# Best Data Visualization Tools

## How Many Data Visualization Tools Products Does G2 Track?

**Total Products under this Category:** 477

### Category Stats (Jul 2026)

- **Average Rating:** 4.44/5 (↑0.01 vs Jun 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Graphviz (+0.9%) - Among all products in this category, Graphviz recorded the largest rating increase compared to last month

_Last updated: July 25, 2026_

## How Does G2 Rank Data Visualization Tools Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 26,100+ Authentic Reviews
- 477+ 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 Data Visualization Tools
 ![G2 Grid® for Data Visualization Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/data-visualization-tools/grids.png?focus%5B%5D=4400&focus%5B%5D=10470&focus%5B%5D=604&focus%5B%5D=5048&focus%5B%5D=22648&focus%5B%5D=18493&focus%5B%5D=1251&focus%5B%5D=16446)

Highlighted products: Canva, Databricks, Domo, Looker, Data Studio, Elastic Stack, SAP HANA Cloud, and AgencyAnalytics.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-visualization-tools/grids.json?focus%5B%5D=canva&focus%5B%5D=databricks&focus%5B%5D=domo&focus%5B%5D=looker&focus%5B%5D=data-studio&focus%5B%5D=elastic-stack&focus%5B%5D=sap-hana-cloud-2025-10-01&focus%5B%5D=agencyanalytics)

**Sponsored**

### Data Studio

Data Studio offers self-service business intelligence with unmatched flexibility for smarter business decisions. Featuring connections to more than 1,000+ data sources, you can create highly visual, intuitive reports and share them with your team with consistent metrics. Data Studio helps you tell impactful stories by creating and sharing engaging reports and data visualization, showcasing your business metrics and dimensions with intuitive smart reports, with automatic sharing for informed collaboation. Create meaningful, shareable, customizable, charts and graphs with just a few clicks, and now, with Gemini in Looker, automatically generate reports, visualizations and slides and save countless hours."

[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=208&secure%5Bchosen_at%5D=2026-07-31T16%3A36%3A03Z&secure%5Bdisplayable_resource_id%5D=208&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=208&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=22648&secure%5Bresource_id%5D=208&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-visualization-tools&secure%5Btoken%5D=f384e1abb3df50c4353e6fa46b4cf2004c44ec096c0437d82b3159ce598e2c15&secure%5Burl%5D=https%3A%2F%2Fcloud.google.com%2Fdata-studio%3Futm_source%3DG2%26utm_medium%3Ddisplay%26utm_campaign%3DCloud-SS-DR-GCP-1713658-GCP-DR-NA-US-en-G2-Display-Banner-All-%2525epid%21-%2525ecid%21-datastudio%26utm_content%3D%257Bdevice%257D-%257Badgroupid%257D-%257Bnetwork%257D-%257Btargetid%257D-%257Bloc_physical_ms%257D-%257Bcampaignid%257D&secure%5Burl_type%5D=custom_url)

### [Canva](https://www.g2.com/products/canva/reviews)

Canva is a visual communication platform that gives everyone a creative voice, no matter your design experience, team size, or budget. Whether you're a student making your first presentation, a marketer producing social graphics in minutes, or a global team creating on-brand content without touching a designer's inbox, Canva is where ideas become something you can actually show. Start with one of over a million professionally designed templates, or build from scratch with an AI-powered drag-and-drop editor. A library of stock images, videos, soundtracks, and fonts means you are easily equipped to create visual content at scale. Looking to work in Canva across your team? Real-time collaboration lets multiple people design simultaneously. Brand kits keep assets, colors, and fonts consistent across a one-person business or a Fortune 500 company. Canva AI helps you generate, resize, write, and edit visuals in a fraction of the time. Canva is used by more than 265 million people across 190 countries and trusted by 95% of Fortune 500 companies. Canva is available on the web, iOS and Android.

**Average Rating:** 4.7/5.0

**Total Reviews:** 6,460

#### How Do G2 Users Rate Canva?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10)
- **Dashboards:** 9.1/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.7/10 (Category avg: 8.6/10)
- **Formats:** 9.2/10 (Category avg: 8.6/10)

#### Who Is the Company Behind Canva?

- **Seller:** [Canva](https://www.g2.com/sellers/canva)
- **Company Website:** www.canva.com
- **Year Founded:** 2012
- **HQ Location:** Sydney
- **Twitter:** @canva  
339,250 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=717f17334bc55163c79e88dd0ef2b180f801e6287efa6a915643fbaba0a2e02e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F2850862%2F&secure%5Burl_type%5D=linkedin_company_website)  
16,408 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Owner, Marketing Manager
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 66% Small, 23% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** of Canva, making design simple and quick with intuitive features and templates.
- Users love the **extensive templates** offered by Canva, making design quick, easy, and accessible for everyone.
- Users appreciate the **extensive design options** in Canva, making it easy to create polished designs quickly and intuitively.
- Users love Canva for its **easy creation** process, enabling quick and intuitive design with a wide range of templates.
- Users value the **extensive template availability** in Canva, which simplifies the design process for everyone.

##### Cons

- Users find Canva has **limited features** , especially on the free plan, making it costly for beginners to access more tools.
- Users find **limited options** in Canva frustrating, especially for vector editing and bulk creation of designs.
- Users express their frustration with **missing features** in Canva, such as vector editing and offline functionality, impacting design efficiency.
- Users feel that the **premium plan is too expensive** , particularly for beginners needing essential features.
- Users find **limited customization** options in Canva, wishing for more flexibility and manual editing tools for designs.

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

**["Fast, reliable design tool that removes the need for a dedicated designer"](https://www.g2.com/survey_responses/canva-review-13165839)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/canva-review-13165839)

**["Canva’s Magic Studio Makes Design Fast, Easy, and Collaborative"](https://www.g2.com/survey_responses/canva-review-13166595)**

**Rating:** 4.5/5.0 stars

_— Himanshu G._

[Read full review](https://www.g2.com/survey_responses/canva-review-13166595)

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

- [Is Canva Pro Worth It? A Look at G2 User Reviews](https://www.g2.com/discussions/is-canva-pro-worth-it-a-look-at-g2-user-reviews) - 9 comments, 13 upvotes
- [What is included in Canva Pro?](https://www.g2.com/discussions/what-is-included-in-canva-pro) - 23 comments, 12 upvotes
- [What are the features of Canva?](https://www.g2.com/discussions/what-are-the-features-of-canva) - 17 comments, 12 upvotes
- [How much is Canva for enterprise?](https://www.g2.com/discussions/how-much-is-canva-for-enterprise) - 10 comments, 8 upvotes
- [Can you use Canva designs for commercial purposes?](https://www.g2.com/discussions/can-you-use-canva-designs-for-commercial-purposes) - 25 comments, 8 upvotes

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

Databricks is a unified data and AI platform that helps organizations build, govern and scale data pipelines, analytics, machine learning, AI applications and agents. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on Databricks to work with enterprise data and AI at scale. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase, Genie 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:** 1,326

#### How Do G2 Users Rate Databricks?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.0/10)

#### 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:** 48% Large, 38% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users praise the **ease of use** and **comprehensive features** of Databricks for data warehousing and ML applications.
- Users praise the **ease of use** of Databricks, enhancing their experience with intuitive interfaces and reliable services.
- Users appreciate the **seamless integrations** of Databricks with AWS and other tools, enhancing daily operations and efficiency.
- Users value the **seamless collaboration** offered by Databricks, enhancing teamwork on data projects with real-time insights.
- Users praise the **integrated analytical features** of Databricks, enhancing collaborative data processing and insight visualization.

##### Cons

- Users note a **steep learning curve** initially, with confusing permissions and compute modes affecting usability.
- Users note that the **costs can be quite high** for utilizing Databricks effectively, especially for large data projects.
- Users find a **steep learning curve** with Databricks, especially challenging for newcomers to big data tools.
- Users find the **complexity** of Databricks challenging, especially for smaller teams and initial setup processes.
- Users face **complex setup** challenges initially, though support helps simplify the experience over time.

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

**["Helpful for Managing and Analyzing Operational Data"](https://www.g2.com/survey_responses/databricks-review-13090803)**

**Rating:** 4.5/5.0 stars

_— Vishaka C._

[Read full review](https://www.g2.com/survey_responses/databricks-review-13090803)

**["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, 2 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's AI and Data Products Platform empowers organizations to turn data into actionable insights and solutions. It allows users to seamlessly connect diverse data sources, prepare data for use, and generate dynamic reports and visualizations—all within a single interface. With built-in AI and automation capabilities, teams can easily build and use AI agents, streamline workflows, and create tailored solutions.

**Average Rating:** 4.3/5.0

**Total Reviews:** 1,036

#### How Do G2 Users Rate Domo?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.0/10)
- **Dashboards:** 8.4/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.6/10)
- **Formats:** 8.6/10 (Category avg: 8.6/10)

#### 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)  
1,299 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Business Analyst
- **Top Industries:** Computer Software, Marketing and Advertising
- **Company Size:** 49% Medium, 28% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users value Domo's **ease of use** , making it accessible for all, even those who aren't tech-savvy.
- Users value the **flexible dashboards** in Domo, allowing seamless data visualization from various sources.
- Users find Domo's **intuitive design** enhances data handling and decision-making, making it accessible for all skill levels.
- Users praise Domo for its **easy integrations** , enabling seamless data connections and enhancing data management efficiency.
- Users value the **seamless integration** capabilities of Domo, enhancing data management across various platforms and sources.

##### Cons

- Users find the **learning curve challenging** with Domo, often requiring dedicated resources to manage updates and functionalities.
- Users struggle with **missing features** in Domo, including outdated systems and limited capabilities in visualizations and connectors.
- Users are frustrated by **data management issues** , including upload adjustments and poor organization of datasets in Domo.
- Users find Domo to be **expensive** due to high costs associated with features and external consulting needs.
- Users find Domo's **complexity** overwhelming, requiring technical expertise and extensive setup that complicate the user experience.

#### 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)

### [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:** 1,590

#### How Do G2 Users Rate Looker?

- **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 9.0/10)
- **Dashboards:** 8.7/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.1/10 (Category avg: 8.6/10)
- **Formats:** 8.3/10 (Category avg: 8.6/10)

#### 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 value the **ease of use** in Looker, enabling anyone to create reports without technical expertise.
- Users value Looker's **dynamics of real-time reporting** and seamless integration, enhancing decision-making and data visualization.
- Users appreciate the **easy integrations** of Looker, allowing seamless connectivity with multiple data sources for insightful analytics.
- Users value the **seamless integrations** within Looker, enhancing functionality and providing quality insights across platforms.
- Users appreciate Looker's **dynamic and live reporting** , which enhances real-time analytics and decision-making across multiple platforms.

##### Cons

- Users find the **steep learning curve** of Looker challenging, particularly for those without technical expertise.
- Users find Looker's interface challenging due to its **steep learning curve** and the complexity of LookML for beginners.
- Users experience **slow loading times** with Looker, particularly when dealing with large datasets, complicating dashboard creation.
- Users often experience **slow performance** with Looker, especially when dealing with complex data transformations and dashboard loading times.
- Users find Looker’s **complexity** challenging, with a steep learning curve and integration issues hindering efficiency.

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

**["Transforms Data, But Challenging for Beginners"](https://www.g2.com/survey_responses/looker-review-12784757)**

**Rating:** 5.0/5.0 stars

_— Rahul S._

[Read full review](https://www.g2.com/survey_responses/looker-review-12784757)

**["Powerful once it's set up properly, that's once is doing a lot of work in that sentence"](https://www.g2.com/survey_responses/looker-review-12863840)**

**Rating:** 4.5/5.0 stars

_— Anurag S._

[Read full review](https://www.g2.com/survey_responses/looker-review-12863840)

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

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

### [Data Studio](https://www.g2.com/es/products/data-studio/reviews)

Data Studio ofrece inteligencia empresarial de autoservicio con una flexibilidad inigualable para decisiones empresariales más inteligentes. Con conexiones a más de 1,000 fuentes de datos, puedes crear informes altamente visuales e intuitivos y compartirlos con tu equipo con métricas consistentes. Data Studio te ayuda a contar historias impactantes creando y compartiendo informes atractivos y visualización de datos, mostrando tus métricas y dimensiones empresariales con informes inteligentes intuitivos, con compartición automática para una colaboración informada. Crea gráficos y tablas significativos, compartibles y personalizables con solo unos pocos clics, y ahora, con Gemini en Looker, genera automáticamente informes, visualizaciones y diapositivas y ahorra innumerables horas.

**Average Rating:** 4.4/5.0

**Total Reviews:** 456

#### How Do G2 Users Rate Data Studio?

- **¿Ha sido the product un buen socio para hacer negocios?:** 8.3/10 (Category avg: 9.0/10)
- **Paneles:** 9.1/10 (Category avg: 9.0/10)
- **Pasos para responder:** 8.1/10 (Category avg: 8.6/10)
- **Formatos:** 8.5/10 (Category avg: 8.6/10)

#### Who Is the Company Behind Data Studio?

- **Vendedor:** [Google](https://www.g2.com/es/sellers/google)
- **Año de fundación:** 1998
- **Ubicación de la sede:** Mountain View, CA
- **Twitter:** @google  
31,899,995 seguidores en Twitter
- **Página de LinkedIn®:** [www.linkedin.com](https://www.g2.com/es/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 empleados en LinkedIn®
- **Propiedad:** NASDAQ:GOOG

#### Who Uses This Product?

- **Who Uses This:** Especialista en Marketing Digital, Gerente de Marketing Digital
- **Top Industries:** Marketing y publicidad, Software de Computadora
- **Company Size:** 46% Small, 37% Medium

#### What Do G2 Reviewers Say About Data Studio?

_AI-generated summary from verified user reviews_

##### Pros

- Los usuarios encuentran **la facilidad de uso** de Looker Studio notable, lo que permite la creación de paneles y la visualización de datos sin esfuerzo.
- Los usuarios aprecian la **flexibilidad en la visualización de datos** con Looker Studio, lo que permite informes perspicaces e interactivos sin esfuerzo.
- Los usuarios aprecian las **fáciles integraciones** en Looker Studio, permitiendo conexiones sin problemas a varias fuentes de datos para un informe eficiente.
- A los usuarios les encantan las características de **compartición colaborativa** de Looker Studio, que permiten un trabajo en equipo sin problemas y acceso a datos en tiempo real.
- A los usuarios les encanta cómo **Data Studio simplifica la visualización de datos complejos** con paneles interactivos, personalizables e integración sin esfuerzo.

##### Cons

- Los usuarios encuentran **personalización limitada** en Looker Studio, lo que afecta la flexibilidad y efectividad de sus visualizaciones de datos.
- Los usuarios a menudo encuentran **rendimiento lento** en Looker Studio, especialmente con fuentes de datos pesadas o numerosos gráficos.
- Los usuarios encuentran **frustrantes los tiempos de carga lentos** en Looker Studio, especialmente con conjuntos de datos grandes y múltiples gráficos.
- Los usuarios experimentan frecuentes **problemas de conectividad** con Looker Studio, a menudo requiriendo múltiples intentos para establecer conexiones de datos.
- Los usuarios encuentran las **opciones de diseño limitadas** en Data Studio frustrantes, afectando la personalización y la experiencia general del usuario.

#### What Are Recent G2 Reviews of Data Studio?

**["Looker Studio hace que los paneles interactivos en tiempo real sean sencillos"](https://www.g2.com/es/survey_responses/data-studio-review-12779274)**

**Rating:** 5.0/5.0 stars

_— Gautam V._

[Read full review](https://www.g2.com/es/survey_responses/data-studio-review-12779274)

**["Informes impulsados por hojas de cálculo, con actualizaciones instantáneas y una excelente versión gratuita, diseñados para dispositivos móviles."](https://www.g2.com/es/survey_responses/data-studio-review-12807274)**

**Rating:** 5.0/5.0 stars

_— Jaime Ricardo L._

[Read full review](https://www.g2.com/es/survey_responses/data-studio-review-12807274)

#### What Are G2 Users Discussing About Data Studio?

- [¿Qué tan bueno es Google Data Studio?](https://www.g2.com/es/discussions/how-good-is-google-data-studio) - 2 comments
- [¿Es Google Data Studio gratuito?](https://www.g2.com/es/discussions/is-google-data-studio-free-to-use) - 4 comments
- [¿Cómo uso Google Data Studio?](https://www.g2.com/es/discussions/how-do-i-use-google-data-studio) - 1 comment
- [¿Para qué sirve Google Data Studio?](https://www.g2.com/es/discussions/what-is-google-data-studio-for) - 1 comment

### [Elastic Stack](https://www.g2.com/products/elastic-stack/reviews)

The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsearch, Kibana, Beats, and Logstash, enabling users to handle data from any source and in any format efficiently. Key Features and Functionality: - Elasticsearch: A distributed, JSON-based search and analytics engine that allows for rapid storage, search, and analysis of large volumes of data. - Kibana: An extensible user interface that provides powerful visualizations, dashboards, and management tools to interpret and present data effectively. - Beats and Logstash: Data ingestion tools that collect and process data from various sources, transforming and forwarding it to Elasticsearch for indexing. - Integrations: A multitude of pre-built integrations that facilitate seamless data collection and connection with the Elastic Stack, enabling quick insights. Primary Value and User Solutions: The Elastic Stack empowers organizations to harness the full potential of their data by providing a scalable and resilient platform for real-time search and analytics. It addresses challenges such as managing large datasets, ensuring high availability, and delivering relevant search results swiftly. By offering a unified solution for data ingestion, storage, analysis, and visualization, the Elastic Stack enables users to gain actionable insights, enhance operational efficiency, and make informed decisions based on their data.

**Average Rating:** 4.5/5.0

**Total Reviews:** 106

#### How Do G2 Users Rate Elastic Stack?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Dashboards:** 9.0/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.3/10 (Category avg: 8.6/10)
- **Formats:** 8.7/10 (Category avg: 8.6/10)

#### Who Is the Company Behind Elastic Stack?

- **Seller:** [Elastic](https://www.g2.com/sellers/elastic)
- **Year Founded:** 2012
- **HQ Location:** San Francisco, CA
- **Twitter:** @elastic  
65,200 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=bc8e533876f16af617380aaa3922cb6a39a1d6233f0b32a0fa987a5fdffd799e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F814025%2F&secure%5Burl_type%5D=linkedin_company_website)  
5,079 employees on LinkedIn®
- **Ownership:** NYSE: ESTC

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 47% Medium, 34% Large

#### What Do G2 Reviewers Say About Elastic Stack?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Elastic Stack, which simplifies log and metric analysis with a unified interface.
- Users value the **flexibility** of Elastic Stack, enabling seamless integration and customization for diverse analytics needs.
- Users value the **unified log management** of Elastic Stack, enhancing issue correlation and system understanding seamlessly.
- Users value the **search efficiency** of Elastic Stack, enabling rapid issue correlation and comprehensive system insights.
- Users value the **versatility** of Elastic Stack, enjoying its seamless integration and flexibility across various deployment models.

##### Cons

- Users find the **resource management challenging** in Elastic Stack due to high demands and steep learning curves.
- Users report **complexity issues** with Elastic Stack, citing challenges in management, performance tuning, and steep learning curves.
- Users find Elastic Stack to be **expensive at scale** due to high resource requirements and additional licensing costs.
- Users find that Elastic Stack's **high memory usage** can lead to increased costs and complexity at scale.
- Users find the **learning curve steep** for Elastic Stack, needing expertise for optimal cluster management and performance.

#### What Are Recent G2 Reviews of Elastic Stack?

**["Powerful Centralized Log Management with Elastic Stack"](https://www.g2.com/survey_responses/elastic-stack-review-12951407)**

**Rating:** 4.0/5.0 stars

_— Ravindra N._

[Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12951407)

**["Elastic Stack: Real-Time Scalability, Fast Search, and Powerful Kibana Visualizations"](https://www.g2.com/survey_responses/elastic-stack-review-12683691)**

**Rating:** 5.0/5.0 stars

_— Jai P._

[Read full review](https://www.g2.com/survey_responses/elastic-stack-review-12683691)

#### What Are G2 Users Discussing About Elastic Stack?

- [How has Elastic Stack impacted your data search and analytics capabilities, and what do you recommend to new users?](https://www.g2.com/discussions/how-has-elastic-stack-impacted-your-data-search-and-analytics-capabilities-and-what-do-you-recommend-to-new-users)
- [What is Kibana monitoring?](https://www.g2.com/discussions/what-is-kibana-monitoring)
- [What is Grafana and Kibana?](https://www.g2.com/discussions/what-is-grafana-and-kibana) - 1 comment
- [What is Kibana built with?](https://www.g2.com/discussions/what-is-kibana-built-with)
- [What are the features of Kibana?](https://www.g2.com/discussions/what-are-the-features-of-kibana) - 1 comment

### [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)

SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps.

**Average Rating:** 4.3/5.0

**Total Reviews:** 521

#### How Do G2 Users Rate SAP HANA Cloud?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.0/10)
- **Dashboards:** 8.9/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.6/10)
- **Formats:** 8.5/10 (Category avg: 8.6/10)

#### Who Is the Company Behind SAP HANA Cloud?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** www.sap.com
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Consultant, SAP Consultant
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 61% Large, 26% Medium

#### What Do G2 Reviewers Say About SAP HANA Cloud?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with SAP HANA Cloud, enjoying seamless integration and smooth real-time analytics.
- Users appreciate the **easy integrations** of SAP HANA Cloud, enhancing their workflow and data management seamlessly.
- Users value the **smooth integration capabilities** of SAP HANA Cloud, enhancing efficiency and simplifying data management.
- Users value the **speed and responsiveness** of SAP HANA Cloud, making data handling efficient and streamlined.
- Users value the **flexible and elastic scalability** of SAP HANA Cloud, enhancing performance for data-intensive applications.

##### Cons

- Users find the **complexity of the setup** challenging, particularly for new users and integrations with other systems.
- Users find SAP HANA Cloud to be **expensive** , particularly for large data demands and advanced configurations requiring expertise.
- Users find the **learning curve challenging** , especially for teams new to HANA's concepts and SQL extensions.
- Users find the **difficult learning curve** of SAP HANA Cloud challenging, especially for new users and feature navigation.
- Users find the **complex setup** of SAP HANA Cloud challenging, particularly for newcomers and during initial provisioning.

#### What Are Recent G2 Reviews of SAP HANA Cloud?

**["Efficient Transactions, But Time-Intensive Setup"](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)**

**Rating:** 4.0/5.0 stars

_— Sumeet R._

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)

**["Real-Time Analytics Powerhouse with Flexible, Scalable Performance."](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)**

**Rating:** 5.0/5.0 stars

_— Mahendra S._

[Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12631916)

### [AgencyAnalytics](https://www.g2.com/products/agencyanalytics/reviews)

AgencyAnalytics is the only reporting and insights platform built for marketing agencies. Prove your value to clients, win back the hours you lose to manual reporting, and keep more of the clients you've worked hard to earn. Connect every client's marketing channels into live, customizable dashboards and report on SEO, PPC, social media, email, call tracking, ecommerce, local, and more, with 85+ integrations in one place. Automate report creation and scheduling so polished, accurate updates go out on time without the manual work. Benchmark performance, spot trends early, and use AI-powered insights to walk into client calls already knowing what's working and what to fix. Everything is fully white-labeled for your agency, so clients get their own branded login to the web or mobile app. Whether you're an established agency or just getting started, AgencyAnalytics offers flexible pricing that scales as you grow. Try it risk-free for 14 days, no credit card required.

**Average Rating:** 4.7/5.0

**Total Reviews:** 449

#### How Do G2 Users Rate AgencyAnalytics?

- **Has the product been a good partner in doing business?:** 9.5/10 (Category avg: 9.0/10)
- **Dashboards:** 9.3/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.8/10 (Category avg: 8.6/10)
- **Formats:** 8.9/10 (Category avg: 8.6/10)

#### Who Is the Company Behind AgencyAnalytics?

- **Seller:** [AgencyAnalytics](https://www.g2.com/sellers/agencyanalytics)
- **Company Website:** agencyanalytics.com
- **Year Founded:** 2010
- **HQ Location:** Toronto
- **Twitter:** @agencyanalytics  
4,047 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=36de4478818727ce704b1acc8f3ab3790bfc0a09a0832fcd9cccb110892640a5&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3309361%2F&secure%5Burl_type%5D=linkedin_company_website)  
128 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO, Founder
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 88% Small, 8% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find **AgencyAnalytics easy to use** , with intuitive features that simplify managing SEO projects and generating reports.
- Users love how AgencyAnalytics provides a **time-saving solution** by streamlining data organization and reporting processes.
- Users praise the **responsive customer support** of AgencyAnalytics, enhancing their experience with timely assistance and guidance.
- Users appreciate the **user-friendly setup** of AgencyAnalytics, simplifying reporting and enhancing client communication with ease.
- Users value the **robust integration capabilities** of AgencyAnalytics, enhancing report generation and performance monitoring effortlessly.

##### Cons

- Users face significant **integration issues** with AgencyAnalytics, leading to delays and frustrating experiences during client meetings.
- Users find the platform **limited in customization and features** , affecting their ability to tailor reports and dashboards.
- Users find the **learning curve challenging** due to customization and dashboard structure complexity in AgencyAnalytics.
- Users experience **reporting issues** as dashboard changes complicate report building and integrations occasionally fail, impacting data accuracy.
- Users often face **connection issues** with AgencyAnalytics, causing delays and frustration during client meetings.

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

**["Centralized Analytics and Stunning Branded Reports That Save Time"](https://www.g2.com/survey_responses/agencyanalytics-review-13061053)**

**Rating:** 5.0/5.0 stars

_— Mike D._

[Read full review](https://www.g2.com/survey_responses/agencyanalytics-review-13061053)

**["AgencyAnalytics Makes Trend Reporting and SEO Insights Fast and Client-Friendly"](https://www.g2.com/survey_responses/agencyanalytics-review-13032470)**

**Rating:** 4.5/5.0 stars

_— Shannon M._

[Read full review](https://www.g2.com/survey_responses/agencyanalytics-review-13032470)

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

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

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

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:** 750

#### How Do G2 Users Rate SAP Analytics Cloud?

- **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10)
- **Dashboards:** 8.8/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.0/10 (Category avg: 8.6/10)
- **Formats:** 8.7/10 (Category avg: 8.6/10)

#### Who Is the Company Behind SAP Analytics Cloud?

- **Seller:** [SAP](https://www.g2.com/sellers/sap)
- **Company Website:** www.sap.com
- **Year Founded:** 1972
- **HQ Location:** Walldorf
- **Twitter:** @SAP  
297,052 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8fd712dbd816fadfc039a60dcf8c1a3d6a48469756075586fa0be3da7e4b74d7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsap%2F&secure%5Burl_type%5D=linkedin_company_website)  
141,955 employees on LinkedIn®

#### 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, facilitating effortless data understanding and streamlined reporting.
- Users appreciate the **wide range of data connectivity options** in SAP Analytics Cloud, enhancing integration and analytics capabilities.
- Users value the **interactive dashboards** of SAP Analytics Cloud, which enhance data clarity and user customization.
- Users value the **easy integrations** of SAP Analytics Cloud, enjoying seamless connectivity and efficient data analysis across projects.
- Users appreciate the **wide range of data connectivity and predictive analytics** in SAP Analytics Cloud for effective decision-making.

##### Cons

- Users experience **slow performance** with SAP Analytics Cloud, particularly when working with complex datasets and large models.
- Users face a **steep learning curve** with SAP Analytics Cloud, requiring training to navigate its complex features effectively.
- Users find the **steep learning curve** challenging, especially without guidance for navigating SAP Analytics Cloud's features.
- Users experience significant **performance issues** with SAP Analytics Cloud, particularly with large datasets and complex calculations.
- Users experience **slow performance with large datasets** , making complex analyses cumbersome and time-consuming.

#### What Are Recent G2 Reviews of SAP Analytics Cloud?

**["SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place"](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)**

**Rating:** 5.0/5.0 stars

_— Muzammil M._

[Read full review](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)

**["Reliable & User-Friendly Analytics Tool"](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12885706)**

**Rating:** 4.0/5.0 stars

_— sagar i._

[Read full review](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12885706)

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

- [What is SAP Analytics Cloud used for?](https://www.g2.com/discussions/what-is-sap-analytics-cloud-used-for) - 2 comments
- [What is SAP Lumira used for?](https://www.g2.com/discussions/sap-lumira-what-is-sap-lumira-used-for) - 1 comment, 1 upvote
- [What is SAP Analytics Hub used for?](https://www.g2.com/discussions/what-is-sap-analytics-hub-used-for) - 1 comment
- [How does SAP Analytics calculate average cloud?](https://www.g2.com/discussions/how-does-sap-analytics-calculate-average-cloud)
- [What is predictive analytics software?](https://www.g2.com/discussions/sap-predictive-analytics-what-is-predictive-analytics-software) - 1 comment

### [Hurree](https://www.g2.com/products/hurree/reviews)

Hurree is an AI-powered platform that consolidates all your reporting data into a single, easy-to-use command centre. It connects with over 70 popular tools, giving you a single, reliable view of performance across your business. With fully customizable dashboards, Hurree makes it simple for any team to track KPIs, monitor trends, and measure success with no technical skills required. At the heart of the platform is Riva, Hurree's built-in AI assistant. Riva doesn't just show you the numbers; it explains them. From instant summaries to predictive insights and actionable recommendations, Riva helps you understand what’s happening and what to do next. Hurree is built for teams who want better visibility, clearer reporting, and data they can actually use, without the complexity.

**Average Rating:** 4.8/5.0

**Total Reviews:** 74

#### How Do G2 Users Rate Hurree?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.0/10)
- **Dashboards:** 9.7/10 (Category avg: 9.0/10)
- **Steps to Answer:** 9.1/10 (Category avg: 8.6/10)
- **Formats:** 8.5/10 (Category avg: 8.6/10)

#### Who Is the Company Behind Hurree?

- **Seller:** [Hurree](https://www.g2.com/sellers/hurree)
- **Company Website:** www.hurree.co
- **Year Founded:** 2018
- **HQ Location:** Belfast, Antrim
- **Twitter:** @Hurree\_me  
896 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e490398e57b457718f0addb03220e1ee2f77253c11ee80402709164d6af8624a&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fhurree%2F&secure%5Burl_type%5D=linkedin_company_website)  
48 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Marketing and Advertising
- **Company Size:** 58% Small, 42% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of Hurree, facilitating effective setup and clear data presentation for clients.
- Users value the **intuitive interface and customizable dashboards** of Hurree for effective data visualization and tracking.
- Users praise Hurree for its **intuitive data visualization** that simplifies understanding and enhances team productivity.
- Users appreciate Hurree's **efficiency** in showcasing lead sources and competition, enhancing client interactions and trust-building.
- Users value Hurree for its **ability to transform raw data into meaningful insights** , enhancing decision-making with reliable information.

##### Cons

- The **initial learning curve** can be overwhelming, but support helps users adapt to Hurree's features over time.
- Some users note the **limited customization options** in Hurree, wishing for more flexibility in tailoring features.
- Users find the **reporting features limited** , hindering deeper analysis and flexibility in integrations.
- Users are disappointed by the **lack of AI integration** in Hurree, despite ongoing development efforts for future features.
- Users find **learning difficulties** with data ranges and integration, impacting their overall experience with Hurree.

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

**["Hurree brought structure and focus to our performance monitoring"](https://www.g2.com/survey_responses/hurree-review-12358678)**

**Rating:** 5.0/5.0 stars

_— Hayley C._

[Read full review](https://www.g2.com/survey_responses/hurree-review-12358678)

**["Game-Changer for Data-Driven Marketing Teams"](https://www.g2.com/survey_responses/hurree-review-12533440)**

**Rating:** 5.0/5.0 stars

_— Gavin M._

[Read full review](https://www.g2.com/survey_responses/hurree-review-12533440)

### [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews)

MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.

**Average Rating:** 4.5/5.0

**Total Reviews:** 849

#### How Do G2 Users Rate MongoDB Atlas?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.0/10)
- **Dashboards:** 9.2/10 (Category avg: 9.0/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.6/10)
- **Formats:** 8.5/10 (Category avg: 8.6/10)

#### Who Is the Company Behind MongoDB Atlas?

- **Seller:** [MongoDB](https://www.g2.com/sellers/mongodb)
- **Year Founded:** 2007
- **HQ Location:** New York
- **Twitter:** @MongoDB  
503,172 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=9e2adda5aefb96b900de1b30cd580b936f8a6692f341d7d367f1e1a3c95078d9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F783611%2F&secure%5Burl_type%5D=linkedin_company_website)  
7,887 employees on LinkedIn®
- **Ownership:** NASDAQ: MDB

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, Senior Software Engineer
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 45% Small, 29% Large

#### What Do G2 Reviewers Say About MongoDB Atlas?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **intuitive UI** of MongoDB Atlas, making database management user-friendly and efficient.
- Users appreciate the **intuitive user interface** of MongoDB Atlas, simplifying database management and enhancing productivity.
- Users appreciate the **intuitive UI and ease of use** in MongoDB Atlas, enhancing their database management experience.
- Users appreciate the **scalability** of MongoDB Atlas, enabling efficient data management and rapid performance without extra infrastructure effort.
- Users appreciate the **reliability** of MongoDB Atlas, noting its consistent uptime and seamless database management experience.

##### Cons

- Users criticize the **expensive pricing** of MongoDB Atlas, feeling forced to pay for unnecessary resources and inadequate support.
- Users express frustration with MongoDB Atlas's **unclear pricing** , leading to unexpected costs and complicated billing structures.
- Users find MongoDB Atlas **expensive** , facing high costs for subpar performance and frustrating support challenges.
- Users express frustration over **high memory usage** , leading to performance issues and costly unexpected charges.
- Users experience significant **latency issues** when deleting data, negatively impacting performance and overall satisfaction with MongoDB Atlas.

#### What Are Recent G2 Reviews of MongoDB Atlas?

**["Flexible, High-Performance Database with Easy Scaling"](https://www.g2.com/survey_responses/mongodb-atlas-review-12533016)**

**Rating:** 4.5/5.0 stars

_— Sai shivan J._

[Read full review](https://www.g2.com/survey_responses/mongodb-atlas-review-12533016)

**["MongoDB Atlas: Fast Setup, Flexible Docs, and Great Value on the Free Tier"](https://www.g2.com/survey_responses/mongodb-atlas-review-13174617)**

**Rating:** 4.5/5.0 stars

_— Muhammed A._

[Read full review](https://www.g2.com/survey_responses/mongodb-atlas-review-13174617)

#### What Are G2 Users Discussing About MongoDB Atlas?

- [What is MongoDB used for?](https://www.g2.com/discussions/what-is-mongodb-used-for) - 3 comments, 1 upvote
- [What is MongoDB Charts used for?](https://www.g2.com/discussions/what-is-mongodb-charts-used-for)
- [What is MongoDB and its advantages?](https://www.g2.com/discussions/what-is-mongodb-and-its-advantages) - 1 comment
- [What are the features of MongoDB?](https://www.g2.com/discussions/what-are-the-features-of-mongodb) - 1 comment
- [Is MongoDB a software?](https://www.g2.com/discussions/is-mongodb-a-software) - 2 comments

### [Visme](https://www.g2.com/products/visme/reviews)

Visme is the operating system for business content, the platform teams use to create, manage, and scale everything their business communicates with, from presentations and reports to infographics, documents, and social graphics. Where most AI creates from a blank prompt, Visme works from what your business already knows. Connect your Drive, OneDrive, SharePoint, and existing decks, and Visme reads them, structures them, and learns your brand, voice, and key facts. Every new piece is held to that brand standard automatically, with the right fonts, colors, logos, and tone applied without anyone enforcing them manually. Visme's AI is grounded in your brand, your content, and your data rather than a generic prompt, so what it produces reads like your company instead of off-the-shelf output. From that foundation, Visme can build on-brand Sales Decks, QBRs, and Proposals from your own content, pull live data from Salesforce, Google Sheets, and Excel, and update a fact once so it carries across every piece built from it. Visme is built for the teams that produce recurring customer-facing content: sales, customer success, marketing, and revenue operations. Real-time collaboration keeps distributed teams working in one place, and Smart Link sharing shows how content performs after it is sent. The outcome is one system the whole company creates from, consistent, current, and built on what your team already has, so the people accountable for the brand can hold the standard without reviewing every piece.

**Average Rating:** 4.5/5.0

**Total Reviews:** 500

#### How Do G2 Users Rate Visme?

- **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 9.0/10)
- **Dashboards:** 8.6/10 (Category avg: 9.0/10)
- **Steps to Answer:** 7.9/10 (Category avg: 8.6/10)
- **Formats:** 8.8/10 (Category avg: 8.6/10)

#### Who Is the Company Behind Visme?

- **Seller:** [Visme](https://www.g2.com/sellers/visme)
- **Company Website:** www.visme.co
- **Year Founded:** 2014
- **HQ Location:** Rockville, Maryland
- **Twitter:** @VismeApp  
63,790 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e17692537779b574ed841e4a79b2085110cbf829f4c8a76b49e05066b3c0e459&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F9176693%2F&secure%5Burl_type%5D=linkedin_company_website)  
86 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO, Founder
- **Top Industries:** Marketing and Advertising, Education Management
- **Company Size:** 69% Small, 24% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Visme to be **intuitive and easy to use** , enabling effortless creation of professional visual content.
- Users love the **intuitive design and robust features** of Visme, making professional content creation effortless and effective.
- Users love the **beautiful and user-friendly templates** in Visme, enhancing the polish and interactivity of their work.
- Users praise the **intuitive design** of Visme, making it easy for anyone to create professional-quality visual content.
- Users appreciate the **intuitive and easy-to-use interface** of Visme, enhancing their creative workflow effectively.

##### Cons

- Users note **limited features** in Visme, such as insufficient graph options and formatting capabilities for data entry.
- Users note several **missing features** , including limited PowerPoint uploads and animation controls, impacting usability.
- Users face **limited editing capabilities** , making it challenging to manipulate text and utilize large PowerPoint presentations.
- Users find the **limited options** in Visme restrict their ability to fully utilize the tool's potential.
- Users find Visme **too expensive** compared to alternatives like Canva, leading to dissatisfaction over value for money.

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

**["Visme Makes Professional, Data-Rich Client Reports Affordable and Distinctive"](https://www.g2.com/survey_responses/visme-review-13132041)**

**Rating:** 5.0/5.0 stars

_— Brian B._

[Read full review](https://www.g2.com/survey_responses/visme-review-13132041)

**["My Go-To Platform for Professional Marketing Materials"](https://www.g2.com/survey_responses/visme-review-13117378)**

**Rating:** 4.0/5.0 stars

_— Kathryn S._

[Read full review](https://www.g2.com/survey_responses/visme-review-13117378)

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

- [What is Visme used for?](https://www.g2.com/discussions/visme-what-is-visme-used-for) - 2 comments
- [How much does Visme cost?](https://www.g2.com/discussions/how-much-does-visme-cost)
- [What are the main features of presentation software?](https://www.g2.com/discussions/what-are-the-main-features-of-presentation-software)
- [Is Visme really free?](https://www.g2.com/discussions/is-visme-really-free) - 2 comments
- [What is Visme used for?](https://www.g2.com/discussions/what-is-visme-used-for) - 1 comment

### [Coefficient](https://www.g2.com/products/coefficient/reviews)

Coefficient is a new way to work with your company data better, faster, and more accurately without ever leaving your spreadsheet, integrating with the tools you already use. Install the Coefficient Excel or Google Sheets extension and use it in a new or existing sheet in seconds. Once installed, Coefficient lives as a sidebar companion so your company data is only a couple of clicks away at any time. Any data source that you work with is available directly in your Coefficient sidebar – such as Salesforce, HubSpot, Snowflake, NetSuite, QuickBooks, MySQL, and Looker – with the ability to consolidate your data from multiple systems into one spreadsheet. Use Coefficient filters to easily customize your imports to only work with the data you need, keeping your spreadsheets performant. Quickly go back anytime to add more data in the same report. Never rebuild the same analysis twice by keeping your data up to date with scheduled updates. And, use Coefficient alerts to trigger Slack or email messages anytime your spreadsheet updates. Now, you can turn your spreadsheet into the most flexible, powerful monitoring system across all of your company data. Say “goodbye” to manual data workflows and “hello” to connected spreadsheets.

**Average Rating:** 4.7/5.0

**Total Reviews:** 195

#### How Do G2 Users Rate Coefficient?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.0/10)

#### Who Is the Company Behind Coefficient?

- **Seller:** [Coefficient](https://www.g2.com/sellers/coefficient)
- **Company Website:** coefficient.io
- **Year Founded:** 2020
- **HQ Location:** Palo Alto, CA
- **Twitter:** @coefficient\_io  
346 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=1a36ef868415520ac840f5699de01e684ba3b9e328d0a3215043fadd7d1bd7ad&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fcoefficientworks%2F&secure%5Burl_type%5D=linkedin_company_website)  
71 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 46% Medium, 34% Small

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** with Coefficient, enjoying seamless data extraction and hassle-free connectivity.
- Users love the **automation capabilities** of Coefficient, which simplify data integration and save significant time.
- Users appreciate the **seamless integrations** of Coefficient, effortlessly syncing data between Salesforce, QuickBooks, and Google Sheets.
- Users love the **easy integrations** of Coefficient, drastically improving workflow and enabling hassle-free data syncing.
- Users enjoy the **time-saving automation** of Coefficient, regaining hours each week with effortless data management.

##### Cons

- Users find the **feature limitations** of Coefficient frustrating, especially with filtering and data formatting issues.
- Users face **limited features** with Coefficient, particularly regarding filter and import restrictions compared to Google Sheets.
- Users are dissatisfied with the **missing features** in Coefficient, such as limited filter options and inadequate chart integration.
- Users face **filter limitations** in Coefficient, impacting their ability to manage data efficiently across imports.
- Users face **integration issues** with Coefficient, particularly lacking essential features and facing frustrating import formats.

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

**["Seamless Database Queries in Google Sheets with Responsive Support"](https://www.g2.com/survey_responses/coefficient-review-13098229)**

**Rating:** 4.5/5.0 stars

_— Verified User in Marketing and Advertising_

[Read full review](https://www.g2.com/survey_responses/coefficient-review-13098229)

**["Efficient, User-Friendly Tool for Integrating Salesforce with Google Sheets"](https://www.g2.com/survey_responses/coefficient-review-12701723)**

**Rating:** 5.0/5.0 stars

_— Ellen Dericks C._

[Read full review](https://www.g2.com/survey_responses/coefficient-review-12701723)

### [Pigment](https://www.g2.com/products/pigment-2024-01-19/reviews)

Pigment is an AI business planning and performance management platform. Built for the complexity of modern enterprises, Pigment combines dynamic modeling with autonomous AI agents and an intuitive UX, to help teams make intelligent decisions with speed and clarity. Across finance, sales, supply chain, and other business functions, teams at companies like Unilever, Snowflake, Siemens, and Anthropic use Pigment every day to anticipate change, plan ahead, and act with confidence.

**Average Rating:** 4.6/5.0

**Total Reviews:** 110

#### How Do G2 Users Rate Pigment?

- **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 9.0/10)
- **Dashboards:** 8.8/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.6/10 (Category avg: 8.6/10)
- **Formats:** 7.5/10 (Category avg: 8.6/10)

#### Who Is the Company Behind Pigment?

- **Seller:** [Pigment](https://www.g2.com/sellers/pigment)
- **Company Website:** www.pigment.com
- **Year Founded:** 2019
- **HQ Location:** Paris, FR
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=d770bdb2e5f182826ec4fcb9c9d65babf288c41472a69e576cc19f3345e728d0&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fpigment%2F&secure%5Burl_type%5D=linkedin_company_website)  
711 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** FP&A Manager
- **Top Industries:** Computer Software, Financial Services
- **Company Size:** 73% Medium, 20% Large

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

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **flexibility** of Pigment, enabling tailored models that adapt as business needs evolve.
- Users appreciate the **flexibility and multidimensionality** of Pigment, enabling effective modeling and real-time reporting.
- Users value the **quick and efficient customer support** of Pigment, which aids in resolving issues swiftly.
- Users appreciate the **ease of use** of Pigment, finding its interface intuitive and support readily available.
- Users value the **seamless automation** of Pigment, enabling efficient data handling and swift integration across various entities.

##### Cons

- Users face challenges with **data inaccuracy** due to incomplete datasets and manual availability hindering reporting efficiency.
- Users find the **formulas complex** , leading to challenges with calculations and API management in Pigment.
- Users find the **complex setup** of Pigment to be rigid and wish for simpler API management options.
- Users often face **connectivity issues** with Pigment, especially when working with large volumes of data.
- Users find the **formula limitations** challenging, leading to complexity in calculations and slower forecasts.

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

**["Power Pivot on Steroids—Intuitive, Modern Planning with Real-Time Collaboration"](https://www.g2.com/survey_responses/pigment-review-12511185)**

**Rating:** 5.0/5.0 stars

_— Maria M._

[Read full review](https://www.g2.com/survey_responses/pigment-review-12511185)

**["Easy-to-Use, Visually Clear Dashboards with Powerful Filtering"](https://www.g2.com/survey_responses/pigment-review-12723711)**

**Rating:** 4.5/5.0 stars

_— Gowtham R._

[Read full review](https://www.g2.com/survey_responses/pigment-review-12723711)

### [Infogram](https://www.g2.com/products/infogram/reviews)

Infogram is a data visualization company that helps people create infographics, reports, dashboards, maps, charts and social media assets. We show people how to communicate with data in a clear and engaging way. Launched in 2012, Infogram rapidly became the web’s favorite data visualization tool thanks to its simplicity, functionality and strong design aesthetic. We serve a wide range of customers including marketers, educators, journalists, consultants, and business professionals. We support people who see data as a powerful communication tool when visualized effectively. Infogram is used and loved by millions of people around the globe

**Average Rating:** 4.7/5.0

**Total Reviews:** 178

#### How Do G2 Users Rate Infogram?

- **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 9.0/10)
- **Dashboards:** 9.2/10 (Category avg: 9.0/10)
- **Steps to Answer:** 8.4/10 (Category avg: 8.6/10)
- **Formats:** 9.3/10 (Category avg: 8.6/10)

#### Who Is the Company Behind Infogram?

- **Seller:** [Prezi](https://www.g2.com/sellers/prezi)
- **Year Founded:** 2009
- **HQ Location:** Oakland, California
- **Twitter:** @prezi  
173,976 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=a9e842b78faa60cddfc26fc410c233f914454991cda010a15b60aff5ab239828&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F216295%2F&secure%5Burl_type%5D=linkedin_company_website)  
235 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Education Management, Marketing and Advertising
- **Company Size:** 51% Small, 31% Medium

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

_AI-generated summary from verified user reviews_

##### Pros

- Users find Infogram to be **extremely user-friendly** , allowing for quick and easy data visualization tasks.
- Users find the **AI tool** in Infogram incredibly useful for generating suggested charts, enhancing data management efficiency.
- Users commend the **automation features** of Infogram, significantly enhancing efficiency and simplifying data visualization tasks.
- Users value the **easy visualization** features of Infogram, benefiting from its diverse and user-friendly graph options.
- Users praise the **customer satisfaction** with Infogram, highlighting efficient support and smooth subscription processes.

##### Cons

- Users experience **occasional visualization glitches** with Infogram, impacting the reliability of its graph features.
- Users wish for more **free templates** in Infogram, as current options may feel limited for their needs.

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

**["Infogram is my most used tool in my Data Manager position."](https://www.g2.com/survey_responses/infogram-review-11760517)**

**Rating:** 5.0/5.0 stars

_— Becky G._

[Read full review](https://www.g2.com/survey_responses/infogram-review-11760517)

**["Easy and Versatile Data Visualization Tool"](https://www.g2.com/survey_responses/infogram-review-11925783)**

**Rating:** 5.0/5.0 stars

_— 홍주현(교원-미디어전공) ._

[Read full review](https://www.g2.com/survey_responses/infogram-review-11925783)

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

- [What is Infogram used for?](https://www.g2.com/discussions/what-is-infogram-used-for)

- &lsaquo; Prev‹ Prev
- 1
- [2](/categories/data-visualization-tools?order=g2_score&page=2#product-list)
- [3](/categories/data-visualization-tools?order=g2_score&page=3#product-list)
- [4](/categories/data-visualization-tools?order=g2_score&page=4#product-list)
- [5](/categories/data-visualization-tools?order=g2_score&page=5#product-list)
- …
- [31](/categories/data-visualization-tools?order=g2_score&page=31#product-list)
- [32](/categories/data-visualization-tools?order=g2_score&page=32#product-list)
- [Next &rsaquo;Next ›](/categories/data-visualization-tools?order=g2_score&page=2#product-list)

Spotlight Categories

[Product Lifecycle Management (PLM) Software](https://www.g2.com/categories/product-lifecycle-management-plm)

[Virtual Data Room Software](https://www.g2.com/categories/virtual-data-room-vdr)

[Customer Service Automation Software](https://www.g2.com/categories/customer-service-automation)

[CMMS Software](https://www.g2.com/categories/cmms)

[Identity and Access Management (IAM) Software](https://www.g2.com/categories/identity-and-access-management-iam)

Similar Categories

- [Embedded Business Intelligence](/categories/embedded-business-intelligence)

- [Location Intelligence](/categories/location-intelligence)

- [Semantic Layer Tools](/categories/semantic-layer-tools)

[Browse Data Visualization Themes](/categories/data-visualization-tools/themes)

 ![Bijou Barry](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Bijou Barry")
BB

Researched and written by [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)

Updated June 24, 2026

Data visualization tools and software translate data and metrics into charts and graphs to help companies track business metrics and key performance indicators (KPIs) in real time so they can better understand performance and goals. These can be delivered and displayed in various formats, including charts, graphs, reports, and dashboards. These tools help translate quantitative data and metrics into easy-to-understand visualizations. In regards to dashboards, there are various forms of visuals that one can create and view, such as scorecards and easy-to-interpret visualizations of company data to follow the trends and KPIs. Many data visualization software provides drag-and-drop functionality and other non-technical capabilities, so the average business user can build necessary dashboards. However, some do offer the ability to create dashboards using code. [Data visualization](https://www.g2.com/glossary/data-visualization-definition) software can consume data from many sources, including file uploads, databases, and business applications. Connecting certain applications or databases may require some IT involvement or coding knowledge.

Dashboards with real-time data are particularly helpful to allow business users to understand business applications and systems, such as [ERP systems](https://www.g2.com/categories/erp-systems) and [CRM software](https://www.g2.com/categories/crm). However, in some cases, one might want to export these visualizations to share them as reports via email or other communication channels. This can be helpful if one is looking to send a targeted overview of data to busy executives or clients. In addition, these tools can be used to craft visualizations, such as charts and graphs, that can be exported in various formats, such as PNG and JPEG, to create content with visualizations of data. This content creation can often be accomplished collaboratively, allowing users to collaborate across devices and device types. Users looking for tools solely focused on diagramming can look to [diagramming software](https://www.g2.com/categories/diagramming) to build flow charts, floor plans, and more.

The [best data visualization tools](https://learn.g2.com/best-data-visualization-software) are specifically designed to benchmark and visualize important metrics and are not intended to be used for robust, complicated data analysis. While some data visualization products may offer drill-down or data-joining functionality, their primary purpose is to provide dashboards and visualizations to monitor business-critical data. Users looking for analysis-specific tools should look to [analytics platforms](https://www.g2.com/categories/analytics-platforms). Analytics platforms, specifically of the self-service variety, can help businesses query and visualize their data without the need for IT support. Finally, business users and developers who are interested in embedding their visualizations in applications can use [embedded business intelligence software](https://www.g2.com/categories/embedded-business-intelligence) to accomplish this goal.

To qualify for inclusion in the Data Visualization Tools category, a product must:

- Consume data from a variety of sources through file uploads, database querying, and application connectors
- Provide visual representation of key performance indicators

Top Tools at a Glance

| 

 | 

No-code visual storytelling with brand-consistent templates

 | 

User Review

"Fast, reliable design tool that removes the need for a dedicated designer"

 |
| 

 | 

Multi-source data unification with no-code ETL visualization

 | 

User Review

"Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"

 |
| 

 | 

Governed self-service dashboards with LookML modeling

 | 

User Review

"Transforms Data, But Challenging for Beginners"

 |
| 

 | 

Google-native multi-source dashboard reporting

 | 

User Review

"Looker Studio Makes Real-Time, Interactive Dashboards Effortless"

 |
| 

 | 

Centralized log visualization with real-time search

 | 

User Review

"Powerful Centralized Log Management with Elastic Stack"

 |
| 

 | 

Real-time analytics on SAP-native in-memory data

 | 

User Review

"Efficient Transactions, But Time-Intensive Setup"

 |
| 

 | 

Multi-client dashboard reporting with cross-platform consolidation

 | 

User Review

"Centralized Analytics and Stunning Branded Reports That Save Time"

 |
| 

 | 

SAP-native BI, planning, and predictive dashboards

 | 

User Review

"SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place"

 |
| 

 | 

Multi-source KPI dashboards with AI-driven insights

 | 

User Review

"Hurree brought structure and focus to our performance monitoring"

 |

* * *

Show More

* * *

## How Do You Choose the Right Data Visualization Tools?

### What You Should Know About Data Visualization Tools

### What are Data Visualization Tools?

Data visualization tools are basic analytics platforms for business users to easily consume and interpret data, KPIs, and other critical metrics using dashboards. These dashboards can pull data from a number of sources, including databases and spreadsheets and other applications, such as [CRM](https://www.g2.com/categories/crm) systems and [digital analytics](https://www.g2.com/categories/digital-analytics) tools. Users can build a variety of visuals based on the data sets to easily track and measure important metrics. Such chart types include column charts, bar charts, pie charts, line graphs, tables, general tracking meters, maps for geographical data, and even just raw numbers.

Data visualization software is the most simplistic in the business intelligence category of software. They are built to display data in one central location instead of forcing employees to dig through different solutions to find important metrics. Business intelligence platforms, self-service business intelligence software, and embedded business intelligence software all contain more in-depth analytics features, such as drill-downs, and are most often used by analysts or data scientists. But for companies interested in displaying visual analytics dashboards, data visualization tools are the proper applications.

Setting up and implementing data visualization tools are relatively straightforward compared to implementing other business intelligence tools. It may require a bit of development knowledge to connect the product to a database or third-party application. However, if a non-developer is interested in building a visualization using a spreadsheet, implementation is basic.

Key Benefits of Data Visualization Tools

- Turn complex data into easily understandable graphics
- Track and visualize live and static metrics
- Monitor Key Performance Indicators (KPIs)
- Visualize and compare related metrics
- Provide various options to communicate complex information

### Why Use Data Visualization Tools?

The main reason for using data visualization is to track real-time data, metrics, goals, and KPIs. Businesses frequently set high goals, so tracking each metric as teams and companies progress is essential. By displaying data visualizations of each KPI, businesses can reinforce the importance of these goals and even help prioritize work based on which metrics need the most attention. General business metrics may include web traffic, revenue, and customer acquisition, among others. With data visualization products, it is easy to pull those business metrics from data sources such as digital analytics and CRMs, so that employees do not need to find them on their own.

Outside of this initial benefit of using data visualization software, another advantage is that data visualization tools help users easily understand critical business data. By using data visualization solutions, employees and businesses can easily interpret data. It makes the purpose of the information very evident to all users. If employees understand the business data, they can align around long-term goals and improve overall company growth.

Critical business data differs among every company and industry, so allowing for extensive customization is beneficial. There is no one-size-fits-all business dashboard; therefore, pulling data from a variety of sources is useful and necessary. When new employees start, it is helpful to understand said critical business data, and with the help of data visualization tools, that understanding is simplified.

Data visualization software also allows users to quickly and easily identify trends in business metrics. If certain metrics are not on pace to hit month-end, quarter-end, or year-end goals, companies can see that up front with data visualization tools. Businesses can adjust their strategies and methods for attaining goals based on how KPIs are tracked. Being able to react to data is an important overall strategy for greater business modernization and digital transformation.

### Who Uses Data Visualization Tools?

All employees have an opportunity to utilize data visualization tools; however, there are a number of roles that can use the solutions in different ways. For example:

**C-level executives –** C-suite employees utilize data visualization software such as KPI dashboards to keep a holistic view of all company goals and how they are progressing. Instead of checking in with every team or digging into disparate software for each KPI, a CEO can track all company metrics in one location. If a CFO wants to observe all financial metrics, data visualization is an option instead of going through accounting and CRM products to find necessary information. Additionally, C-level executives may take dashboards into board meetings to help illustrate how the company is performing as a whole.

[**Sales teams**](https://www.g2.com/categories/data-visualization/f/sales) **–** There are many use cases for sales teams when it comes to data visualization solutions, and not just to track revenue numbers or how many deals they have closed. Business development teams often connect [sales acceleration](https://www.g2.com/categories/sales-acceleration) tools as a data source to track how many calls each rep is making or how many meetings they are setting up. Sales managers can track individual account representatives’ performances to see how much revenue and deals each of their employees are closing, and how much they have in the pipeline. They may also set goals and determine how they are tracking on a quarterly or yearly progression. Displaying personal metrics with data visualization tools is one method to help motivate sales employees to hit their quotas.

[**Marketing teams**](https://www.g2.com/categories/data-visualization/f/marketing) **–** For marketers, data visualization solutions are ideal for recording real-time data regarding customer and prospect interactions. Users can pull specific digital analytics metrics, such as web traffic, and easily visualize progress. Additionally, marketers can see how email campaigns or advertising campaigns are progressing, whether that be open rates or how many impressions Facebook, Twitter, and other social advertisement campaigns are receiving. Businesses benefit by quickly visualizing conversion rates and cost-per-customer acquisition, among many other key marketing metrics.

**Customer service teams –** There are a variety of different instances where data visualization software is helpful for customer support teams, whether they be in a [contact center](https://www.g2.com/categories/contact-center) or receiving customer inquiries via a [help desk](https://www.g2.com/categories/help-desk), among other scenarios. Representatives at call centers can visualize the number of calls they have taken that day, how many calls are waiting to be answered, and how long the average call has been, among many other business-critical data points. For support teams that use a help desk, users benefit from data visualization by tracking how many tickets they have resolved and how many are still in their queues. [Customer success](https://www.g2.com/categories/customer-success) teams may choose to measure KPIs such as customer retention or churn rates to ensure they are maintaining the appropriate number of customers.

**Human resources teams –** Data is aplenty for recruiters and human resources professionals, so having a single dashboard to display the information is advantageous. [Recruiting](https://www.g2.com/categories/recruiting) coordinators can track how many applications have been submitted for specific roles or monitor how often the career page has been viewed. Other general human resources professionals use it to display [employee engagement](https://www.g2.com/categories/employee-engagement), whether that is an overall satisfaction of work life within a company or a gamification of certain tasks. Even third-party services such as Glassdoor may be a data source for businesses interested in tracking their rating at all times.

**Development teams –** If a business is responsible for running multiple applications and needs to track performance in real time, data visualization tools are an excellent way to keep tabs on all of them simultaneously. This allows development teams to react quickly to potential bugs or issues and ensure that performance is trending in the correct direction. Some data sources valuable to development teams include databases, public cloud [infrastructure as a service](https://www.g2.com/categories/infrastructure-as-a-service-iaas) offering, and [application performance monitoring](https://www.g2.com/categories/application-performance-monitoring-apm) software.

### Data Visualization Tools Features

While data visualization software might seem fairly straightforward, there are some features that impact the user experience with these tools. The main feature, and often most critical component buyers should look for when purchasing data visualization software, is which data sources the tool can integrate with and pull from. Most solutions can pull from SaaS applications, cloud and on-premise databases, and even solutions built in-house. But, if one of the main reasons for a company purchasing a data visualization software is to track marketing campaigns, but the tool cannot integrate with the marketing automation tool the business is already using, then it defeats the purpose.

Tracking real-time data is another important feature of data visualization software. Observing progress and trends in a business’ KPIs in real time ensures that employees can react and improve on strategies and methods.

Data visualization vendors often offer mobile functionality, so users can observe and track business metrics regardless of their physical location. In today’s business world, employees are often on the go, so the ability to see dashboards from mobile phones or tablets is convenient. This is important for C-level employees who might not always be in the office.

The ability to share [dashboards](https://www.g2.com/categories/data-visualization/f/dashboards) is another important feature of data visualization software. If a sales leader needs to send numbers to a company’s board of directors, easily emailing an entire dashboard is quick and easy. It is also beneficial to be able to share metrics internally with teams via email, if employees are unaware of how metrics are progressing.

Other features of data visualization software:[Charts and Graphs](https://www.g2.com/categories/data-visualization/f/charts-and-graphs), [Contact Center](https://www.g2.com/categories/data-visualization/f/contact-center), [Education](https://www.g2.com/categories/data-visualization/f/education), [Finance](https://www.g2.com/categories/data-visualization/f/finance), [IT & Development](https://www.g2.com/categories/data-visualization/f/it-and-development), and [Reports](https://www.g2.com/categories/data-visualization/f/reports).

### Kinds of Data Visualization Tools

Some data visualization solutions target specific industries or teams within a company, making them more unique than general data visualization software. A marketing team may opt to use a marketing analytics solution since they only want to visualize and track progress for specific marketing metrics. There are also sales analytics tools that only track sales metrics.

Additionally, many software products have some data visualization within them. For example, a CRM or help desk tool might have data visualization features, but they differ in the sense that these are simply features, not the product's main function.

### Software and Services Related to Data Visualization Tools

For business users interested in advanced analytics tools that contain more robust features, business intelligence tools are a step up from data visualization. Data analysts or data scientists most often utilize business intelligence platforms.

These platforms often require a good amount of coding or query language knowledge to access necessary data and transform it into visualizations. Self-service business intelligence solutions are aimed more at roles outside of analyst or data scientist, and allow users to perform analysis without a deeper knowledge of the back end. [Embedded business intelligence](https://www.g2.com/categories/embedded-business-intelligence) solutions may have self-service aspects, but these solutions embed the business intelligence capabilities within a third-party application.

The difference between business intelligence products and data visualization tools is that you can perform drill-downs and dig further into the data, right there in the business intelligence product with interactive data visualizations. Business intelligence tools focus more on exploratory data representations than just the raw data or metrics. Data visualization software is really just to see goals and track metric progress, not to dig into the data further and conduct deeper analysis.

For businesses that need to consume large data sets, [big data analytics](https://www.g2.com/categories/big-data-analytics) solutions may be the best option. These products pull mostly unstructured data from [big data processing and distribution](https://www.g2.com/categories/big-data-processing-and-distribution) systems, such as Hadoop, before putting them into big data analytics tools. These products require heavy development knowledge and are mostly utilized by data scientists at larger companies.