# Best Analytics Platforms for Medium-Sized Businesses

## How Many Analytics Platforms Products Does G2 Track?

**Total Products under this Category:** 623

### Category Stats (Aug 2026)

- **Average Rating:** 4.5/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Zenlytic (+1.48%) - Among all products in this category, Zenlytic recorded the largest rating increase compared to last month

_Last updated: August 19, 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
- 623+ 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](https://www.g2.com/categories/analytics-platforms/grids.png?focus%5B%5D=1213&focus%5B%5D=29364&focus%5B%5D=10470&focus%5B%5D=604&focus%5B%5D=5048&focus%5B%5D=27024&focus%5B%5D=104521&focus%5B%5D=1327283)

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

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

**Sponsored**

### Holistics Data

Holistics is an AI analytics platform for teams that need governed, trustworthy answers across dashboards, self-service, and AI. It's built on a code-based semantic layer, so the metrics your team relies on stay consistent whether they're viewed in an embedded dashboard, explored by a business user, or surfaced through AI. With Holistics, you can: - Trust your AI analytics: Holistics AI reasons over your governed metric definitions rather than raw tables, so answers stay consistent with the numbers your team already uses. - Give business users real self-service: Business users can answer their own questions inside the governed semantic layer instead of filing analyst ticket. The layer is expressive enough to handle complex follow-ups—cohort retention, period comparisons, ratios across grains—so exploration doesn't dead-end in spreadsheets. - Manage analytics like software: Every model, metric, and dashboard is defined as code, version-controlled in Git, and promoted through environments. Pull requests, code review, and rollbacks all work the way they do for application code. How Holistics is built differently Most BI tools now ground their AI in a semantic layer, but the layer underneath can only express first-order queries (slice, filter, group). AI hits a ceiling on real analytical questions like period comparisons, cohort retention, and ratios across grains, and self-service stops at simple breakdowns. Holistics is built on a deeper foundation: 1/ A programmable semantic layer. Most BI tools define their semantic layer in YAML configs, which are schemaless, error-prone, and require Jinja workarounds for any reuse. Holistics uses AML, a typed modeling language where models, dimensions, measures, and relationships are first-class language constructs—with modules, extends, partials, conditionals, and IDE tooling. A real language built for analytics modeling, not generic key-value configs. 2/ A composable query language on top. Most semantic layers treat metrics as SQL strings that can't combine or reuse. AQL treats metrics as first-class composable objects, so period comparisons, cohort retention, and ratios across grains stay inside the metric layer instead of leaking into derived tables and spreadsheets. 3/ Analytics-as-code infrastructure. Most BI tools are UI-first with Git bolted on as an afterthought (if at all). In Holistics, every definition is version-controlled in Git from day one, reviewable through pull requests, and promotable through environments. Code is the source of truth. Key capabilities - Governed AI analytics that reasons over defined metrics, not raw tables. Programmable semantic layer (AML), a typed modeling language for metrics, dimensions, and relationships - Self-service exploration for non-technical users, safely bounded by the governed layer - Analytics-as-code: Git version control, pull-request review, and environment promotion from day one. - Interactive dashboards and reporting with filters, drill-downs, and scheduled delivery - Embedded analytics with embeddable AI chatbot, custom themes white-labeling and row-level security for customer-facing use cases

[Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list_llm&secure%5Bcategory_id%5D=620&secure%5Bchosen_at%5D=2026-08-27T06%3A57%3A47Z&secure%5Bdisplayable_resource_id%5D=620&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=620&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=19789&secure%5Bresource_id%5D=620&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fanalytics-platforms%2Fmid-market&secure%5Btoken%5D=ae6bdcb106eb31a7d656497ef66109105cad24cdbb52fc27c2cc19cf8b60f2e2&secure%5Burl%5D=https%3A%2F%2Fwww.holistics.io&secure%5Burl_type%5D=company_website)

### [Tableau](https://www.g2.com/products/tableau/reviews)

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

**Average Rating:** 4.4/5.0

**Total Reviews:** 3,685

#### How Do G2 Users Rate Tableau?

- **Has the product been a good partner in doing business?:** 8.6/10 (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:** 8.5/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Tableau?

- **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce)
- **Company Website:** www.salesforce.com
- **Year Founded:** 1999
- **HQ Location:** San Francisco, CA
- **Twitter:** @salesforce  
579,511 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c04f36289ca03aeff007197f1d9e74e925e328ed6bcfaff98911c78b3ab382f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3185%2F&secure%5Burl_type%5D=linkedin_company_website)  
83,223 employees on LinkedIn®

#### Who Uses This Product?

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

#### What Do G2 Reviewers Say About Tableau?

_AI-generated summary from verified user reviews_

##### Pros

- Users highlight the **ease of use** of Tableau, simplifying data visualization and integration for effective decision-making.
- Users value the **ease of creating interactive visualizations** with Tableau, simplifying data analysis from multiple sources.
- Users love the **intuitive and powerful visualization** capabilities of Tableau, enabling clear insights from complex data.
- Users appreciate the **ease of use and powerful visualization features** of Tableau, streamlining data presentation and analysis.
- Users find Tableau's **intuitive design** exceptional, enabling effortless data visualization and interactive dashboards for effective reporting.

##### Cons

- Users find the **learning curve steep** , complicating the onboarding process and integration with Salesforce.
- Users find **learning Tableau challenging** , particularly due to its complexity and difficulties in collaboration and calculations.
- Users find Tableau **expensive** , with costs complicating its value in large organizations and advanced functionalities.
- Users experience **slow performance** with large datasets and lengthy data refresh processes, leading to frustration.
- Users find **Tableau's onboarding complex** , making simple tasks unnecessarily complicated and challenging to switch from MS products.

#### What Are Recent G2 Reviews of Tableau?

**["Clear data means quick decisions."](https://www.g2.com/survey_responses/tableau-review-13124621)**

**Rating:** 4.5/5.0 stars

_— Libia B._

[Read full review](https://www.g2.com/survey_responses/tableau-review-13124621)

**["Tableau Turns Operational Data into Clear, Interactive Dashboards"](https://www.g2.com/survey_responses/tableau-review-13340689)**

**Rating:** 4.0/5.0 stars

_— Priyanshu R._

[Read full review](https://www.g2.com/survey_responses/tableau-review-13340689)

#### What Are G2 Users Discussing About Tableau?

- [How are business intelligence professionals using Tableau's latest visualization tools to interpret complex data sets?](https://www.g2.com/discussions/how-are-business-intelligence-professionals-using-tableau-s-latest-visualization-tools-to-interpret-complex-data-sets) - 2 comments
- [What is Salesforce CRM Analytics (formerly Tableau CRM) used for?](https://www.g2.com/discussions/what-is-salesforce-crm-analytics-formerly-tableau-crm-used-for) - 1 comment
- [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/tableau-do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments
- [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments
- [What's New in Tableau Server?](https://www.g2.com/discussions/what-s-new-in-tableau-server) - 1 comment

### [Microsoft Power BI](https://www.g2.com/products/microsoft-microsoft-power-bi/reviews)

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:** 1,605

#### 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](https://www.g2.com/sellers/microsoft)
- **Year Founded:** 1975
- **HQ Location:** Redmond, Washington
- **Twitter:** @microsoft  
13,091,739 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9458f51bd6ded48ad432a804f19ad736469f007787569b63827154231c315630&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fmicrosoft%2F&secure%5Burl_type%5D=linkedin_company_website)  
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 value the **seamless data integration** capabilities of Power BI, enhancing accessibility across various data sources and platforms.

##### 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?

**["Power BI Makes Data Insights Clear and Interactive"](https://www.g2.com/survey_responses/microsoft-power-bi-review-13347821)**

**Rating:** 5.0/5.0 stars

_— Madhav K._

[Read full review](https://www.g2.com/survey_responses/microsoft-power-bi-review-13347821)

**["Power BI Makes Real-Time Dashboards Easy with Seamless Excel & Cloud Integration"](https://www.g2.com/survey_responses/microsoft-power-bi-review-12290482)**

**Rating:** 4.5/5.0 stars

_— Anubhav K._

[Read full review](https://www.g2.com/survey_responses/microsoft-power-bi-review-12290482)

#### What Are G2 Users Discussing About Microsoft Power BI?

- [What is Microsoft Power BI Desktop used for?](https://www.g2.com/discussions/what-is-microsoft-power-bi-desktop-used-for) - 4 comments, 1 upvote
- [What are some of the top features of Microsoft BI?](https://www.g2.com/discussions/what-are-some-of-the-top-features-of-microsoft-bi) - 3 comments
- [Is Power BI a Microsoft tool?](https://www.g2.com/discussions/is-power-bi-a-microsoft-tool) - 5 comments, 3 upvotes
- [What can Microsoft Power BI do?](https://www.g2.com/discussions/what-can-microsoft-power-bi-do) - 2 comments, 2 upvotes
- [What is Microsoft Power BI desktop?](https://www.g2.com/discussions/what-is-microsoft-power-bi-desktop) - 2 comments

### [Databricks](https://www.g2.com/products/databricks/reviews)

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.

**Average Rating:** 4.6/5.0

**Total Reviews:** 1,332

#### How Do G2 Users Rate Databricks?

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

#### Who Is the Company Behind Databricks?

- **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc)
- **Company Website:** databricks.com
- **Year Founded:** 2013
- **HQ Location:** San Francisco, CA
- **Twitter:** @databricks  
92,269 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bddca64732f61b923d96364e8c8eb35711aab4f98797cb00ab071ff24fbdd392&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3477522%2F&secure%5Burl_type%5D=linkedin_company_website)  
15,627 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Data Analyst
- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 47% Large, 38% Medium

#### What Do G2 Reviewers Say About Databricks?

_AI-generated summary from verified user reviews_

##### Pros

- Users enjoy the **ease of use and extensive features** of Databricks, streamlining data warehousing and machine learning tasks.
- Users appreciate the **ease of use** of Databricks, enhancing their experience with its intuitive interface and efficient features.
- Users value the **seamless integrations with AWS services** that enhance efficiency and support diverse business needs.
- Users value the **seamless collaboration** provided by Databricks, enhancing teamwork on data projects and insights sharing.
- Users value the **wide array of integrated analytical features** in Databricks, enhancing efficiency and collaboration in data projects.

##### Cons

- Users face a **steep learning curve** with Databricks, as its complexity can be confusing for newcomers.
- Users note that the **cost of Databricks can be quite high** , particularly for large data projects and limited free options.
- Users find the **steep learning curve** of Databricks challenging, particularly for those unfamiliar with big data tools.
- Users find the **complexity** of Databricks challenging, especially during initial setup and navigation of advanced features.
- Users encounter **complex setup** challenges with Databricks initially, but support helps resolve issues quickly.

#### What Are Recent G2 Reviews of Databricks?

**["Reliable Platform for Building Scalable Data Pipelines"](https://www.g2.com/survey_responses/databricks-review-13198355)**

**Rating:** 5.0/5.0 stars

_— aravind k._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13198355)

**["Databricks Streamlines ETL and Analytics with Scalable Notebooks"](https://www.g2.com/survey_responses/databricks-review-13181721)**

**Rating:** 5.0/5.0 stars

_— Diana C._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13181721)

#### What Are G2 Users Discussing About Databricks?

- [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments, 1 upvote
- [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments
- [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 3 upvotes
- [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes

### [Domo](https://www.g2.com/products/domo/reviews)

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:** 1,071

#### 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](https://www.g2.com/sellers/domo)
- **Company Website:** www.domo.com
- **Year Founded:** 2010
- **HQ Location:** American Fork, UT
- **Twitter:** @Domotalk  
63,513 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=930264e423425693f202ced16a30f6d197bcd60a8bf42ced6ba13de91b09312c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F25237%2F&secure%5Burl_type%5D=linkedin_company_website)  
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?

**["Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"](https://www.g2.com/survey_responses/domo-review-13128007)**

**Rating:** 5.0/5.0 stars

_— Renee G._

[Read full review](https://www.g2.com/survey_responses/domo-review-13128007)

**["Fast, Reliable Dashboarding with Quick Data Connections in Domo"](https://www.g2.com/survey_responses/domo-review-13150907)**

**Rating:** 4.5/5.0 stars

_— Katie S._

[Read full review](https://www.g2.com/survey_responses/domo-review-13150907)

#### What Are G2 Users Discussing About Domo?

- [What is Domo used for?](https://www.g2.com/discussions/what-is-domo-used-for) - 1 comment
- [How much does Domo cost?](https://www.g2.com/discussions/how-much-does-domo-cost)
- [What is Domo data?](https://www.g2.com/discussions/what-is-domo-data)
- [Is Domo any good?](https://www.g2.com/discussions/is-domo-any-good)
- [What does Domo software do?](https://www.g2.com/discussions/what-does-domo-software-do)

### [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews)

Kyvos is a semantic layer for AI and BI. It gives organizations a single, consistent, business-friendly view of their entire data estate. By standardizing how data is defined and understood, Kyvos eliminates metric drift across BI tools and ensures that LLMs and AI agents work with governed business semantics rather than raw tables. Kyvos also delivers lightning-fast analytics at massive scale and high concurrency — including granular multidimensional analysis on the cloud — without the sluggish query times and escalating cloud costs that typically come with it. Why Organizations Use Kyvos Unified Semantic Foundation for AI and BI Kyvos semantic layer standardizes how metrics, KPIs, dimensions, hierarchies, relationships, calculations, and business rules are modelled across the enterprise — so that dashboards, analytics tools, notebooks, and AI systems all operate on the same understanding of the business. Kyvos enables: - Shared semantics — one common data language across every tool, team, and system - Governed access — data exploration within defined security, role, and permission boundaries - Platform interoperability — consistent semantic context across diverse platforms and environments - AI readiness — LLMs and agents work with governed business semantics rather than raw tables or ambiguous schema AI Grounded in Business Context Kyvos grounds AI systems in the governed semantic model, ensuring they operate on established business context rather than raw schemas — improving the accuracy, traceability, and reliability of AI-generated insights. Consistent Metrics Across BI Tools Kyvos centralizes metric and KPI definitions in the semantic layer and applies them consistently across every analytics interface — eliminating metric drift and improving trust in analytics. High-Performance Analytics at Scale Kyvos delivers high-performance analytics that scale with demand, enabling: - Sub-second query performance across massive datasets - High concurrency across thousands of users and workloads - Consistent response times regardless of data volume or concurrency - No performance degradation as adoption grows - Multidimensional Analytics on the Cloud Kyvos enables deep multidimensional analytics, supporting: - Granular analysis across billions of rows - Thousands of measures and dimensions in a single model - Fast drill-down across complex hierarchies - Full analytical depth without sacrificing query speed Cloud Cost Efficiency Kyvos serves analytics through its semantic layer rather than routing every query to the warehouse — reducing compute consumption across analytics and AI workloads. As adoption grows, organizations can scale users, workloads, and analytical complexity without a corresponding rise in warehouse compute costs.

**Average Rating:** 4.8/5.0

**Total Reviews:** 267

#### How Do G2 Users Rate Kyvos Semantic Layer?

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.2/10)
- **Steps to Answer:** 9.3/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.6/10 (Category avg: 8.8/10)
- **Calculated Fields:** 9.4/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Kyvos Semantic Layer?

- **Seller:** [Kyvos Insights](https://www.g2.com/sellers/kyvos-insights)
- **Company Website:** www.kyvosinsights.com
- **Year Founded:** 2014
- **HQ Location:** Los Gatos, CA
- **Twitter:** @KyvosInsights  
689 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=900350c47a6a807c4765a28f52dcdbf3c06a5325a45d905c54e56a79e545cf9d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fkyvos-insights-inc-%2F&secure%5Burl_type%5D=linkedin_company_website)  
152 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Senior Software Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 57% Medium, 38% Large

#### What Do G2 Reviewers Say About Kyvos Semantic Layer?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Kyvos, allowing quick access to insights and simplifying complex data management.
- Users appreciate the **fast data processing** of Kyvos, enabling instant analysis and visualization of large datasets.
- Users value the **remarkable speed and performance** of Kyvos, enabling swift data analytics for large datasets.
- Users appreciate the **lightning-fast analytics** of Kyvos Semantic Layer, making data processing and visualization seamless and efficient.
- Users value the **fast querying capabilities** of Kyvos Semantic Layer, enabling quick analysis of large data volumes.

##### Cons

- Users find the **learning curve steep** for Kyvos, especially with advanced features and MDX queries requiring specialized knowledge.
- Users find the **difficult setup** of Kyvos Semantic Layer challenging, despite effective support easing the process.
- Users find the **initial setup and MDX complexity** challenging, though support significantly eases the deployment process.
- Users find **feature limitations** in Kyvos, particularly lacking advanced analytics and graphical options for data visualization.
- Users note that there can be **connectivity issues** during integration, but support helps ease the process over time.

#### What Are Recent G2 Reviews of Kyvos Semantic Layer?

**["Fast, Consistent Data Exploration Across Dimensions with Kyvos Semantic Layer"](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12911098)**

**Rating:** 5.0/5.0 stars

_— ashish r._

[Read full review](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-12911098)

**["Kyvos Semantic Layer Boosts AI Accuracy with Business-Ready Data"](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-13142366)**

**Rating:** 5.0/5.0 stars

_— Nikhil K._

[Read full review](https://www.g2.com/survey_responses/kyvos-semantic-layer-review-13142366)

### [Looker](https://www.g2.com/products/looker/reviews)

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:** 1,591

#### 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](https://www.g2.com/sellers/google)
- **Year Founded:** 1998
- **HQ Location:** Mountain View, CA
- **Twitter:** @google  
31,899,995 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=fe4a5936665c9702418dd53c477fef5a7baea08078bb117ed67e966fc581b9ec&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1441%2F&secure%5Burl_type%5D=linkedin_company_website)  
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?

**["Interactive Dashboards and Real-Time Insights Shine"](https://www.g2.com/survey_responses/looker-review-12641794)**

**Rating:** 4.0/5.0 stars

_— Jeni J._

[Read full review](https://www.g2.com/survey_responses/looker-review-12641794)

**["Powerful Insights with a Worthwhile Learning Curve"](https://www.g2.com/survey_responses/looker-review-13353514)**

**Rating:** 4.5/5.0 stars

_— Kaushik G._

[Read full review](https://www.g2.com/survey_responses/looker-review-13353514)

#### What Are G2 Users Discussing About Looker?

- [What is Looker used for?](https://www.g2.com/discussions/what-is-looker-used-for) - 2 comments
- [Why is looker so powerful?](https://www.g2.com/discussions/why-is-looker-so-powerful)
- [Is looker an ETL tool?](https://www.g2.com/discussions/is-looker-an-etl-tool) - 4 comments
- [What is Looker software?](https://www.g2.com/discussions/what-is-looker-software)

### [Sigma](https://www.g2.com/products/sigma-computing-sigma/reviews)

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](https://www.g2.com/sellers/sigma-computing)
- **Company Website:** www.sigmacomputing.com
- **Year Founded:** 2014
- **HQ Location:** San Francisco, California
- **Twitter:** @sigmacomputing  
1,556 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5e14ee06cc1c883d366c909e7de99c7c57ae9e81a07430a53fa07ee0dbfed5f4&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F7801411%2F&secure%5Burl_type%5D=linkedin_company_website)  
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 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?

**["Easiest BI Tool: Live Snowflake Data in a Spreadsheet-Like Experience"](https://www.g2.com/survey_responses/sigma-review-12573150)**

**Rating:** 4.0/5.0 stars

_— Keerthan P._

[Read full review](https://www.g2.com/survey_responses/sigma-review-12573150)

**["Sigma unlocks data value for our organization"](https://www.g2.com/survey_responses/sigma-review-10895340)**

**Rating:** 5.0/5.0 stars

_— Austin M._

[Read full review](https://www.g2.com/survey_responses/sigma-review-10895340)

#### What Are G2 Users Discussing About Sigma?

- [What is Sigma used for?](https://www.g2.com/discussions/what-is-sigma-used-for) - 1 comment

### [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)

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

**Average Rating:** 4.3/5.0

**Total Reviews:** 774

#### How Do G2 Users Rate SAS Viya?

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.2/10)
- **Steps to Answer:** 8.1/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.8/10)
- **Calculated Fields:** 8.3/10 (Category avg: 8.5/10)

#### Who Is the Company Behind SAS Viya?

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Company Website:** www.sas.com
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®

#### Who Uses This Product?

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

#### What Do G2 Reviewers Say About SAS Viya?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in SAS Viya, enhancing data visualization and decision-making for businesses.
- Users appreciate the **advanced analytical capabilities** of SAS Viya, making data analysis and decision-making more efficient.
- Users value the **sophisticated analytical capabilities** of SAS Viya, enhancing decision-making and insights from diverse data sources.
- Users value the **end-to-end data lifecycle tooling** in SAS Viya, enhancing insights and strategic decision-making capabilities.
- Users commend SAS Viya for its **user-friendly interface** , making complex analytics accessible to individuals of all skill levels.

##### Cons

- Users find SAS Viya **difficult for non-technical users** to navigate, impacting ease of access to reports and dashboards.
- Users find the **learning curve challenging** , especially for non-technical individuals navigating reports and dashboards.
- Users find the **visualization complexity** of SAS Viya challenging, especially for those without technical expertise.
- Users find the **difficult learning curve** for SAS Viya challenging, especially for non-technical users attempting to access features.
- Users find the **expensive pricing** of SAS Viya a potential barrier, complicating their decision-making process.

#### What Are Recent G2 Reviews of SAS Viya?

**["Effective Data Analysis with SAS Viya"](https://www.g2.com/survey_responses/sas-viya-review-11872818)**

**Rating:** 4.5/5.0 stars

_— Fungai J._

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11872818)

**["SAS Viya: Powerful AI & Data Analysis with Seamless Integrations"](https://www.g2.com/survey_responses/sas-viya-review-11855145)**

**Rating:** 5.0/5.0 stars

_— Verified User in Hospital & Health Care_

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11855145)

#### What Are G2 Users Discussing About SAS Viya?

- [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments

### [Hex](https://www.g2.com/products/hex-tech-hex/reviews)

Hex is the world’s favorite AI Analytics platform. With Hex, anyone can explore data using natural language, with or without code, all on trusted context, in one AI-powered platform. Get started now \> https://app.hex.tech/signup?source=g2 Get a demo \> https://hex.tech/request-a-demo/?source=g2

**Average Rating:** 4.5/5.0

**Total Reviews:** 403

#### How Do G2 Users Rate Hex?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.2/10)
- **Steps to Answer:** 7.6/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.3/10 (Category avg: 8.8/10)
- **Calculated Fields:** 7.7/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Hex?

- **Seller:** [Hex Tech](https://www.g2.com/sellers/hex-tech)
- **Company Website:** hex.tech
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **Twitter:** @\_hex\_tech  
6,982 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=18531fc4e6d51a8771f4a2f229024fea767874199650a484a62b89cd4abe5f24&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhex-technologies%2F&secure%5Burl_type%5D=linkedin_company_website)  
280 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Data Scientist
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 53% Medium, 22% Small

#### What Do G2 Reviewers Say About Hex?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Hex to be **user-friendly** , highlighting its seamless integrations and fast implementation as major advantages.
- Users love the **seamless integration of SQL with Python** , enhancing their analytical capabilities in Hex effortlessly.
- Users appreciate the **seamless data management** capabilities of Hex, enabling effortless integration and collaboration.
- Users value the **effortless integration of SQL and Python** in Hex, enhancing data analysis and visualization capabilities.
- Users appreciate the **seamless data analysis and reporting** capabilities of Hex, enhancing collaboration and interactivity.

##### Cons

- Users criticize the **limited features** of Hex, noting insufficient capabilities compared to standard BI tools like Tableau.
- Users find the **missing features** in Hex frustrating, desiring better data visualization and result management capabilities.
- Users find Hex **lacking features** , especially in dashboarding and advanced functionalities that impact usability and efficiency.
- Users experience **slow performance** with Hex, especially within virtual machines and due to limited computational capacity.
- Users often face **data management issues** with kernel failures and GPU integration, complicating their experience with Hex.

#### What Are Recent G2 Reviews of Hex?

**["All-in-One Collaborative Workspace for SQL, Python, and Interactive Dashboards"](https://www.g2.com/survey_responses/hex-review-13125920)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/hex-review-13125920)

**["Amazing AI and SQL Autocomplete That Speeds Up My Work"](https://www.g2.com/survey_responses/hex-review-12687305)**

**Rating:** 4.0/5.0 stars

_— Paco R._

[Read full review](https://www.g2.com/survey_responses/hex-review-12687305)

#### What Are G2 Users Discussing About Hex?

- [What is Hex Technologies used for?](https://www.g2.com/discussions/what-is-hex-technologies-used-for)

### [Alteryx](https://www.g2.com/products/alteryx/reviews)

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

**Average Rating:** 4.6/5.0

**Total Reviews:** 864

#### 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](https://www.g2.com/sellers/alteryx)
- **Company Website:** www.alteryx.com
- **Year Founded:** 1997
- **HQ Location:** Irvine, CA
- **Twitter:** @alteryx  
26,149 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae8a7629c5a6d593caff29361a6ee3fb670df11992dd94a9656c66461078b340&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F903031%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,304 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analyst
- **Top Industries:** Financial Services, Accounting
- **Company Size:** 63% 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?

**["Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow"](https://www.g2.com/survey_responses/alteryx-review-13190742)**

**Rating:** 4.5/5.0 stars

_— Anushka S._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13190742)

**["Scales Operations and Saves Time with Automated Data Workflows"](https://www.g2.com/survey_responses/alteryx-review-13047637)**

**Rating:** 4.5/5.0 stars

_— Ihor B._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13047637)

### [Oracle Analytics Cloud](https://www.g2.com/products/oracle-analytics-cloud/reviews)

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](https://www.g2.com/sellers/oracle)
- **Year Founded:** 1977
- **HQ Location:** Austin, TX
- **Twitter:** @Oracle  
827,997 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a14fcbcd818b49d781453c19628a9479a70cc1e8e335e54c876392ab5f543da3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1028%2F&secure%5Burl_type%5D=linkedin_company_website)  
208,078 employees on LinkedIn®
- **Ownership:** NYSE:ORCL

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Financial Services
- **Company Size:** 61% Large, 27% 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?

**["Fast Navigation, Customizable Oracle Analytics Cloud, and Strong Automation"](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-5176664)**

**Rating:** 4.0/5.0 stars

_— Shawn A._

[Read full review](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-5176664)

**["Transform complex data into actionable insights!"](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-12093722)**

**Rating:** 4.0/5.0 stars

_— Gaurav G._

[Read full review](https://www.g2.com/survey_responses/oracle-analytics-cloud-review-12093722)

#### What Are G2 Users Discussing About Oracle Analytics Cloud?

- [What is Oracle Analytics Cloud used for?](https://www.g2.com/discussions/what-is-oracle-analytics-cloud-used-for)
- [How do I import an RPD into Oracle Analytics Cloud?](https://www.g2.com/discussions/how-do-i-import-an-rpd-into-oracle-analytics-cloud)
- [What comes out of the box with Oracle Analytics for applications?](https://www.g2.com/discussions/what-comes-out-of-the-box-with-oracle-analytics-for-applications)
- [What's New in Oracle Analytics Cloud?](https://www.g2.com/discussions/what-s-new-in-oracle-analytics-cloud)
- [What is Oracle Analytics Cloud?](https://www.g2.com/discussions/oracle-analytics-cloud-what-is-oracle-analytics-cloud)

### [Amazon Quick](https://www.g2.com/products/amazon-quick/reviews)

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:** 677

#### 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)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 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:** 40% Small, 36% 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?

**["Fast, Serverless BI with Seamless AWS Integration"](https://www.g2.com/survey_responses/amazon-quick-review-11692248)**

**Rating:** 4.5/5.0 stars

_— Jawher S._

[Read full review](https://www.g2.com/survey_responses/amazon-quick-review-11692248)

**["Streamlined Reporting with Robust Features"](https://www.g2.com/survey_responses/amazon-quick-review-11360363)**

**Rating:** 4.0/5.0 stars

_— Dilip Kumar P._

[Read full review](https://www.g2.com/survey_responses/amazon-quick-review-11360363)

#### What Are G2 Users Discussing About Amazon Quick?

- [What is Amazon QuickSight used for?](https://www.g2.com/discussions/what-is-amazon-quicksight-used-for) - 2 comments, 1 upvote
- [What is new in QuickSight?](https://www.g2.com/discussions/what-is-new-in-quicksight) - 1 comment, 1 upvote
- [Is AWS QuickSight free?](https://www.g2.com/discussions/is-aws-quicksight-free) - 2 comments, 1 upvote
- [How does AWS QuickSight work?](https://www.g2.com/discussions/how-does-aws-quicksight-work) - 2 comments, 1 upvote
- [What is Amazon QuickSight?](https://www.g2.com/discussions/what-is-amazon-quicksight) - 2 comments, 1 upvote

### [Count](https://www.g2.com/products/count/reviews)

Count is a modern data collaboration platform that helps data teams actually work together. It combines a data notebook with a real-time collaborative canvas for analysis and visualisation, so everyone can query, debug, and explore data in one place. Count replaces the mess of disconnected tools with a single workspace where analysts, engineers, and stakeholders can write SQL or Python, build visualisations, and share insights instantly. You can import and debug dbt models, see live results from connected CTEs, and export back to dbt Cloud, GitHub, or full SQL scripts. Used by over 500 data teams, including Accenture, Cleo AI, and Too Good To Go, Count helps teams move beyond static dashboards and focus on solving real business problems. It’s data collaboration that actually works.

**Average Rating:** 4.8/5.0

**Total Reviews:** 105

#### How Do G2 Users Rate Count?

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.2/10)
- **Steps to Answer:** 8.6/10 (Category avg: 8.4/10)
- **Reports Interface:** 8.5/10 (Category avg: 8.8/10)
- **Calculated Fields:** 8.8/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Count?

- **Seller:** [Count Technologies](https://www.g2.com/sellers/count-technologies)
- **Company Website:** count.co
- **Year Founded:** 2016
- **HQ Location:** London, United Kingdom
- **Twitter:** @counthq  
2,104 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=0956a6d964e88b30e56b745e48884aede87f2b5b2e3f6bde528e191321aec5b7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcounthq%2F&secure%5Burl_type%5D=linkedin_company_website)  
26 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analytics Engineer
- **Top Industries:** Financial Services, Information Technology and Services
- **Company Size:** 78% Medium, 10% Large

#### What Do G2 Reviewers Say About Count?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive team collaboration** features of Count, facilitating smoother workflows and interactive data analysis.
- Users appreciate the **ease of use** of Count, which simplifies data exploration and analysis for all team members.
- Users value the **responsive and helpful customer support** from Count, enhancing their overall data experience and usability.
- Users value the **flexibility** of Count, enabling easy data understanding and seamless integration of diverse analytics tools.
- Users love the **flexibility in data visualization** with Count, enhancing exploratory analysis and real-time collaboration.

##### Cons

- Users note a **steep learning curve** , requiring training for those unfamiliar with similar canvas models and tools.
- Users experience **slow performance** with Count when handling large canvases or numerous data cells, affecting efficiency.
- Users express a desire for **more customization options** , particularly for dashboards and visual reports within Count.
- Users note the **missing features** in Count, limiting usability and creating barriers for self-service data analysis.
- Users experience **layout issues** that can make navigation and organization difficult, affecting the overall usability of Count.

#### What Are Recent G2 Reviews of Count?

**["Flexible, User-Friendly Collaboration for SQL & Python Analysis with Solid LLM Integration"](https://www.g2.com/survey_responses/count-review-12870160)**

**Rating:** 4.5/5.0 stars

_— Timothy L._

[Read full review](https://www.g2.com/survey_responses/count-review-12870160)

**["Count Streamlines SQL, Python, and Collaborative Data Storytelling"](https://www.g2.com/survey_responses/count-review-13126061)**

**Rating:** 4.5/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/count-review-13126061)

### [Incorta](https://www.g2.com/products/incorta/reviews)

Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling direct analysis on raw, source-identical data, Incorta provides faster, more accurate insights while removing barriers to exploration. With intuitive low-code/no-code tools, AI-powered querying through Nexus, and prebuilt business data applications, enterprise teams can quickly surface insights, break down technical roadblocks, and make smarter decisions without heavy engineering effort. For more information, please visit www.incorta.com.

**Average Rating:** 4.4/5.0

**Total Reviews:** 55

#### How Do G2 Users Rate Incorta?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.2/10)
- **Steps to Answer:** 9.2/10 (Category avg: 8.4/10)
- **Reports Interface:** 9.3/10 (Category avg: 8.8/10)
- **Calculated Fields:** 9.0/10 (Category avg: 8.5/10)

#### Who Is the Company Behind Incorta?

- **Seller:** [Incorta](https://www.g2.com/sellers/incorta)
- **Company Website:** www.incorta.com
- **Year Founded:** 2013
- **HQ Location:** San Mateo, CA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c8c59dc8a9a75b9a6418a91d4025810db481465cf5bce72225b97c66bb082527&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fincorta%2F&secure%5Burl_type%5D=linkedin_company_website)  
348 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 56% Large, 29% Medium

#### What Do G2 Reviewers Say About Incorta?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of integration** with diverse data sources, enhancing their data management efficiency.
- Users value the **easy integrations** with various data sources, enhancing their data analysis experience significantly.
- Users value the **ease of integration** with various data sources, enhancing their workflow and data management.

##### Cons

- Users often face **bugs related to outdated JRE support** , impacting the performance of the local data agent.

#### What Are Recent G2 Reviews of Incorta?

**["Great platformand support"](https://www.g2.com/survey_responses/incorta-review-10853785)**

**Rating:** 5.0/5.0 stars

_— Jeff W._

[Read full review](https://www.g2.com/survey_responses/incorta-review-10853785)

**["Facilitating presentation and information access"](https://www.g2.com/survey_responses/incorta-review-9467627)**

**Rating:** 5.0/5.0 stars

_— Elsayed H._

[Read full review](https://www.g2.com/survey_responses/incorta-review-9467627)

#### What Are G2 Users Discussing About Incorta?

- [Is Incorta a data warehouse?](https://www.g2.com/discussions/is-incorta-a-data-warehouse)
- [What is Incorta?](https://www.g2.com/discussions/what-is-incorta)
- [What do you know about Incorta?](https://www.g2.com/discussions/what-do-you-know-about-incorta)
- [What is Incorta used for?](https://www.g2.com/discussions/what-is-incorta-used-for) - 1 comment

### [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews)

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](https://www.g2.com/sellers/ibm)
- **Company Website:** www.ibm.com
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
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 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 value the **dashboard customization** in Cognos Analytics, making complex data visuals clear and understandable.
- Users appreciate the **data visualization capabilities** of IBM Cognos Analytics, enhancing understanding and insights effortlessly.

##### 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?

**["Powerful Reporting, Less Modern Interface"](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146)**

**Rating:** 4.0/5.0 stars

_— Nunna H._

[Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146)

**["Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance"](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)**

**Rating:** 4.0/5.0 stars

_— Arkajit D._

[Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)

#### What Are G2 Users Discussing About IBM Cognos Analytics?

- [What is IBM Cognos Analytics with Watson used for?](https://www.g2.com/discussions/what-is-ibm-cognos-analytics-with-watson-used-for) - 1 comment

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