaders, analysts, and IT to access data from wherever they are, even using mobile devices. Oracle Analytics Cloud helps organizations discover unique insights faster with machine learning. With augmented analytics, combine data from across your organization with third-party data and automate important and time-consuming tasks such as data preparation, visualization, forecasting, and reporting.

Average Rating: 4.1/5.0

Total Reviews: 293

How Do G2 Users Rate Oracle Analytics Cloud?

  • Has the product been a good partner in doing business?: 7.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.9/10 (Category avg: 8.4/10)
  • Reports Interface: 8.4/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Oracle Analytics Cloud?

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

Who Uses This Product?

  • Who Uses This: Senior Consultant
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 61% Large, 28% Medium

What Do G2 Reviewers Say About Oracle Analytics Cloud?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the robust self-service analytics tools of Oracle Analytics Cloud, enabling seamless data exploration and collaboration.
  • Users appreciate the strong data visualization capabilities of Oracle Analytics Cloud, simplifying analysis for all organizational levels.
  • Users appreciate the intuitive and accessible interface of Oracle Analytics Cloud, enhancing data exploration across all technical levels.
  • Users value the scalability of Oracle Analytics Cloud, allowing for customizable solutions tailored to their evolving needs.
  • Users appreciate the customized business improvement solutions Oracle Analytics Cloud offers, enhancing collaborative analytics for organizations.
Cons
  • Users often struggle with the high learning curve of Oracle Analytics Cloud, making initial adoption challenging for beginners.
  • Users find the complexity of Oracle Analytics Cloud daunting, especially during initial setup and configuration for new users.
  • Users find the complex usage of Oracle Analytics Cloud daunting, particularly during initial setup and advanced feature navigation.
  • Users find the limited customization options inadequate for highly specialized requirements in Oracle Analytics Cloud.
  • Users express concern over the infrequent software updates that lead to potential security vulnerabilities in Oracle Analytics Cloud.

What Are Recent G2 Reviews of Oracle Analytics Cloud?

What Are G2 Users Discussing About Oracle Analytics Cloud?

Yellowfin BI

Yellowfin BI is a data analytics platform that helps users make faster decisions, trusted by over 29,000 organizations and 3 million end-users worldwide for over two decades. Built for both embedded and enterprise BI use cases, with strong data security and governance, it can be deployed on-premise, in the cloud, or in hybrid environments. The platform uses AI to proactively surface trends and outliers, answer questions asked in natural language, and transform data into interactive stories and live reports that decision-makers actually use. The latest release of Yellowfin BI can build verifiable reports from a single question, utilize the AI model of your choice to create actionable analytical stories, and allow users to ask contextual follow-up questions about any surfaced data point, bringing more confidence to critical business decisions.

Average Rating: 4.4/5.0

Total Reviews: 419

How Do G2 Users Rate Yellowfin BI?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Yellowfin BI?

  • Seller: Yellowfin
  • Year Founded: 2003
  • HQ Location: Austin, US
  • Twitter: @yellowfinbi
    5,783 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    64 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: General Manager, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 46% Small, 35% Medium

What Do G2 Reviewers Say About Yellowfin BI?

AI-generated summary from verified user reviews

Pros
  • Users value the user-friendly interface of Yellowfin BI, enabling seamless dashboard creation and data visualization.
  • Users value the user-friendly data visualization capabilities of Yellowfin BI, enabling easy and effective reporting.
  • Users appreciate the intuitive interface of Yellowfin BI, enabling quick setup and easy report creation without technical challenges.
  • Users praise the user-friendly interface of Yellowfin BI, enabling quick dashboard creation and easy data exploration.
  • Users value the quick and easy dashboard customization of Yellowfin BI, enabling rapid and effective data visualization.
Cons
  • Users often experience a steep learning curve with Yellowfin BI, especially for advanced features and customization.
  • Users report challenges with large data handling in Yellowfin BI, noting performance slowdowns and lengthy filter refresh times.
  • Users experience slow performance with large datasets in Yellowfin BI, impacting efficiency and user satisfaction.
  • Users often face performance issues with Yellowfin BI, including slow loading times for large datasets and complex dashboards.
  • Users find limited customization in Yellowfin BI, affecting advanced analytics and the ability to create tailored visualizations.

What Are Recent G2 Reviews of Yellowfin BI?

What Are G2 Users Discussing About Yellowfin BI?

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: 9.2/10)
  • Steps to Answer: 8.0/10 (Category avg: 8.4/10)
  • Reports Interface: 8.3/10 (Category avg: 8.8/10)
  • Calculated Fields: 7.9/10 (Category avg: 8.5/10)

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?

datapine

datapine is a business intelligence & dashboarding platform that is focused on self-service, but also offers advanced analytics features such as predictive analytics or intelligent data alerts based on artificial intelligence and machine learning. With a few clicks, datapine integrates dozens of data sources such as databases, flat files, marketing analytics, social media data, CRM, and ERP data as well as helpdesk data. Thanks to an intuitive user interface, users of all skill levels can visualize and make sense of complex data by asking important questions and receiving answers immediately. The core of the product are dynamic, interactive business dashboards, that help to share insights within the organization effectively. datapine enables managers to data scientists to explore, visualize, analyze and report data in one central analytics platform and empowers modern, KPI driven businesses to grow further. datapine is a RIB Software GmbH solution.

Average Rating: 4.6/5.0

Total Reviews: 26

How Do G2 Users Rate datapine?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.2/10)
  • Steps to Answer: 10.0/10 (Category avg: 8.4/10)
  • Reports Interface: 10.0/10 (Category avg: 8.8/10)
  • Calculated Fields: 10.0/10 (Category avg: 8.5/10)

Who Is the Company Behind datapine?

  • Seller: RIB Software
  • Year Founded: 1961
  • HQ Location: Stuttgart, DE
  • Twitter: @RIB_Global
    1,214 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,426 employees on LinkedIn®
  • Ownership: ETR:RIB

Who Uses This Product?

  • Company Size: 50% Medium, 42% Small

What Are Recent G2 Reviews of datapine?

SAS Enterprise Guide

SAS Enterprise Guide is a Windows-based client application that provides a user-friendly, point-and-click interface to the powerful analytics capabilities of SAS software. Designed to cater to both novice and experienced users, it facilitates data access, management, analysis, and reporting without the need for extensive programming knowledge. By integrating a wide array of analytical tasks with an intuitive graphical interface, SAS Enterprise Guide empowers users to efficiently conduct complex analyses and share results across their organization. Key Features and Functionality: - Intuitive Interface and Wizards: Offers guided access to SAS capabilities, from basic reporting to advanced analyses, through flexible wizards and an intuitive process flow diagram facility. - Comprehensive Analytical Tasks: Includes over 100 prebuilt tasks for descriptive statistics, predictive modeling, regression analysis, and more, enabling users to perform complex analyses without writing code. - Data Management: Provides a powerful graphical query builder for accessing and manipulating various data types, including SAS datasets and native Windows data types, without requiring SQL expertise. - OLAP Access and Visualization: Supports dynamic slicing, drilling, and pivoting of data for exploration, with integration capabilities for SAS OLAP Server and other third-party vendors supporting OLE DB for OLAP. - Result Distribution and Sharing: Facilitates the distribution of results through multiple channels, including SAS BI report/content repository, Microsoft Office documents, and email, ensuring seamless sharing and collaboration. - High-Performance Computing and Grid Enablement: Automatically detects grid environments for efficient processing, analyzes SAS programs to optimize performance, and enables parallel execution of tasks on the same server. Primary Value and User Solutions: SAS Enterprise Guide addresses the need for a self-service analytics environment that empowers business analysts and other users to perform sophisticated data analyses without relying heavily on IT departments. By providing guided access to data integration, preparation, analytics, and reporting, it enables users to quickly access data, conduct analyses, and distribute results, thereby accelerating decision-making processes. The integration with SAS Viya further enhances its capabilities, allowing users to leverage modern, cloud-based platforms for scalable and efficient analytics. This comprehensive toolset ultimately helps organizations harness their data effectively, leading to more informed business decisions and improved operational efficiency.

Average Rating: 4.3/5.0

Total Reviews: 112

How Do G2 Users Rate SAS Enterprise Guide?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 9.2/10)
  • Steps to Answer: 7.9/10 (Category avg: 8.4/10)
  • Reports Interface: 8.4/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind SAS Enterprise Guide?

  • Seller: SAS Institute
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Top Industries: Banking, Hospital & Health Care
  • Company Size: 57% Large, 26% Medium

What Do G2 Reviewers Say About SAS Enterprise Guide?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SAS Enterprise Guide, making it accessible for beginners and non-technical users.
  • Users appreciate the flexible interface of SAS Enterprise Guide, combining coding and GUI features for enhanced usability.
  • Users laud SAS Enterprise Guide for its comprehensive data analysis capabilities, enhancing real-time decision-making efficiency.
  • Users value the effective data visualization in SAS Enterprise Guide, enhancing analytics and decision-making processes.
  • Users find the ease of learning in SAS Enterprise Guide exceptional, suitable for both beginners and experts alike.
Cons
  • Users experience slow performance in SAS Enterprise Guide, facing difficulties in data handling and debugging.
  • Users find the complex usage of SAS Enterprise Guide challenging, especially first-time navigation through the GUI.
  • Users find the clunky interface challenging, struggling with navigation and complex options within SAS Enterprise Guide.
  • Users report bugs and slowness, making data manipulation challenging and frustrating in SAS Enterprise Guide.
  • Users face integration issues that hinder connectivity with certain systems, impacting overall usability and functionality.

What Are Recent G2 Reviews of SAS Enterprise Guide?

What Are G2 Users Discussing About SAS Enterprise Guide?

ThoughtSpot

ThoughtSpot is the Agentic Analytics Platform company for the enterprise. With natural language and AI, ThoughtSpot empowers everyone in an organization to ask data questions, get answers, and take action. Code-first for data teams and code-free for business users, ThoughtSpot is intuitive enough for anyone to use, yet built to handle large, complex cloud data at scale. Customers like Coca-Cola, Hilton Worldwide, and Capital One are unlocking the full potential of their data with ThoughtSpot.

Average Rating: 4.4/5.0

Total Reviews: 331

How Do G2 Users Rate ThoughtSpot?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.6/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind ThoughtSpot?

  • Seller: ThoughtSpot
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Mountain View, CA
  • Twitter: @thoughtspot
    10,975 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,781 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 43% Medium

What Do G2 Reviewers Say About ThoughtSpot?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of ThoughtSpot, finding it simple to create insights and build visuals.
  • Users value the real-time insights from ThoughtSpot, enhancing organizational growth through accurate and actionable data analysis.
  • Users value ThoughtSpot for its powerful analytics capabilities that enhance data insights and engagement tracking.
  • Users praise the intuitive interface of ThoughtSpot, enabling effortless data exploration and insights for everyone.
  • Users appreciate the excellent data visualization capabilities of ThoughtSpot, making insights easy to understand and validate.
Cons
  • Users acknowledge a steep learning curve for new features, particularly for those unfamiliar with analytics or data visualization.
  • Users note the missing features in ThoughtSpot, such as limited reusability and underwhelming visualization capabilities.
  • Users find the complexity of ThoughtSpot frustrating, with formulas failing and a lack of intuitive guidance.
  • Users face a learning difficulty with ThoughtSpot, finding it non-intuitive and lacking clear guidance for effective use.
  • Users find the limited customization options in ThoughtSpot restrictive, impacting their ability to tailor visualizations effectively.

What Are Recent G2 Reviews of ThoughtSpot?

What Are G2 Users Discussing About ThoughtSpot?

TARGIT Decision Suite

TARGIT brings expertise to key verticals to help their customers make data-driven decisions. They drive lasting value with business intelligence (BI) and analytics solutions that support your unique goals and the processes that power your day-to-day operations. Experience love at first sight with TARGIT Decision Suite, their all-in-one business intelligence (BI) and analytics platform that's intuitive, versatile, and accessible for every employee. TARGIT Decision Suite helps companies integrate, visualize, and share data better and faster than ever before. Their solution combines the control of a centralized BI solution with the flexibility of a decentralized solution, with robust security and dependability. Plus, it easily integrates with your existing systems and continually adapts to your needs, even as your organization grows. Recognized as a Global Leader in Vendor Credibility by Dresner three years in a row and Leader in BI Excellence by BARC eight years in a row, TARGIT prides itself on supporting our customers through continuous innovation, insightful recommendations, and a people-first business model.

Average Rating: 4.2/5.0

Total Reviews: 17

How Do G2 Users Rate TARGIT Decision Suite?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.1/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 6.8/10 (Category avg: 8.5/10)

Who Is the Company Behind TARGIT Decision Suite?

  • Seller: Targit
  • Year Founded: 1986
  • HQ Location: Aalborg, Denmark
  • LinkedIn® Page: www.linkedin.com
    105 employees on LinkedIn®
  • Phone: 813-933-4600

Who Uses This Product?

  • Company Size: 53% Medium, 29% Large

What Are Recent G2 Reviews of TARGIT Decision Suite?

Kyubit Business Intelligence

Kyubit Business Intelligence is a self-hosted BI and analytics platform for organizations that want secure, flexible reporting without relying on cloud-only infrastructure or per-user licensing. Kyubit connects directly to existing Microsoft SSAS / OLAP multidimensional and Tabular models, while also allowing organizations to turn SQL databases, Excel, and CSV data into analytics-ready semantic models using a visual, no-code modeling environment. Business users and analysts can quickly explore data with drag-and-drop grid analysis, drill-downs, slicers, calculated measures, time intelligence, ad hoc reporting, interactive dashboards, KPIs, and scheduled report delivery. Kyubit is designed for organizations that want to keep their analytics and business data within their own infrastructure while still providing modern self-service analytics across teams. Key capabilities include: • Self-hosted and on-premise BI deployment • Deep support for Microsoft SSAS / OLAP and Tabular models • Visual semantic modeling for SQL databases, Excel, and CSV data • Advanced grid analysis and ad hoc reporting • Interactive dashboards, charts, KPIs, and scorecards • Time intelligence and period comparison • Scheduled reports and email subscriptions • Embedded analytics using HTML and JavaScript • Role-based security and centralized governance • Multitenant deployment for serving multiple organizations • White-label options for enterprise deployments • Perpetual and annual subscription licensing Kyubit is particularly well suited to organizations already using Microsoft Analysis Services or relational databases that want to extend their existing data infrastructure with a lightweight, web-based analytics layer. Unlike many cloud BI platforms, Kyubit can be deployed entirely within the customer's own environment and uses server/edition-based licensing rather than requiring a separate cloud subscription for every report consumer. The result is a practical BI platform for self-service analytics, operational reporting, dashboarding, embedded BI, and governed enterprise analytics — while maintaining control over data, infrastructure, and licensing.

Average Rating: 4.4/5.0

Total Reviews: 12

How Do G2 Users Rate Kyubit Business Intelligence?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.2/10)
  • Reports Interface: 8.1/10 (Category avg: 8.8/10)
  • Calculated Fields: 7.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Kyubit Business Intelligence?

Who Uses This Product?

  • Company Size: 42% Small, 42% Medium

What Are Recent G2 Reviews of Kyubit Business Intelligence?

SAS Visual Analytics

SAS® Visual Analytics is a single application for reporting, data exploration and analytics that empowers everyone to easily discover and share powerful insights. https://www.youtube.com/watch?v=vWiNNoXYZG8

Average Rating: 4.4/5.0

Total Reviews: 207

How Do G2 Users Rate SAS Visual Analytics?

  • Has the product been a good partner in doing business?: 8.7/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.6/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind SAS Visual Analytics?

  • Seller: SAS Institute
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Who Uses This: Student
  • Top Industries: Banking, Higher Education
  • Company Size: 42% Large, 32% Small

What Do G2 Reviewers Say About SAS Visual Analytics?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of SAS Visual Analytics, enabling quick insights without technical expertise.
  • Users value the seamless integration of SAS Visual Analytics with various data sources, enhancing their analytical experience.
  • Users find SAS Visual Analytics to be easy to use for data analysis, enabling efficient exploration and insight generation.
  • Users appreciate the dynamics of data visualization in SAS Visual Analytics, simplifying insights and dashboard creation.
  • Users value the dynamic charting features of SAS Visual Analytics, enhancing data exploration and insight sharing easily.
Cons
  • Users experience slow performance with large datasets and complex reports, impacting overall efficiency and responsiveness.
  • Users note that SAS Visual Analytics is expensive, which may deter businesses from adopting its functionalities.
  • Users often face bugs and integration difficulties with other programming languages, impacting their overall experience.
  • Users find the interface complexity of SAS Visual Analytics hinders ease of use and user-friendliness.
  • Users find the complexity of the interface to be a barrier to effective use of SAS Visual Analytics.

What Are Recent G2 Reviews of SAS Visual Analytics?

What Are G2 Users Discussing About SAS Visual Analytics?