Best Analytics Platforms with Self Service Capabilities

How Many Analytics Platforms Products Does G2 Track?

Total Products under this Category: 598

Category Stats (Sep 2026)

  • Average Rating: 4.51/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: BlazeSQL (+2.75%) - Among all products in this category, BlazeSQL recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Analytics Platforms Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 29,000+ Authentic Reviews
  • 598+ 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, SAS Viya, Alteryx, Domo, Looker, and Kyvos Semantic Layer.

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=sas-sas-viya&focus%5B%5D=alteryx&focus%5B%5D=domo&focus%5B%5D=looker&focus%5B%5D=kyvos-semantic-layer)

Microsoft Power BI

Power BI Desktop puts visual analytics at your fingertips. With this powerful authoring tool, you can create interactive data visualizations and reports. Connect, mash up, model, and visualize your data. Place visuals exactly where you want them, analyze and explore your data, and share content with others by publishing to the Power BI web service. Power BI Desktop is part of the Power BI product suite. To monitor key data and share dashboards and reports, use the Power BI web service. To view and interact with your data on any mobile device, get the Power BI Mobile app on the AppStore, Google Play or the Microsoft Store. To embed stunning, fully interactive reports and visuals into your applications use Power BI Embedded.

Average Rating: 4.5/5.0

Total Reviews: 1,603

How Do G2 Users Rate Microsoft Power BI?

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

Who Is the Company Behind Microsoft Power BI?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    231,632 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Who Uses This: Data Analyst, Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 42% Large, 38% Medium

What Do G2 Reviewers Say About Microsoft Power BI?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Microsoft Power BI, allowing accessible data analysis for everyone.
  • Users find Power BI’s data visualization capabilities excellent for creating customized reports and dashboards quickly.
  • Users value the seamless integrations of Power BI, enabling efficient data connectivity and enhanced organizational analysis.
  • Users praise the powerful data analytics and visualization capabilities of Microsoft Power BI for insightful reporting.
  • Users love the powerful charting features in Power BI, enabling easy data visualization and report creation.
Cons
  • Users find the learning curve steep for Power BI, especially for beginners trying to connect data sources effectively.
  • Users find the slow performance of Power BI frustrating, especially when handling large datasets without optimization.
  • Users face performance issues with Power BI, especially regarding DAX queries and handling large data volumes, causing frustration.
  • Users often find data modeling complexities in Power BI challenging, leading to a steep learning curve and performance issues.
  • Users find the limited customization options in Power BI frustrating, constraining their ability to present data effectively.

What Are Recent G2 Reviews of Microsoft Power BI?

What Are G2 Users Discussing About Microsoft Power BI?

Tableau

Tableau es la plataforma de análisis impulsada por IA líder en el mundo. Ya sea que seas un usuario de negocios o un analista, Tableau convierte datos confiables en información procesable. Con nuestra plataforma flexible e interoperable, puedes: Convertir datos en acción a escala con la colaboración humana y de agentes. Tableau Next ofrece IA agéntica para flujos de trabajo de datos-insight-acción más rápidos. Destaca insights, proporciona recomendaciones proactivas y te ayuda a tomar acción en el flujo de trabajo. Escalar insights basados en datos con total confianza operativa. Tableau Cloud permite análisis completamente gestionados a escala. Acelera tu tiempo para obtener valor y te da acceso a las últimas innovaciones impulsadas por IA. Desplegar análisis visuales de autoservicio con un control y flexibilidad incomparables. Tableau Server satisface las necesidades de gobernanza y seguridad de tu organización. Proporciona análisis de autoservicio de nivel empresarial en las instalaciones o en tu nube privada.

Average Rating: 4.4/5.0

Total Reviews: 3,685

How Do G2 Users Rate Tableau?

  • ¿Ha sido the product un buen socio para hacer negocios?: 8.6/10 (Category avg: 9.2/10)
  • Pasos para responder: 8.3/10 (Category avg: 8.4/10)
  • Interfaz de informes: 8.7/10 (Category avg: 8.8/10)
  • Campos calculados: 8.5/10 (Category avg: 8.5/10)

Who Is the Company Behind Tableau?

  • Vendedor: Salesforce
  • Sitio web de la empresa:
  • Año de fundación: 1999
  • Ubicación de la sede: San Francisco, CA
  • Twitter: @salesforce
    579,511 seguidores en Twitter
  • Página de LinkedIn®: www.linkedin.com
    83,223 empleados en LinkedIn®

Who Uses This Product?

  • Who Uses This: Analista de Datos, Analista de Negocios
  • Top Industries: Tecnología de la información y servicios, Software de Computadora
  • Company Size: 41% Large, 36% Medium

What Do G2 Reviewers Say About Tableau?

AI-generated summary from verified user reviews

Pros
  • Los usuarios destacan la facilidad de uso de Tableau, simplificando la visualización de datos y la integración para una toma de decisiones efectiva.
  • Los usuarios valoran la facilidad de crear visualizaciones interactivas con Tableau, simplificando el análisis de datos de múltiples fuentes.
  • A los usuarios les encantan las capacidades de visualización intuitivas y potentes de Tableau, que permiten obtener claros conocimientos a partir de datos complejos.
  • Los usuarios aprecian la facilidad de uso y las potentes características de visualización de Tableau, que simplifican la presentación y el análisis de datos.
  • Los usuarios encuentran el diseño intuitivo de Tableau excepcional, permitiendo una visualización de datos sin esfuerzo y paneles interactivos para informes efectivos.
Cons
  • Los usuarios encuentran la curva de aprendizaje empinada, lo que complica el proceso de incorporación e integración con Salesforce.
  • Los usuarios encuentran aprender Tableau desafiante, particularmente debido a su complejidad y dificultades en la colaboración y los cálculos.
  • Los usuarios encuentran Tableau caro, con costos que complican su valor en grandes organizaciones y funcionalidades avanzadas.
  • Los usuarios experimentan rendimiento lento con grandes conjuntos de datos y largos procesos de actualización de datos, lo que lleva a la frustración.
  • Los usuarios encuentran el proceso de incorporación de Tableau complejo, haciendo que tareas simples sean innecesariamente complicadas y desafiantes al cambiar desde productos de MS.

What Are Recent G2 Reviews of Tableau?

What Are G2 Users Discussing About Tableau?

Domo

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: 1,069

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?

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: 1,590

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
    341,888 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?

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: 4.4/5.0

Total Reviews: 544

How Do G2 Users Rate Sigma?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.4/10 (Category avg: 8.4/10)
  • Reports Interface: 8.6/10 (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
    1,415 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: 58% Medium, 21% 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 find that Sigma greatly enhances data handling, streamlining processing and visualization for daily project tasks.
  • Users appreciate the responsive customer support of Sigma, ensuring quick resolution of issues and helpful follow-ups.
  • 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?

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: 437

How Do G2 Users Rate IBM Cognos Analytics?

  • Has the product been a good partner in doing business?: 7.8/10 (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
    328,202 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Analyst
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 58% Large, 26% 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 appreciate the data visualization capabilities of IBM Cognos Analytics, enhancing understanding and insights effortlessly.
  • Users value the intuitive user interface of IBM Cognos Analytics, enhancing data comprehension and report creation efforts.
  • Users value the dashboard customization in Cognos Analytics, making complex data visuals clear and understandable.
  • Users appreciate the efficiency of IBM Cognos Analytics, benefiting from quick report generation and clear visualizations.
Cons
  • Users find the learning curve steep, requiring significant time and training to effectively utilize IBM Cognos Analytics.
  • Users find the pricing of IBM Cognos Analytics to be expensive, impacting overall satisfaction despite its features.
  • 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.

What Are Recent G2 Reviews of IBM Cognos Analytics?

What Are G2 Users Discussing About IBM Cognos Analytics?

GoodData.AI

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

Average Rating: 4.3/5.0

Total Reviews: 592

How Do G2 Users Rate GoodData.AI?

  • Has the product been a good partner in doing business?: 8.4/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.3/10 (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 GoodData.AI?

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

Who Uses This Product?

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

What Do G2 Reviewers Say About GoodData.AI?

AI-generated summary from verified user reviews

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

What Are Recent G2 Reviews of GoodData.AI?

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
    208,078 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • 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 appreciate the flexibility of Oracle Analytics Cloud, enabling fast analysis with minimal technical effort for all users.
  • Users praise the seamless integrations of Oracle Analytics Cloud, enhancing data management and collaboration across the organization.
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 è l'unica suite di analisi che combina con successo dashboard basate su azioni con analisi automatizzata leader nel settore e narrazione dei dati. Fornendo la migliore esperienza analitica, Yellowfin offre ai tuoi utenti modi unici per interagire e agire sui loro dati, e risponde alle esigenze di analisti di dati, utenti aziendali, clienti e sviluppatori che vogliono costruire, distribuire o utilizzare esperienze analitiche straordinarie. Analisi per aziende di software Integra e incorpora analisi con una differenza nella tua app, a modo tuo * Sostituisci strumenti di reporting legacy o sviluppati internamente * Incorpora una suite di analisi moderna e self-service * Offri un'esperienza cliente eccezionale Analisi per imprese Ottieni più valore dai tuoi dati in modi nuovi e innovativi * Migra dai fogli di calcolo a una piattaforma di analisi moderna * Sostituisci applicazioni BI legacy * Incorpora analisi nei flussi di lavoro operativi Costruttori di Applicazioni Analitiche Sfrutta la tua esperienza nel dominio per creare prodotti di dati che deliziano * Crea applicazioni uniche basate sui dati * Chiudi il cerchio sull'analisi * Offri approfondimenti come servizio

Average Rating: 4.4/5.0

Total Reviews: 419

How Do G2 Users Rate Yellowfin BI?

  • Ritiene che the product sia stato un valido partner commerciale?: 8.9/10 (Category avg: 9.2/10)
  • Passaggi per rispondere: 8.0/10 (Category avg: 8.4/10)
  • Interfaccia dei Rapporti: 8.6/10 (Category avg: 8.8/10)
  • Campi Calcolati: 8.2/10 (Category avg: 8.5/10)

Who Is the Company Behind Yellowfin BI?

  • Venditore: Yellowfin
  • Anno di Fondazione: 2003
  • Sede centrale: Austin, Texas
  • Twitter: @YellowfinBI
    5,783 follower su Twitter
  • Pagina LinkedIn®: www.linkedin.com
    64 dipendenti su LinkedIn®

Who Uses This Product?

  • Who Uses This: General Manager, Business Analyst
  • Top Industries: Software per computer, Tecnologia dell'informazione e servizi
  • Company Size: 46% Small, 35% Medium

What Do G2 Reviewers Say About Yellowfin BI?

AI-generated summary from verified user reviews

Pros
  • Gli utenti apprezzano l'interfaccia intuitiva di Yellowfin BI, che consente la creazione di dashboard e la visualizzazione dei dati senza problemi.
  • Gli utenti apprezzano le capacità di visualizzazione dei dati user-friendly di Yellowfin BI, che consentono una reportistica facile ed efficace.
  • Gli utenti apprezzano l'interfaccia intuitiva di Yellowfin BI, che consente una configurazione rapida e una facile creazione di report senza sfide tecniche.
  • Gli utenti elogiano l'interfaccia intuitiva di Yellowfin BI, che consente una rapida creazione di dashboard e una facile esplorazione dei dati.
  • Gli utenti apprezzano la personalizzazione rapida e semplice del cruscotto di Yellowfin BI, che consente una visualizzazione dei dati rapida ed efficace.
Cons
  • Gli utenti spesso sperimentano una ripida curva di apprendimento con Yellowfin BI, specialmente per le funzionalità avanzate e la personalizzazione.
  • Gli utenti segnalano difficoltà con la gestione di grandi quantità di dati in Yellowfin BI, notando rallentamenti delle prestazioni e tempi lunghi di aggiornamento dei filtri.
  • Gli utenti sperimentano prestazioni lente con grandi set di dati in Yellowfin BI, influenzando l'efficienza e la soddisfazione degli utenti.
  • Gli utenti spesso affrontano problemi di prestazioni con Yellowfin BI, inclusi tempi di caricamento lenti per grandi set di dati e dashboard complessi.
  • Gli utenti trovano personalizzazione limitata in Yellowfin BI, influenzando l'analisi avanzata e la capacità di creare visualizzazioni su misura.

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: 749

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
    141,955 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?

Luzmo

Customers choose Luzmo to give their users clean, intuitive analytics directly inside their product, without forcing them into a separate BI tool. Reviews highlight how fast teams can move from raw data to fully branded dashboards, how easy it is for non‑technical users to explore and customize their own views, and how seamless the embedding experience feels. Many users call out Luzmo’s customer‑first support and dedicated CSMs as a key reason they can roll out new analytics experiences quickly and keep improving them over time.

Average Rating: 4.6/5.0

Total Reviews: 70

How Do G2 Users Rate Luzmo?

  • Has the product been a good partner in doing business?: 9.4/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.2/10 (Category avg: 8.4/10)
  • Reports Interface: 8.8/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.1/10 (Category avg: 8.5/10)

Who Is the Company Behind Luzmo?

  • Seller: Luzmo NV
  • Year Founded: 2015
  • HQ Location: Brooklyn, US
  • Twitter: @luzmo_official
    895 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    49 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: CEO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 59% Small, 32% Medium

What Do G2 Reviewers Say About Luzmo?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of Luzmo, enabling quick dashboard creation without a steep learning curve.
  • Users value Luzmo's embedding features, enabling fast, integrated analytics that enhance user experience and engagement.
  • Users value the customization capabilities of Luzmo, enabling tailored solutions and efficient management of diverse tenant applications.
  • Users commend Luzmo for its intuitive interface and rapid deployment, significantly enhancing analytics and user engagement.
  • Users find the setup process of Luzmo incredibly easy, facilitating quick deployment and enhancing overall experience.
Cons
  • Users find Luzmo's complexity burdensome, with challenges in setup, performance, and dashboard editing capabilities.
  • Users face limited options for complex queries and chart configurations in Luzmo, impacting their data management experience.
  • Users face performance issues with large datasets, experiencing lags and sync problems that hinder productivity.
  • Users experience table limitations in Luzmo, hindering complex queries and chart functionalities in their data management.
  • Users face performance and sync issues with larger datasets, impacting efficiency and usability within Luzmo.

What Are Recent G2 Reviews of Luzmo?

What Are G2 Users Discussing About Luzmo?

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 Inc.
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    18,638 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?

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
    1,556 employees on LinkedIn®
  • Ownership: ETR:RIB

Who Uses This Product?

  • Company Size: 50% Medium, 42% Small

What Are Recent G2 Reviews of datapine?

Intellicus

Intellicus helps organizations put their data to work and helps business leaders gain actionable insights. Driven by AI, auto ML and sophisticated machine learning models, Intellicus helps CXOs use data to accelerate their growth. Intellicus Technologies tailor solutions based on your needs, instead of retrofitting them to ‘customizable’ one-size-fits-all solutions. Intellicus offers end-to-end data integration through ETL, integrating sophisticated databases, ERP solutions, legacy systems, telephony, ACDs till flat file systems into a data warehouse that becomes the single source of truth. Intellicus’ self-serve reporting, OLAP capabilities and interactive analytics dashboards allow users to drill down & drill up, zoom out or slice-and-dice data to create a 360-degree view of the business. Auto-ML based what-if predictions deliver power and agility to small and large enterprises so that they can make business critical decisions based on science. Ready to take the next step in your digital transformation? Write to marketing@intellicus.com today

Average Rating: 4.6/5.0

Total Reviews: 119

How Do G2 Users Rate Intellicus?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.2/10)
  • Steps to Answer: 8.3/10 (Category avg: 8.4/10)
  • Reports Interface: 8.7/10 (Category avg: 8.8/10)
  • Calculated Fields: 8.3/10 (Category avg: 8.5/10)

Who Is the Company Behind Intellicus?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 59% Medium, 23% Large

What Do G2 Reviewers Say About Intellicus?

AI-generated summary from verified user reviews

Pros
  • Users love the live dashboards of Intellicus for their fresh metrics and effective daily check-ins.
  • Users value the ease of use of Intellicus, enjoying its user-friendly interface and seamless data handling.
  • Users value the high-speed OLAP feature of Intellicus for its insightful data analytics and easy setup.
  • Users value the dashboard customization in Intellicus, enhancing their ability to tailor reports and metrics efficiently.
  • Users value the user-friendly interface of Intellicus, enabling easy dashboard creation and report customization without IT support.
Cons
  • Users find difficult learning curve in Intellicus, especially those without a coding background struggling to adapt.
  • Users find Intellicus to have a steep learning curve, often feeling overwhelmed by its complex interface and setup.
  • Users note that complex usability can hinder new users, making tasks challenging compared to tools like Power BI or Tableau.
  • Users find the learning difficulty with Intellicus challenging, particularly for those without a coding background.
  • Users find the complexity of advanced features challenging, requiring expertise for effective report and workflow creation.

What Are Recent G2 Reviews of Intellicus?

What Are G2 Users Discussing About Intellicus?

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
    110 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?